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1

Krause, Cassandra, Daniel Wulff, and Floris Ernst. "Target Tracking in 4D Ultrasound using Localization Networks." Current Directions in Biomedical Engineering 10, no. 2 (September 14, 2024): 29–32. http://dx.doi.org/10.1515/cdbme-2024-1059.

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Abstract In radiation therapy, breathing and other influences cause a constant movement of the tissue to be irradiated. Thus, a continuous position control is required which could be handled by the usage of 3D ultrasound imaging. For this purpose, two approaches for target tracking in 3D ultrasound (US) sequences of the liver are analyzed in this study. Therefore, an image-by-image localization of the target is performed using a deep localization network. A singletarget and a multiple-target approach are investigated where deep localization networks are trained for locating one specific and multiple specific targets, respectively. Training the networks and evaluating the tracking algorithm is performed on the basis of a labeled 3D US liver data set in 2-fold crossvalidation experiments. The single-target and multiple-target approaches performed comparable with a mean tracking error of 2.28±1.20mm and 2.23±1.28 mm, respectively. The proposed tracking algorithm is real-time capable with a mean runtime per 3D ultrasound image of 68ms.
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2

Provost, Jean. "Dynamic ultrasound localization microscopy." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A28. http://dx.doi.org/10.1121/10.0018037.

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Ultrasound localization microscopy (ULM) can map the vasculature at large depth with unprecedented resolution by localizing millions of injected microbubbles in hundreds of thousands of images acquired over a few minutes. The current state of the art in ULM is to use low concentrations to achieve the best possible spatial resolution without providing temporal information, which limits the development of functional biomarkers such as pulsality or the imaging of moving organs like the heart. In this work, we will present dynamic ultrasound localization microscopy (DULM), which enables the generation of dynamic images of the vasculature of periodic phenomena by using a combination of enhanced image formation and processing techniques to drastically increase the number of microbubbles that can be detected in each image. Specifically, we will describe how the detection of microbubbles directly in space time along with novel aberration correction algorithms and a motion-invariant Lagrangian beamforming approach can be used to increase the concentration of microbubbles 5-fold with a limited degradation in resolution. Examples of application for the mapping of pulsatility in the brain and the dynamics of the intramyocardial blood flow in 2D + t and 3D + t will be shown.
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3

Chinnaiyan, Prakash, Wolfgang Tomé, Rakesh Patel, Rick Chappell, and Mark Ritter. "3D-Ultrasound Guided Radiation Therapy in the Post-Prostatectomy Setting." Technology in Cancer Research & Treatment 2, no. 5 (October 2003): 455–58. http://dx.doi.org/10.1177/153303460300200511.

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Daily transabdominal ultrasound-directed localization has proven valuable in correcting for setup error and organ motion in the treatment of prostate cancer with three-dimensional conformal radiation therapy (3DCRT). The present study sought to determine whether this trans-abdominal ultrasound technology could also be reliably applied in the post-operative adjuvant or salvage setting to improve the reproducibility of coverage of the intended volumes and to enhance conformal avoidance of adjacent normal structures. Sixteen consecutive patients who received external beam radiotherapy underwent daily localization using an optically guided 3D-ultrasound target localization system (SonArray™, Zmed, Inc., Ashland, MA). Six of the above patients were treated in a post-prostatectomy setting, either adjuvantly or for salvage, while the remaining 10 with intact prostates were treated definitively. Because the bladder neck generally approximates the postoperative prostatic fossa, it was used during ultrasound localization as the primary reference structure for the post-prostatectomy patients. For patients treated definitively, the prostate was the primary reference structure. Daily shifts were recorded and port films were taken weekly immediately after ultrasound-based repositioning. By comparing port films taken after ultrasound localization, which evaluates for both set-up error and internal shift, with the original digitally reconstructed radiographs (DRRs), which represents a zero clinical set-up error situation, the degree of variability in organ position was determined. The average absolute, ultrasound-based shifts from the clinical set-up position in the anterior/posterior, lateral, and cranial/caudal directions for the post-prostatectomy patients were 5 ± 4 mm SD, 3 ± 3 mm SD, and 3 ± 4 mm SD over the entire course of treatment, respectively. The average vector length shift was 8 ± 4 mm SD. For patients treated with an intact prostate, the analogous average absolute shifts in the anterior/posterior, lateral, and cranial/caudal directions were 4 ± 3 mm SD, 4 ± 3 mm SD, and 4 ± 3 mm SD over the entire course of treatment. The average vector length shift was 7 ± 4 mm SD. Vector length shifts representing interfraction internal motion were estimated by comparing post-ultrasound port films with DRRs. These were 5 ± 3 mm SD and 4 ± 4mm SD for post-prostatectomy and intact prostate patients, respectively. These ultrasound-based displacements were not statistically different in patients with an intact prostate versus patients post-prostatectomy (p > 0.1). In conclusion, daily transabdominal 3D-ultrasound localization proved to be a clinically feasible method of correcting for set-up and internal motion displacements. The bladder neck, which serves as an adequate localization reference structure for the prostatic fossa, could be readily ultrasound imaged and repositioned as necessary. Daily internal motion errors that would have occurred if only pre-treatment port films were used were similar in magnitude to those observed for the patients with intact prostates and were of sufficient magnitude to support the use of daily pre-treatment ultrasound localization in the post-prostatectomy setting.
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4

Bandaru, Raja Sekhar, Anders Sørnes, Jan D'hooge, and Eigil Samset. "2066135 3D Localization of Specular Reflections Using Volumetric Ultrasound." Ultrasound in Medicine & Biology 41, no. 4 (April 2015): S56. http://dx.doi.org/10.1016/j.ultrasmedbio.2014.12.250.

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5

Zhong, Chunyan, Yanli Guo, Haiyun Huang, Liwen Tan, Yi Wu, and Wenting Wang. "Three-Dimensional Reconstruction of Coronary Arteries and Its Application in Localization of Coronary Artery Segments Corresponding to Myocardial Segments Identified by Transthoracic Echocardiography." Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/783939.

