Relevant bibliographies by topics / Ultrasound guided intervention

Academic literature on the topic 'Ultrasound guided intervention'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Ultrasound guided intervention"

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Douglas, Bruce R., J. William Charboneau, and Carl C. Reading. "ULTRASOUND-GUIDED INTERVENTION." Radiologic Clinics of North America 39, no. 3 (May 2001): 415–28. http://dx.doi.org/10.1016/s0033-8389(05)70289-x.

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O'Connor, P. J. "Ultrasound Guided Musculoskeletal Intervention." BMUS Bulletin 6, no. 4 (November 1998): 34–38. http://dx.doi.org/10.1177/1742271x9800600409.

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Nam, Kwangwoo, and Tae Jun Song. "Endoscopic Ultrasound Guided Intervention." Korean Journal of Medicine 89, no. 5 (November 1, 2015): 507–14. http://dx.doi.org/10.3904/kjm.2015.89.5.507.

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Chan, Shirley, and Devang Butani. "Ultrasound-Guided Biliary Intervention." Ultrasound Clinics 8, no. 2 (April 2013): 165–70. http://dx.doi.org/10.1016/j.cult.2012.12.005.

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Allam, Abdallah El-Sayed, Adham Aboul Fotouh Khalil, Basma Aly Eltawab, Wei-Ting Wu, and Ke-Vin Chang. "Ultrasound-Guided Intervention for Treatment of Trigeminal Neuralgia: An Updated Review of Anatomy and Techniques." Pain Research and Management 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/5480728.

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Orofacial myofascial pain is prevalent and most often results from entrapment of branches of the trigeminal nerves. It is challenging to inject branches of the trigeminal nerve, a large portion of which are shielded by the facial bones. Bony landmarks of the cranium serve as important guides for palpation-guided injections and can be delineated using ultrasound. Ultrasound also provides real-time images of the adjacent muscles and accompanying arteries and can be used to guide the needle to the target region. Most importantly, ultrasound guidance significantly reduces the risk of collateral injury to vital neurovascular structures. In this review, we aimed to summarize the regional anatomy and ultrasound-guided injection techniques for the trigeminal nerve and its branches, including the supraorbital, infraorbital, mental, auriculotemporal, maxillary, and mandibular nerves.
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Choi, Yong-Soo, and Ju-Yeong Heo. "Ultrasound-Guided Intervention in Lumbar Spine." Journal of the Korean Orthopaedic Association 50, no. 2 (2015): 107. http://dx.doi.org/10.4055/jkoa.2015.50.2.107.

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Sun, Seung Deok, Byung Kwon Chang, and Sang Ho Moon. "Ultrasound-Guided Intervention in Cervical Spine." Journal of the Korean Orthopaedic Association 50, no. 2 (2015): 77. http://dx.doi.org/10.4055/jkoa.2015.50.2.77.

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Moon, Sang Ho, Song Lee, and Jae Il Lee. "Ultrasound-Guided Intervention in Thoracic Spine." Journal of the Korean Orthopaedic Association 50, no. 2 (2015): 93. http://dx.doi.org/10.4055/jkoa.2015.50.2.93.

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Shimamura, Yuto, Jeffrey Mosko, Christopher Teshima, and Gary R. May. "Endoscopic Ultrasound-Guided Pancreatic Duct Intervention." Clinical Endoscopy 50, no. 2 (March 30, 2017): 112–16. http://dx.doi.org/10.5946/ce.2017.046.

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Peng, Philip, and Neilesh Soneji. "Ultrasound-guided intervention for pain management." Pain Management 4, no. 1 (January 2014): 13–15. http://dx.doi.org/10.2217/pmt.13.70.

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Dissertations / Theses on the topic "Ultrasound guided intervention"

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Xiao, Xu. "Real time motion tracking in image guided focused ultrasound intervention." Thesis, University of Dundee, 2014. https://discovery.dundee.ac.uk/en/studentTheses/09406ccb-bafb-4b44-adcb-20c6cc98caae.