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Objectives.To establish 3D models of coronary arteries (CA) and study their application in localization of CA segments identified by Transthoracic Echocardiography (TTE).Methods.Sectional images of the heart collected from the first CVH dataset and contrast CT data were used to establish 3D models of the CA. Virtual dissection was performed on the 3D models to simulate the conventional sections of TTE. Then, we used 2D ultrasound, speckle tracking imaging (STI), and 2D ultrasound plus 3D CA models to diagnose 170 patients and compare the results to coronary angiography (CAG).Results.3D models of CA distinctly displayed both 3D structure and 2D sections of CA. This simulated TTE imaging in any plane and showed the CA segments that corresponded to 17 myocardial segments identified by TTE. The localization accuracy showed a significant difference between 2D ultrasound and 2D ultrasound plus 3D CA model in the severe stenosis group (P<0.05) and in the mild-to-moderate stenosis group (P<0.05).Conclusions.These innovative modeling techniques help clinicians identify the CA segments that correspond to myocardial segments typically shown in TTE sectional images, thereby increasing the accuracy of the TTE-based diagnosis of CHD.
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6

Yang, Xin, Yuhao Huang, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, et al. "Searching collaborative agents for multi-plane localization in 3D ultrasound." Medical Image Analysis 72 (August 2021): 102119. http://dx.doi.org/10.1016/j.media.2021.102119.

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7

Liu, Xinyu, Jinhua Yu, Yuanyuan Wang, and Ping Chen. "Automatic localization of the fetal cerebellum on 3D ultrasound volumes." Medical Physics 40, no. 11 (October 10, 2013): 112902. http://dx.doi.org/10.1118/1.4824058.

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8

Uherčík, Marián, Jan Kybic, Yue Zhao, Christian Cachard, and Hervé Liebgott. "Line filtering for surgical tool localization in 3D ultrasound images." Computers in Biology and Medicine 43, no. 12 (December 2013): 2036–45. http://dx.doi.org/10.1016/j.compbiomed.2013.09.020.

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9

Yao, Junjie. "Deep-brain imaging with 3D integrated photoacoustic tomography and ultrasound localization microscopy." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A53. http://dx.doi.org/10.1121/10.0026774.

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Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can quantify the brain’s oxygen saturation of hemoglobin (sO2), US imaging can probe the blood flow based on the Doppler effect. Furthermore, by tracking gas-filled microbubbles, ultrasound localization microscopy (ULM) can map the blood flow velocity with sub-diffraction spatial resolution. In this work, we present a 3D deep-brain imaging system that seamlessly integrates PACT and ULM into a single device, 3D-PAULM. Using a low ultrasound frequency of 4 MHz, 3D-PAULM is capable of imaging the whole-brain hemodynamic functions with intact scalp and skull in a totally non-invasive manner. Using 3D-PAULM, we studied the mouse brain functions with ischemic stroke. Multi-spectral PACT, US B-mode imaging, microbubble-enhanced power Doppler (PD), and ULM were performed on the same mouse brain with intrinsic image co-registration. From the multi-modality measurements, we future quantified blood perfusion, sO2, vessel density, and flow velocity of the mouse brain, showing stroke-induced ischemia, hypoxia, and reduced blood flow. We expect that 3D-PAULM can find broad applications in studying deep brain functions on small animal models.
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10

van der Burgt, Jeroen M. A., Saskia M. Camps, Maria Antico, Gustavo Carneiro, and Davide Fontanarosa. "Arthroscope Localization in 3D Ultrasound Volumes Using Weakly Supervised Deep Learning." Applied Sciences 11, no. 15 (July 25, 2021): 6828. http://dx.doi.org/10.3390/app11156828.

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This work presents an algorithm based on weak supervision to automatically localize an arthroscope on 3D ultrasound (US). The ultimate goal of this application is to combine 3D US with the 2D arthroscope view during knee arthroscopy, to provide the surgeon with a comprehensive view of the surgical site. The implemented algorithm consisted of a weakly supervised neural network, which was trained on 2D US images of different phantoms mimicking the imaging conditions during knee arthroscopy. Image-based classification was performed and the resulting class activation maps were used to localize the arthroscope. The localization performance was evaluated visually by three expert reviewers and by the calculation of objective metrics. Finally, the algorithm was also tested on a human cadaver knee. The algorithm achieved an average classification accuracy of 88.6% on phantom data and 83.3% on cadaver data. The localization of the arthroscope based on the class activation maps was correct in 92–100% of all true positive classifications for both phantom and cadaver data. These results are relevant because they show feasibility of automatic arthroscope localization in 3D US volumes, which is paramount to combining multiple image modalities that are available during knee arthroscopies.
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11

Robinson, Don, Derek Liu, Stephen Steciw, Colin Field, Helene Daly, Elantholi P. Saibishkumar, Gino Fallone, Matthew Parliament, and John Amanie. "An evaluation of the Clarity 3D ultrasound system for prostate localization." Journal of Applied Clinical Medical Physics 13, no. 4 (July 2012): 100–112. http://dx.doi.org/10.1120/jacmp.v13i4.3753.

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12

Tirona, R., G. Morton, M. Pearse, K. Sixel, and P. O'Brien. "166 Interfraction motion measured using 3D ultrasound and gold seed localization." Radiotherapy and Oncology 80 (September 2006): S48. http://dx.doi.org/10.1016/s0167-8140(06)80907-2.

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13

Zhao, Yue, Adeline Bernard, Christian Cachard, and Hervé Liebgott. "Biopsy Needle Localization and Tracking Using ROI-RK Method." Abstract and Applied Analysis 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/973147.

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ROI-RK method is a biopsy needle localization and tracking method. Previous research work has proved that it has a robust performance on different series of simulated 3D US volumes. Unfortunately, in real situations, because of the strong speckle noise of the ultrasound image and the different echogenic properties of the tissues, the real 3D US volumes have more complex background than the simulated images used previously. In this paper, to adapt the ROI-RK method in real 3D US volumes, a line-filter enhancement calculation only in the ROI is added to increase the contrast between the needle and background tissue, decreasing the phenomenon of expansion of the biopsy needle due to reverberation of ultrasound in the needle. To make the ROI-RK method more stable, a self-correction system is also implemented. Real data have been acquired on anex vivoheart of lamb. The result of the ROI-RK method shows that it is capable to localize and track the biopsy needle in real situations, and it satisfies the demand of real-time application.
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14

Heiles, Baptiste, Mafalda Correia, Vincent Hingot, Mathieu Pernot, Jean Provost, Mickael Tanter, and Olivier Couture. "Ultrafast 3D Ultrasound Localization Microscopy Using a 32 $\times$ 32 Matrix Array." IEEE Transactions on Medical Imaging 38, no. 9 (September 2019): 2005–15. http://dx.doi.org/10.1109/tmi.2018.2890358.

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15

Bouhanna, P., N. N. Lotersztajn, C. C. Harb, and G. Bader. "P30.03: Localization of essure microinserts with 3d transabdominal ultrasound after hysteroscopic sterilization." Ultrasound in Obstetrics & Gynecology 38, S1 (September 14, 2011): 267. http://dx.doi.org/10.1002/uog.9966.

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16

Lei, Shuang, Changlu Zhang, Benpeng Zhu, Zeping Gao, Qi Zhang, Jiamei Liu, Yongchuan Li, Hairong Zheng, and Teng Ma. "In vivo ocular microvasculature imaging in rabbits with 3D ultrasound localization microscopy." Ultrasonics 133 (August 2023): 107022. http://dx.doi.org/10.1016/j.ultras.2023.107022.

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17

Raga, Francisco, Francisco Bonilla, Fernando Bonilla-Musoles, and Juan Carlos Castillo. "3D, Vocal and Tomographic Ultrasound Image in Prenatal Diagnosis of Hypospadias." Donald School Journal of Ultrasound in Obstetrics and Gynecology 5, no. 4 (2011): 409–10. http://dx.doi.org/10.5005/jp-journals-10009-1217.

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ABSTRACT We report a case of anterior hypospadias, diagnosed at 26th week in a 37 years-old primigravida with normal 46XY kariotype through amniocentesis carried out at 16th week. Sonographic examination with 2D showed a short and curved penis. The use of three orthogonal planes, Tomographic Ultrasound Image (TUI) and VOCAL allowed an exact prenatal diagnostic, showing the “tulip” sign and defining localization, situation and extension of the urethral orifice.
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18

Lertsatittanakron, S., P. Thongchai, P. Chaicharoen, R. Arora, J. Siripaibun, P. Kummanee, P. Pharksuwan, and T. Fuangrod. "P250 Deep learning-based breast lesion localization and segmentation in 3d automated breast ultrasound (3d abus) images." Breast 68 (April 2023): S114—S115. http://dx.doi.org/10.1016/s0960-9776(23)00368-5.

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19

Dong, Zhijie, Shuangliang Li, Chengwu Huang, Matthew R. Lowerison, Dongliang Yan, Yike Wang, Shigao Chen, Jun Zou, and Pengfei Song. "Real-time 3D ultrasound imaging with a clip-on device attached to common 1D array transducers." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A102. http://dx.doi.org/10.1121/10.0026955.

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Performing 3D ultrasound imaging at a real-time volume rate (e.g., &gt;20 Hz) is a challenging task. While 2D array transducers remain the most practical approach for real-time 3D imaging, the large number of transducer elements (e.g., several thousand) that are necessary to cover an effective 3D field-of-view impose a fundamental constraint on imaging speed. Although solutions such as multiplexing and specialized transducers, including sparse arrays and row-column-addressing arrays, have been developed to address this limitation, they inevitably compromise imaging quality (e.g., SNR, resolution) in favor of speed. Coupled with the high equipment cost of 2D arrays, these compromises hinder the widespread adoption of 3D ultrasound imaging technologies in clinical settings. In this presentation, we introduce an innovative transducer clip-on device comprising a water-immersible, fast-tilting electromechanical acoustic reflector and a redirecting reflector to enable real-time 3D ultrasound imaging using common 1D array transducers. We will first introduce the principles underlying our novel technique, followed by validation studies incorporating simulation and experimental data. We will also demonstrate the feasibility of using the clip-on device to achieve a high 3D imaging volume rate that is suitable for advanced imaging modes such as shear wave elastography, blood flow imaging, and super-resolution ultrasound localization microscopy.
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Wang, Yike, YiRang Shin, Qi You, Bing-Ze Lin, Matthew R. Lowerison, and Pengfei Song. "Functional ultrasound localization microscopy in the murine brain: Challenges and new techniques." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A23. http://dx.doi.org/10.1121/10.0026656.

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Functional ultrasound localization microscopy (fULM) is a new technique that combines the principles of ULM and functional ultrasound (fUS) to achieve brain-wide and micrometer-scale mapping of brain neural activities based on neurovascular coupling. The unique combination of high imaging spatial resolution, large imaging field-of-view, and deep imaging depth of penetration makes fULM a potentially transformative technology for numerous neuroscience applications where activities from both global neural networks and local neurocircuits need to be recorded simultaneously and continuously. At present, however, fULM suffers from many technical and pragmatic challenges, including low sensitivity and specificity to neural activities, the need of long data acquisition with continuous infusion of microbubbles and repeated simulations, and the lack of viable 3D imaging solutions that are essential for neuroscience research. In this presentation, I will first introduce the principles and technical challenges of fULM, followed by recent advances achieved by our group including (1) enhanced microbubble localization, tracking, and other post-processing techniques to boost fULM’s sensitivity to neural activities; (2) 3D fULM based on 2D matrix arrays that are compatible with mainstream 256-channel ultrasound systems; and (3) an awake fULM imaging platform for mice and rats that allows whole-brain, microscopic-scale recording of functional neural activities in awake animals.
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21

Tomé, W., N. Orton, H. Jaradt, and M. Ritter. "35 On the use of 3D-ultrasound localization systems for in room imaging." Radiotherapy and Oncology 78 (March 2006): S13. http://dx.doi.org/10.1016/s0167-8140(06)80529-3.