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Focused ultrasound surgery (FUS) or high intensity focused ultrasound (HIFU), is a promising technique for less- or non-invasively destroying unhealthy tissue deep inside the body, without damage to the skin or surrounding tissues. The procedure has been performed under both diagnostic ultrasound and MRI guidance. Treating cancers and metastases in the liver that are unresectable is a potential application for FUS. However the respiratory motion hindered FUS treatment of liver to become a completely non-invasive technique. The method is currently limited to breath-hold treatments under general anaesthesia that is uncomfortable for patients. The purpose of this study is to investigate key issues of US and MRI guided real-time target ablation when the target is in free breathing motion state which is similar to human liver motion. For the ultrasound guided focused ultrasound (USgFUS), diagnostic ultrasound B-mode image was used to track a moving target. The possibility of using strain sonoelastography to assess FUS lesion formation was explored. Multi-layered tissue mimicking phantoms were designed and fabricated to mimic the graphical features of tumours in human livers in diagnostic ultrasound images. The phantom was then fixed onto three motion setups: 1) controllable 1D reciprocal motion stage, 2) controllable 2D reciprocal motion stage, and 3) ventilator driven balloon to mimic breath motion. Active snake tracking was developed to follow the moving phantom to evaluate the tracking accuracy and speed. This method can achieve a speed of 5~6 frames/second with an error less than 1.0 mm. Strain sonoelastography is selected to assess lesion formation for FUS. Through comparisons of the elastograms between pre- and post-FUS around the focal zone, useful information about the FUS-induced lesions could be extracted from the elastographic artefacts. The performance of elastography to assess FUS lesion in egg-white Polyacrylamide (PAA) phantoms and fresh sheep livers was tested. The FUS lesions in the experiment samples (PAA phantoms and fresh sheep livers) were recognizable under strain sonoelastography after image processing. For MRI guided focused ultrasound (MRgFUS), a moving target with similar graphical features of tumours in human liver was tracked via analysing MRI scans. Then letting the ultrasound beam lock onto a moving target was realized via beam-steering by a phased-array HIFU transducer. An MR compatible robotic arm-INNOMOTION was introduced. A fast localization method was developed to make the robotic arm guided HIFU transducer more efficiently. What is more, it becomes a controllable reciprocal moving setup for investigating the raised issues of MRgFUS for motion tracking in this study. Two normal volunteers were scanned via MR scanner. The data was used to 1) design tissue mimicking phantoms with similar graphical features to the volunteer livers, 2) design respiratory motion simulator based on the estimated liver motion parameters, 3) and develop motion tracking algorithm based on the image features of the volunteer livers. The tissue mimicking phantoms appeared to be similar to the structures of volunteer livers in the MR echo planar imaging (EPI) scans. An experiment setup, in which the tissue mimicking phantoms was controlled to move reciprocally, was designed. The off-line MATLAB algorithm based on cross correlation proved to have an acceptable error less than 1.0 mm. A synchronization system between the target motion and beam-steering was built. Several key problems for motion tracking were studied including how to realize beam-steering with a phased-array transducer, how to map target location in the MR frame to the focus position in the transducer frame, and how to use a step-by-step local sonication series to approximate continuous beam-steering. The system’s performance was tested with a series of sonications, in which temperature rises were compared between when the target was moving with and without tracking. A primary conclusion can be made that tracking could decrease the impact of target movement in focused ultrasound ablation. Tracking could be considered as a compensatory method to liver motion caused by respiration during MRgFUS treatment. In conclusion, the thesis proposed a promising research direction to solve the issue of target motion in FUS treatment of human livers and other abdominal organs. The study achieved the target motion tracking both with diagnostic ultrasound and MRI guidance. The focus steering of HIFU transducer was realized accordingly in the MRgFUS, which can allow the focused ultrasound beam to follow a moving target. The strain sonoelastography had proved to become a potential method to assess FUS lesion formation. This study also brings more issues to be solved, e.g. the noise in diagnostic ultrasound during USgFUS tracking, real-time sonoelastography monitoring lesion formation, and new MRI thermometry that is less susceptible to target motion. The real-time image guided FUS would be more promising by overcoming these technical difficulties.
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Shahin, Osama [Verfasser]. "Minimally invasive navigated liver intervention : ultrasound-guided surgery and ablation validation / Osama Shahin." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/105431490X/34.

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Najafi, Mohammad. "New methods for calibration and tool tracking in ultrasound-guided interventions." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/51776.

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Ultrasound is a safe, portable, inexpensive and real-time modality that can produce 2D and 3D images. It is a valuable intra-operative imaging modality to guide surgeons aiming to achieve higher accuracy of the intervention and improve patient outcomes. In all the clinical applications that use tracked ultrasound, one main challenge is to precisely locate the ultrasound image pixels with respect to a tracking sensor on the transducer. This process is called spatial calibration and the objective is to determine the spatial transformation between the ultrasound image coordinates and a coordinate system defined by the tracking sensor on the transducer housing. Another issue in ultrasound guided interventions is that tracking surgical tools (for example an epidural needle) usually requires expensive, large optical trackers or low accuracy magnetic trackers and there is a need for a low-cost, easy-to-use and accurate solution. In this thesis, for the first problem I have proposed two novel complementary methods for ultrasound calibration that provide ease of use and high accuracy. These methods are based on my differential technique which enables high measurement accuracy. I developed a closed-form formulation that makes it possible to achieve high accuracy with using a low number of images. For the second problem, I developed a method to track surgical tools (epidural needles in particular) using a single camera mounted on the ultrasound transducer to facilitate ultrasound guided interventions. The first proposed ultrasound calibration method achieved an accuracy of 0.09 ± 0.39 mm. The second method with a much simpler phantom yet achieved similar accuracy compared to the N-wire method. The proposed needle tracking method showed high accuracy of 0.94 ± 0.46 mm.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Chen, Kuiran. "An Automated Ultrasound Calibration Framework Incorporating Elevation Beamwidth for Tracked Ultrasound Interventions." Thesis, 2012. http://hdl.handle.net/1974/7614.