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Bald, Christin, Robert Bergholz, and Gerhard Schmidt. "Automatic Localization of an Ultrasound Probe with the Help of Magnetic Sensors." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 317–20. http://dx.doi.org/10.1515/cdbme-2022-1081.

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Abstract Ultrasound measurements are a widely used instrument in clinical practice. For later traceability of the images, the position (and orientation) of the ultrasound probe must be recorded during the measurement. Until now this has to be done manually by the physician. An easier and more accurate approach would be the automatic tracking of the ultrasound probe. This contribution shows a first approach for automatically localizing the ultrasonic head during measurement. The proposed method is based on coils surrounding the patient bed and a 3D magnetic sensor placed on the ultrasound head. Besides some pre- and postprocessing steps, the proposed localization algorithm is based on trilateration followed by a least mean squares approach for refinement of the estimation. In a first proof-of-concept measurement with fixed positions and orientations of the ultrasound head a mean accuracy of 2.85 cm and 8.94 ◦was achieved. Additionally, a measurement with a moving ultrasound head is presented to demonstrate the real-time capability of the system. Finally, future steps for improving the automatic measurement are discussed, including a graphical user interface for the physician and the use of magnetoelectric sensors for measurement.
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23

Portilla, Gerardo, and Francisco Montero de Espinosa. "Device for Dual Ultrasound and Dry Needling Trigger Points Treatment." Sensors 23, no. 2 (January 4, 2023): 580. http://dx.doi.org/10.3390/s23020580.

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Ultrasound is a well-known tool to produce thermal and non-thermal effects on cells and tissues. These effects require an appropriate application of ultrasound in terms of localization and acoustic energy delivered. This article describes a new device that combines ultrasound and dry needling treatments. The non-thermal effects of ultrasound should locally amplify the needle’s effects. The ultrasound transducer can mechanically rotate in 3D space to align itself in the direction of the needle. The transducer electronically focuses the acoustic pressure automatically on the needle tip and its surroundings. A computer, using graphical interface software, controls the angulation of the array and the focus position.
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SUGIMOTO, Maasnori, Noriyoshi KANIE, Shigeki NAKAMURA, and Hiromichi HASHIZUME. "1A1-B11 An Accurate 3D Localization Technique using a Single Camera and Ultrasound(3D Measurement/Sensor Fusion(1))." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2012 (2012): _1A1—B11_1—_1A1—B11_4. http://dx.doi.org/10.1299/jsmermd.2012._1a1-b11_1.

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25

Demeulenaere, Oscar, Adrien Bertolo, Sophie Pezet, Nathalie Ialy-Radio, Bruno Osmanski, Clément Papadacci, Mickael Tanter, Thomas Deffieux, and Mathieu Pernot. "In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy." eBioMedicine 79 (May 2022): 103995. http://dx.doi.org/10.1016/j.ebiom.2022.103995.

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26

Chen, P., S. Turco, H. Wijkstra, A. Dilo, P. Huang, and M. Mischi. "Prostate cancer localization by 3D multiparametric contrast-ultrasound dispersion imaging and shear-wave elastography." European Urology Open Science 33 (November 2021): S160. http://dx.doi.org/10.1016/s2666-1683(21)02735-x.

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27

Kingma, Raoul, Robert N. Rohling, and Chris Nguan. "Registration of CT to 3D ultrasound using near-field fiducial localization: A feasibility study." Computer Aided Surgery 16, no. 2 (February 15, 2011): 54–70. http://dx.doi.org/10.3109/10929088.2011.556181.

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28

Wildeboer, R. R., R. J. G. Van Sloun, S. G. Schalk, C. K. Mannaerts, J. C. Van Der Linden, P. Huang, H. Wijkstra, and M. Mischi. "Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer." IEEE Transactions on Medical Imaging 37, no. 12 (December 2018): 2593–602. http://dx.doi.org/10.1109/tmi.2018.2843396.

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Johnston, H., M. Hilts, W. Beckham, and E. Berthelet. "3D ultrasound for prostate localization in radiation therapy: A comparison with implanted fiducial markers." Medical Physics 35, no. 6Part1 (May 20, 2008): 2403–13. http://dx.doi.org/10.1118/1.2924208.

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30

Zhao, Yue, Yi Shen, Adeline Bernard, Christian Cachard, and Hervé Liebgott. "Evaluation and comparison of current biopsy needle localization and tracking methods using 3D ultrasound." Ultrasonics 73 (January 2017): 206–20. http://dx.doi.org/10.1016/j.ultras.2016.09.006.

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31

Ali, Aziah, and Rajasvaran Logeswaran. "A visual probe localization and calibration system for cost-effective computer-aided 3D ultrasound." Computers in Biology and Medicine 37, no. 8 (August 2007): 1141–47. http://dx.doi.org/10.1016/j.compbiomed.2006.10.003.

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32

Yang, Hongxu, Caifeng Shan, Alexander F. Kolen, and Peter H. N. de With. "Catheter localization in 3D ultrasound using voxel-of-interest-based ConvNets for cardiac intervention." International Journal of Computer Assisted Radiology and Surgery 14, no. 6 (April 9, 2019): 1069–77. http://dx.doi.org/10.1007/s11548-019-01960-y.

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33

Bjelica, Dragana, Natasa Colakovic, Svetlana Opric, Darko Zdravkovic, Barbara Loboda, Simona Petricevic, Milan Gojgic, et al. "Non-Invasive 3D Breast Tumor Localization: A Viable Alternative to Invasive Tumor Marking." Cancers 16, no. 14 (July 17, 2024): 2564. http://dx.doi.org/10.3390/cancers16142564.

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Background: We present a detailed description and the preliminary results of our original technique for non-invasive three-dimensional tumor localization in the breast, which was created as an alternative to standard invasive tumor marking before neoadjuvant systemic therapy (NAST), aiming to enable adequate surgery after complete tumor regression. Methods: A detailed description of the technique is provided in the main text. The technique’s feasibility and precision were assessed in a single-arm, prospective study based on the histological parameters of the adequacy and rationality of the excision of completely regressed tumor beds. Results: Out of 94 recruited patients, 15 (16%) were deemed unsuitable, mainly due to the tumors’ inadequate ultrasound visibility. Among the 79 processed patients, 31 (39%) had complete clinical regression after NAST and were operated on using our technique. The histological parameters of surgical precision (signs of tumor regression: 24/31; microscopic cancer residues: 7/31) were verified in all excised specimens (100% precision). There were no positive margins in seven cases with microscopic residues, indicating our technique’s capacity to enable oncologically safe post-NAST surgery. Conclusions: The proposed technique is feasible and satisfactorily accurate in determining the location of regressed tumors, thus representing an alternative to invasive tumor marking, especially in surgical centers lacking trained staff and equipment for invasive marking. The technique’s limitations are mainly related to the inadequate ultrasound visibility of the tumor.
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34

Daoud, Mohammad I., Abdel-Latif Alshalalfah, Otmane Ait Mohamed, and Rami Alazrai. "A hybrid camera- and ultrasound-based approach for needle localization and tracking using a 3D motorized curvilinear ultrasound probe." Medical Image Analysis 50 (December 2018): 145–66. http://dx.doi.org/10.1016/j.media.2018.09.006.

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35

Tyloch, Janusz Ferdynand, Dominik Janusz Tyloch, Jan Adamowicz, Patryk Warsiński, Adam Ostrowski, Magdalena Nowikiewicz, and Tomasz Drewa. "Application of three-dimensional ultrasonography (3D ultrasound) to pretreatment evaluation of plastic induration of the penis (Peyronie’s disease)." Medical Ultrasonography 22, no. 2 (May 11, 2020): 159. http://dx.doi.org/10.11152/mu-2132.

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Aim: Peyronie’s disease (PD) or plastic induration of the penis, require complete evaluation of plaques in order to decide the best therapeutic option for patient. The purpose of this study is to compare the findings of three-dimensional ultrasound (3D US) and two-dimensional ultrasound (2D US) in patients with PD.Materials and methods: Twenty patients with PD aged 30 to 72 years were included in study. The examination was performed with a 12 MHz linear probe, using 2D US and 3D US. Localization and size of plaques were determined and time needed for imagine acquisition was determined in every case.Results: 3D ultrasound permits the visualization of the entire plaque in the coronal plane of plaque with its precise measurements. No statistical difference in plaque dimensions and its surface area assessment using 3D US and 2D US was found (127.72 mm² vs. 128.74 mm², p>0.05). The possibility to perform detailed analysis of the acquired images using generated digital cube reduced the average duration of the acquisition to 69.8 seconds (median 64 seconds) for 3D US vs. 151.25 seconds (median 145.5 seconds) for 2D US (p<0.05). A supplementary plaque was detected using 3D US.Conclusions: 3D US seems to be a valuable complement of 2D US for patients with PD. The acquisition time is significantly reduced using 3D US comparing to 2D US and thus it is more comfortable for the patient.
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Ipsen, Svenja, Ralf Bruder, Esben Schjødt Worm, Rune Hansen, Per Rugaard Poulsen, Morten Høyer, and Achim Schweikard. "Simultaneous acquisition of 4D ultrasound and wireless electromagnetic tracking for in-vivo accuracy validation." Current Directions in Biomedical Engineering 3, no. 2 (September 7, 2017): 75–78. http://dx.doi.org/10.1515/cdbme-2017-0016.

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AbstractUltrasound is being increasingly investigated for real-time target localization in image-guided interventions. Yet, in-vivo validation remains challenging due to the difficulty to obtain a reliable ground truth. For this purpose, real-time volumetric (4D) ultrasound imaging was performed simultaneously with electromagnetic localization of three wireless transponders implanted in the liver of a radiotherapy patient. 4D ultrasound and electromagnetic tracking were acquired at framerates of 12Hz and 8Hz, respectively, during free breathing over 8 min following treatment. The electromagnetic antenna was placed directly above and the ultrasound probe on the right side of the patient to visualize the liver transponders. It was possible to record 25.7 s of overlapping ultrasound and electromagnetic position data of one transponder. Good spatial alignment with 0.6 mm 3D root-mean-square error between both traces was achieved using a rigid landmark transform. However, data acquisition was impaired since the electromagnetic tracking highly influenced the ultrasound equipment and vice versa. High intensity noise streaks appeared in the ultrasound scan lines irrespective of the chosen frequency (1.7-3.3 MHz, 2/4 MHz harmonic). To allow for target visualization and tracking in the ultrasound volumes despite the artefacts, an online filter was designed where corrupted pixels in the newest ultrasound frame were replaced with non-corrupted pixels from preceding frames. Aside from these artefacts, the recorded electromagnetic tracking data was fragmented and only the transponder closest to the antenna could be detected over a limited period of six consecutive breathing cycles. This problem was most likely caused by interference from the metal holder of the ultrasound probe and was solved in a subsequent experiment using a 3D-printed non-metal probe fixation. Real-time wireless electromagnetic tracking was compared with 4D ultrasound imaging in-vivo for the first time. For stable tracking, large metal components need to be avoided during data acquisition and ultrasound filtering is required.
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Vezzetti, Enrico, Domenico Speranza, Federica Marcolin, Giulia Fracastoro, and Giorgia Buscicchio. "EXPLOITING 3D ULTRASOUND FOR FETAL DIAGNOSTIC PURPOSE THROUGH FACIAL LANDMARKING." Image Analysis & Stereology 33, no. 3 (June 14, 2014): 167. http://dx.doi.org/10.5566/ias.1100.