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Image-guided surgeries employ advanced imaging and computing technologies to assist the surgeon when direct visualization is inadequate or unavailable. As modern surgeries continue to move toward minimally invasive procedures, tracked ultrasound (US), an emerging technology that uniquely combines US imaging and position tracking, has been increasingly used for intraoperative guidance in surgical interventions. The intrinsic accuracy of a tracked US system is primarily determined by a unique procedure called ``probe calibration", where a spatial registration between the coordinate systems of the transducer (provided by a tracking device affixed to the probe) and the US image plane must be established prior to imaging. Inaccurate system calibration causes misalignments between the US image and the surgical end-effectors, which may directly contribute to treatment failure. The probe calibration quality is further reduced by the "elevation beamwidth" or "slice thickness", a unique feature of the ultrasound beam pattern that gives rise to localization errors and imaging uncertainties. In this thesis, we aim to provide an automated, pure-computation-based, intraoperative calibration solution that also incorporates the slice thickness to improve the calibration accuracy, precision and reliability. The following contributions have been made during the course of this research. First, we have designed and developed an automated, freehand US calibration system with instant feedback on its calibration accuracy. The system was able to consistently achieve submillimeter accuracy with real-time performance. Furthermore, we have developed a novel beamwidth-weighted calibration framework (USB-FW) that incorporates US slice thickness to improve the estimation of calibration parameters. The new framework provides an effective means of quality control for calibration results. Extensive phantom validation demonstrated that USB-FW introduces statistically significant reduction (p = 0.001) in the calibration errors and produces calibration outcomes that are less variable than a conventional, non-beamwidth-weighted calibration. Finally, we were the first to introduce an automated, intraoperative Transrectal Ultrasound (TRUS) calibration technology for needle guidance in prostate brachytherapy. Our tests with multiple commercial TRUS scanners and brachytherapy stepper systems demonstrated that the proposed method is practical in use and can achieve high calibration accuracy, precision and robustness.
Thesis (Ph.D, Computing) -- Queen's University, 2012-10-22 16:18:55.439
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Books on the topic "Ultrasound guided intervention"

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Vikram, Dogra, and Saad Wael E. A, eds. Ultrasound-guided procedures. New York: Thieme, 2009.

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Rosenblum, David, and Ralph Bar-El. Ultrasound Guided Interventions for Lower Back Pain. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93526-9.

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Atlas of ultrasound-guided regional anesthesia. 2nd ed. Philadelphia, PA: Elsevier/Saunders, 2013.

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Atlas of ultrasound-guided regional anesthesia. Philadelphia, PA: Saunders/Elsevier, 2010.

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Narouze, Samer N., ed. Atlas of Ultrasound-Guided Procedures in Interventional Pain Management. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7754-3.

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Narouze, Samer N., ed. Atlas of Ultrasound-Guided Procedures in Interventional Pain Management. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1681-5.

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Atlas of ultrasound-guided procedures in interventional pain management. New York: Springer, 2011.

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Babak, Khabiri, and Norton John A. 1971-, eds. Ultrasound-guided regional anesthesia: A practical approach to peripheral nerve blocks and perineural catheters. Cambridge: Cambridge University Press, 2010.

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Elizabeth, Berry, and National Co-ordinating Centre for HTA (Great Britain), eds. Intravascular ultrasound-guided interventions in coronary artery disease: A systematic literature review, with decision-analytic modelling, of outcomes and cost-effectiveness. Alton: Core Research on behalf of the NCCHTA, 2000.

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Gofeld, Michael, and Rami A. Kamel. Ultrasound-Guided Spine Interventions. Edited by Mehul J. Desai. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199350940.003.0026.

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This chapter reviews recent advances in ultrasound-guided spine procedures. The evidence-based foundation of these methods is examined and ultrasonography is compared with other imaging techniques. The equipment is briefly described. Ultrasound-guided interventional techniques published in peer-reviewed literature are discussed, with selected techniques described in detail. These techniques are classified regionally beginning with the cervical spine and ending with the sacroiliac joints.
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Book chapters on the topic "Ultrasound guided intervention"

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Nouer Frederico, Thiago, and Philip Peng. "Ultrasound-Guided Knee Intervention." In Ultrasound for Interventional Pain Management, 283–300. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18371-4_23.

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O’Connor, Philip J. "Ultrasound-Guided Sports Intervention." In Essential Radiology for Sports Medicine, 241–50. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5973-7_11.