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In the last decade, three-dimensional landmarking has gained attention for different applications, such as face recognition for both identification of suspects and authentication, facial expression recognition, corrective and aesthetic surgery, syndrome study and diagnosis. This work focuses on the last one by proposing a geometrically-based landmark extraction algorithm aimed at diagnosing syndromes on babies before their birth. Pivotal role in this activity is the support provided by physicians and 3D ultrasound tools for working on real faces. In particular, the landmarking algorithm here proposed only relies on descriptors coming from Differential Geometry (Gaussian, mean, and principal curvatures, derivatives, coefficients of first and second fundamental forms, Shape and Curvedness indexes) and is tested on nine facial point clouds referred to nine babies taken by a three-dimensional ultrasound tool at different weeks' gestation. The results obtained, validated with the support of four practitioners, show that the localization is quite accurate. All errors lie in the range between 0 and 3.5 mm and the mean distance for each shell is in the range between 0.6 and 1.6 mm. The landmarks showing the highest errors are the ones belonging to the mouth region. Instead, the most precise landmark is the pronasal, on the nose tip, with a mean distance of 0.55 mm. Relying on current literature, this study is something missing in the state-of-the-art of the field, as present facial studies on 3D ultrasound do not work on automatic landmarking yet.
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Emons, Julius, Marius Wunderle, Arndt Hartmann, Marcus Radicke, Claudia Rauh, Michael Uder, Paul Gass, et al. "Initial clinical results with a fusion prototype for mammography and three-dimensional ultrasound with a standard mammography system and a standard ultrasound probe." Acta Radiologica 59, no. 12 (March 2, 2018): 1406–13. http://dx.doi.org/10.1177/0284185118762249.

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Background Combinations *Equal contributors. of different imaging techniques in fusion devices appear to be associated with improvements in diagnostic assessment. Purpose The aim of this study was to test the feasibility of using an automated standard three-dimensional (3D) ultrasound (US) device fused with standard mammography for the first time in breast cancer patients. Material and Methods Digital mammograms and 3D automated US images were obtained in 23 patients with highly suspicious breast lesions. A recently developed fusion machine consisting of an ABVS 3D US transducer from an Acuson S2000 machine and a conventional Mammomat Inspiration device (both Siemens Healthcare GmbH, Erlangen, Germany) were used for the purpose. The feasibility of the examinations, imaging coverage, and patients' experience of the procedure were examined. Results In 15 out of 19 patients, the region of interest (ROI) with the tumor marked in the mammogram was visible on US. The examination was experienced positively by the patients, with no unexpected pain or injury. The examination was time-saving and well tolerated. Conclusion In conclusion, we have shown initial clinical feasibility of an US/radiography fusion prototype with good localization and evaluation of the ROIs. The combined examination was well tolerated. The simultaneous evaluation with mammography and US imaging may be able to improve detection and reduce examiner-related variability.
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39

Pooh, Ritsuko K. "A New Field of ‘Fetal Sono-ophthalmology’ by 3D HDlive Silhouette and Flow." Donald School Journal of Ultrasound in Obstetrics and Gynecology 9, no. 3 (2015): 221–22. http://dx.doi.org/10.5005/jp-journals-10009-1407.

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ABSTRACT Diagnostic ultrasound technology has remarkably evolved and contributed to accurate prenatal diagnosis and management. HDlive silhouette and HDlive flow are new applications of threedimensional (3D) ultrasound technology. The algorism of HDlive silhouette creates a gradient at organ boundaries where an abrupt change of the acoustic impedance exists within tissues. HDlive silhouette and flow can be called as ‘see-through fashion’. The advantages of this ‘see-through fashion’ imaging are comprehensive orientation and persuasive localization of inner structure as well as of fetal angiostructure inside the morphological structure. Picture of the month demonstrates the fetal eye at 19 weeks of gestation. The lens, vitreous body and hyaloid artery inside the vitreous humor are well demonstrated. The hyaloid artery is retrogressing during pregnancy and no remnant hyaloid artery is visible in most of mature neonates. Therefore, hyaloid artery can be observed in only young fetuses and immature neonates. HDlive silhouette and flow has enabled us to depict fetal eye and ocular vascularity three-dimensionally. This new technology has a great potential to open a new field of ‘fetal 3D sono-ophthalmology’, which has been never invented by conventional ultrasound technology. How to cite this article Pooh RK. A New Field of ‘Fetal Sonoophthalmology’ by 3D HDlive Silhouette and Flow. Donald School J Ultrasound Obstet Gynecol 2015;9(3):221-222.
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Chen, Xin, Houjin Chen, Yahui Peng, Liu Liu, and Chang Huang. "A Freehand 3D Ultrasound Reconstruction Method Based on Deep Learning." Electronics 12, no. 7 (March 23, 2023): 1527. http://dx.doi.org/10.3390/electronics12071527.

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In the medical field, 3D ultrasound reconstruction can visualize the internal structure of patients, which is very important for doctors to carry out correct analyses and diagnoses. Furthermore, medical 3D ultrasound images have been widely used in clinical disease diagnosis because they can more intuitively display the characteristics and spatial location information of the target. The traditional way to obtain 3D ultrasonic images is to use a 3D ultrasonic probe directly. Although freehand 3D ultrasound reconstruction is still in the research stage, a lot of research has recently been conducted on the freehand ultrasound reconstruction method based on wireless ultrasonic probe. In this paper, a wireless linear array probe is used to build a freehand acousto-optic positioning 3D ultrasonic imaging system. B-scan is considered the brightness scan. It is used for producing a 2D cross-section of the eye and its orbit. This system is used to collect and construct multiple 2D B-scans datasets for experiments. According to the experimental results, a freehand 3D ultrasonic reconstruction method based on depth learning is proposed, which is called sequence prediction reconstruction based on acoustic optical localization (SPRAO). SPRAO is an ultrasound reconstruction system which cannot be put into medical clinical use now. Compared with 3D reconstruction using a 3D ultrasound probe, SPRAO not only has a controllable scanning area, but also has a low cost. SPRAO solves some of the problems in the existing algorithms. Firstly, a 60 frames per second (FPS) B-scan sequence can be synthesized using a 12 FPS wireless ultrasonic probe through 2–3 acquisitions. It not only effectively reduces the requirement for the output frame rate of the ultrasonic probe, but also increases the moving speed of the wireless probe. Secondly, SPRAO analyzes the B-scans through speckle decorrelation to calibrate the acousto-optic auxiliary positioning information, while other algorithms have no solution to the cumulative error of the external auxiliary positioning device. Finally, long short-term memory (LSTM) is used to predict the spatial position and attitude of B-scans, and the calculation of pose deviation and speckle decorrelation is integrated into a 3D convolutional neural network (3DCNN). Prepare for real-time 3D reconstruction under the premise of accurate spatial pose of B-scans. At the end of this paper, SPRAO is compared with linear motion, IMU, speckle decorrelation, CNN and other methods. From the experimental results, it can be observed that the spatial pose deviation of B-scans output using SPRAO is the best of these methods.
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Paskalev, K., C.-M. Ma, R. Jacob, R. Price, S. McNeeley, L. Wang, B. Movsas, and A. Pollack. "Daily target localization for prostate patients based on 3D image correlation." Physics in Medicine and Biology 49, no. 6 (February 24, 2004): 931–39. http://dx.doi.org/10.1088/0031-9155/49/6/005.

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Selim, Hossam, José Trull, Miguel Delgado Prieto, Rubén Picó, Luis Romeral, and Crina Cojocaru. "Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window." Sensors 19, no. 9 (May 8, 2019): 2138. http://dx.doi.org/10.3390/s19092138.

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Nondestructive testing of metallic objects that may contain embedded defects of different sizes is an important application in many industrial branches for quality control. Most of these techniques allow defect detection and its approximate localization, but few methods give enough information for its 3D reconstruction. Here we present a hybrid laser–transducer system that combines remote, laser-generated ultrasound excitation and noncontact ultrasonic transducer detection. This fully noncontact method allows access to scan areas on different object’s faces and defect details from different angles/perspectives. This hybrid system can analyze the object’s volume data and allows a 3D reconstruction image of the embedded defects. As a novelty for signal processing improvement, we use a 2D apodization window filtering technique, applied along with the synthetic aperture focusing algorithm, to remove the undesired effects due to side lobes and wide-angle reflections of propagating ultrasound waves, thus enhancing the resulting 3D image of the defect. Finally, we provide both qualitative and quantitative volumetric results that yield valuable information about defect location and size.
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43

Nahar, Ziban, AHM Tohurul Islam, N. Atia Lovely, and M. Hafizur Rahman. "Diagnostic Role of Ultrasonography in Obstetrics and Gynaecology." TAJ: Journal of Teachers Association 24, no. 2 (November 28, 2018): 152–55. http://dx.doi.org/10.3329/taj.v24i2.37547.

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Ultrasonography (USG) is widely used in both gynaecology and obstetrics. USG has become an indispensable diagnostic tool. Specially in our developing country. Advanced US technologies, such as 3D sonography, provide powerful and highly accurate diagnostic tools. The clinical applications and uses of ultrasound include confirmation of pregnancy including multiple gestation, estimation of gestational age, localization of placenta and monitoring of foetal wellbeing. The others are evaluation of caesarean section scar integrity and post partum haemorrhage. Ultrasound is also useful in prenatal diagnosis of foetal anomaly. The clinical uses of ultrasound in gynaecology include diagnosis of uterine abnormality, ovarian tumour. Ovarian follicles follow up in infertility, diagnosis of ectopic pregnancy, evaluation of abortion case. Detection of pelvic mass & polycystic ovarian disease is also important. Ultrasound guided FNAC is also an important diagnostic tool.TAJ 2011; 24(2): 152-155
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Chavignon, Arthur, Baptiste Heiles, Vincent Hingot, Cyrille Orset, Denis Vivien, and Olivier Couture. "Deep and Complex Vascular Anatomy in the Rat Brain Described With Ultrasound Localization Microscopy in 3D." IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control 3 (2023): 203–9. http://dx.doi.org/10.1109/ojuffc.2023.3342751.

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45

Pooh, Ritsuko K. "Novel Application of HDlive Silhouette and HDliveFlow: Clinical Significance of the ‘See-through Fashion’ in Prenatal Diagnosis." Donald School Journal of Ultrasound in Obstetrics and Gynecology 10, no. 1 (2016): 90–98. http://dx.doi.org/10.5005/jp-journals-10009-1447.

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ABSTRACT Owing to prenatal ultrasound technology, there has been an immense acceleration in understanding of early human development. Recent advanced three-dimensional (3D) technology has produced exciting new applications of high-definition live (HDlive) silhouette and HDliveFlow imaging. By HDlive silhouette mode, an inner cystic structure with fluid collection can be depicted through the outer surface structure of the body and it can be appropriately named as see-through fashion’. Additionally, HDlive silhouette can depict hyperechoic structures, such as bones because skeletal system is demonstrated by ultrasound as conspicuously echogenic organs. HDliveFlow imaging adds more spatial resolution to conventional 3D ultrasound angiogram. HDliveFlow imaging demonstrates fine peripheral blood vessels, such as vascularity of the lung, brain and eyeballs. HDliveFlow combined with silhouette mode demonstrates the accurate location of vascularity inside organs. Simultaneous visualization of both structure and vascularity is quite comprehensive and may add further clinical information of vascularization. Thus, ‘see-through fashion’ imaging technology provides us comprehensive orientation and persuasive localization of inner morphological structure as well as of angiostructure inside the fetal organs. HDlive silhouette and flow imaging add further clinical significance to conventional three/four-dimensional (3D/4D) imaging in fields of sonoembryology and neurosonology, and may open up a new field of sono-ophthalmology. Owing to novel applications with clinical significance, fetal ultrasound is at present noninvasive, direct-viewing of the embryo/fetus, and all-inclusive technology, and is definitely the first modality of prenatal diagnosis with infinite potential. How to cite this article Pooh RK. Novel Application of HDlive Silhouette and HDliveFlow: Clinical Significance of the ‘Seethrough Fashion’ in Prenatal Diagnosis. Donald School J Ultrasound Obstet Gynecol 2016;10(1):90-98.
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Ding, Lei, Gregory A. Worrell, Terrence D. Lagerlund, and Bin He. "3D source localization of interictal spikes in epilepsy patients with MRI lesions." Physics in Medicine and Biology 51, no. 16 (August 2, 2006): 4047–62. http://dx.doi.org/10.1088/0031-9155/51/16/011.