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Nassar, Lara. "Ultrasound-Guided Core Biopsy of Breast Lesion." In Procedural Dictations in Image-Guided Intervention, 81–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40845-3_21.

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Fichtinger, Gabor, Jonathan Fiene, Christopher W. Kennedy, Gernot Kronreif, Iulian I. Iordachita, Danny Y. Song, E. Clif Burdette, and Peter Kazanzides. "Robotic Assistance for Ultrasound Guided Prostate Brachytherapy." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, 119–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75757-3_15.

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Hong, Sung-Jin, Yangsoo Jang, and Byeong-Keuk Kim. "Clinical Evidence of Intravascular Ultrasound-Guided Percutaneous Coronary Intervention." In Coronary Imaging and Physiology, 37–47. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2787-1_5.

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Surry, Kathleen J. M., Wendy L. Smith, Gregory R. Mills, Donal B. Downey, and Aaron Fenster. "A Mechanical, Three-Dimensional, Ultrasound-Guided Breast Biopsy Apparatus." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, 232–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45468-3_28.

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Lu, Huanxiang, Junbo Li, Qiang Lu, Shyam Bharat, Ramon Erkamp, Bin Chen, Jeremy Drysdale, Francois Vignon, and Ameet Jain. "A New Sensor Technology for 2D Ultrasound-Guided Needle Tracking." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 389–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10470-6_49.

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Ni, Dong, Wing-Yin Chan, Jing Qin, Yingge Qu, Yim-Pan Chui, Simon S. M. Ho, and Pheng-Ann Heng. "An Ultrasound-Guided Organ Biopsy Simulation with 6DOF Haptic Feedback." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, 551–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85990-1_66.

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Grimwood, Alex, Helen McNair, Yipeng Hu, Ester Bonmati, Dean Barratt, and Emma J. Harris. "Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 544–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_52.

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Higano, Stuart T., and David R. Holmes. "Intravascular Ultrasound-Guided Selection of New Coronary Devices in Coronary Intervention." In Coronary Stenosis Morphology: Analysis and Implication, 281–310. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6287-0_12.

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Conference papers on the topic "Ultrasound guided intervention"

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Fenster, Aaron, Jeff Bax, Hamid Neshat, Derek Cool, Nirmal Kakani, and Cesare Romagnoli. "3D ultrasound imaging in image-guided intervention." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6945033.

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Kim, Chunwoo, Felix Schafer, Doyoung Chang, Doru Petrisor, Misop Han, and Dan Stoianovici. "Robot for ultrasound-guided prostate imaging and intervention." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048281.

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Chunwoo Kim, F. Schafer, Doyoung Chang, D. Petrisor, Misop Han, and D. Stoianovici. "Robot for ultrasound-guided prostate imaging and intervention." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6094727.

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de Korte, C. L., G. Weijers, D. M. Vriezema, A. R. Keereweer, J. M. Thijssen, and H. H. G. Hansen. "Quantitative analysis of coated needles for ultrasound guided intervention." In 2011 IEEE International Ultrasonics Symposium (IUS). IEEE, 2011. http://dx.doi.org/10.1109/ultsym.2011.0390.

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Sadiq, Muhammad R., Sandy Cochran, Xiaochun Liao, and Zhihong Huang. "Enhanced US-guided needle intervention through ultrasound actuation of a standard needle." In 2014 IEEE International Ultrasonics Symposium (IUS). IEEE, 2014. http://dx.doi.org/10.1109/ultsym.2014.0203.

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Kanithi, Praveen Kumar, Jyotirmoy Chatterjee, and Debdoot Sheet. "Immersive augmented reality system for assisting needle positioning during ultrasound guided intervention." In the Tenth Indian Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/3009977.3010023.

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Farahani, Keyvan, and Keyvan Farahani. "Notice of Removal: Frontiers in image-guided intervention including ultrasound and other modalities." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092194.

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Nam, Woo Hyun, Dong-Goo Kang, Duhgoon Lee, and Jong Beom Ra. "Robust registration of 3-D ultrasound and CT images of the liver for image-guided intervention." In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2010. http://dx.doi.org/10.1109/isbi.2010.5490210.

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Masih, I. N., L. Tang, E. Gibson, R. Kelly, K. Elliott, and G. O'Hara. "Ultrasound-Guided Intervention and Rose (Rapid On-Site Evaluation) Confirmed Cancer Diagnosis Within 30 Minutes in a District General Hospital, Northern Ireland, UK." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4189.

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Belzberg, Micah Z., Francisco Chavez, Kah T. Xiong, Kyle Morrison, Nao J. Gamo, Stephen Restaino, Rajiv Iyer, et al. "Minimally invasive intraventricular ultrasound: design and instrumentation towards a miniaturized ultrasound-guided focused ultrasound probe." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2513150.

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