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47

Fornaser, Alberto, Luca Maule, Alessandro Luchetti, Paolo Bosetti, and Mariolino De Cecco. "Self-Weighted Multilateration for Indoor Positioning Systems." Sensors 19, no. 4 (February 20, 2019): 872. http://dx.doi.org/10.3390/s19040872.

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The paper proposes an improved method for calculating the position of a movable tag whose distance to a (redundant) set of fixed beacons is measured by some suitable physical principle (typically ultra wide band or ultrasound propagation). The method is based on the multilateration technique, where the contribution of each individual beacon is weighed on the basis of a recurring, self-supported calibration of the measurement repeatability of each beacon at a given distance range. The work outlines the method and its implementation, and shows the improvement in measurement quality with respect to the results of a commercial Ultra-Wide-Band (UWB) system when tested on the same set of raw beacon-to-tag distances. Two versions of the algorithm are proposed: one-dimensional, or isotropic, and 3D. With respect to the standard approach, the isotropic solution managed to reduce the maximum localization error by around 25%, with a maximum error of 0.60 m, while the 3D version manages to improve even further the localization accuracy, with a maximum error of 0.45 m.
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Korol, R., M. Lock, G. Bauman, K. Plona, M. Fayle, and E. Wong. "SU-E-U-07: Comparison of 3D Ultrasound Prostate Localization with Electronic Portal Imaging of Fiducial Markers." Medical Physics 38, no. 6Part25 (June 2011): 3699. http://dx.doi.org/10.1118/1.3612867.

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Favre, Hugues, Mathieu Pernot, Mickael Tanter, and Clément Papadacci. "Boosting transducer matrix sensitivity for 3D large field ultrasound localization microscopy using a multi-lens diffracting layer: a simulation study." Physics in Medicine & Biology 67, no. 8 (April 7, 2022): 085009. http://dx.doi.org/10.1088/1361-6560/ac5f72.

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Abstract Mapping blood microflows of the whole brain is crucial for early diagnosis of cerebral diseases. Ultrasound localization microscopy (ULM) was recently applied to map and quantify blood microflows in 2D in the brain of adult patients down to the micron scale. Whole brain 3D clinical ULM remains challenging due to the transcranial energy loss which significantly reduces the imaging sensitivity. Large aperture probes with a large surface can increase both resolution and sensitivity. However, a large active surface implies thousands of acoustic elements, with limited clinical translation. In this study, we investigate via simulations a new high-sensitive 3D imaging approach based on large diverging elements, combined with an adapted beamforming with corrected delay laws, to increase sensitivity. First, pressure fields from single elements with different sizes and shapes were simulated. High directivity was measured for curved element while maintaining high transmit pressure. Matrix arrays of 256 elements with a dimension of 10 × 10 cm with small (λ/2), large (4λ), and curved elements (4λ) were compared through point spread functions analysis. A large synthetic microvessel phantom filled with 100 microbubbles per frame was imaged using the matrix arrays in a transcranial configuration. 93% of the bubbles were detected with the proposed approach demonstrating that the multi-lens diffracting layer has a strong potential to enable 3D ULM over a large field of view through the bones.
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Grubb, Christopher S., Lea Melki, Daniel Y. Wang, James Peacock, Jose Dizon, Vivek Iyer, Carmine Sorbera, et al. "Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging." Science Translational Medicine 12, no. 536 (March 25, 2020): eaax6111. http://dx.doi.org/10.1126/scitranslmed.aax6111.

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Cardiac arrhythmias are a major cause of morbidity and mortality worldwide. The 12-lead electrocardiogram (ECG) is the current noninvasive clinical tool used to diagnose and localize cardiac arrhythmias. However, it has limited accuracy and is subject to operator bias. Here, we present electromechanical wave imaging (EWI), a high–frame rate ultrasound technique that can noninvasively map with high accuracy the electromechanical activation of atrial and ventricular arrhythmias in adult patients. This study evaluates the accuracy of EWI for localization of various arrhythmias in all four chambers of the heart before catheter ablation. Fifty-five patients with an accessory pathway (AP) with Wolff-Parkinson-White (WPW) syndrome, premature ventricular complexes (PVCs), atrial tachycardia (AT), or atrial flutter (AFL) underwent transthoracic EWI and 12-lead ECG. Three-dimensional (3D) rendered EWI isochrones and 12-lead ECG predictions by six electrophysiologists were applied to a standardized segmented cardiac model and subsequently compared to the region of successful ablation on 3D electroanatomical maps generated by invasive catheter mapping. There was significant interobserver variability among 12-lead ECG reads by expert electrophysiologists. EWI correctly predicted 96% of arrhythmia locations as compared with 71% for 12-lead ECG analyses [unadjusted for arrhythmia type: odds ratio (OR), 11.8; 95% confidence interval (CI), 2.2 to 63.2; P = 0.004; adjusted for arrhythmia type: OR, 12.1; 95% CI, 2.3 to 63.2; P = 0.003]. This double-blinded clinical study demonstrates that EWI can localize atrial and ventricular arrhythmias including WPW, PVC, AT, and AFL. EWI when used with ECG may allow for improved treatment for patients with arrhythmias.
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