Relevant bibliographies by topics / Tissue volumetry

Academic literature on the topic 'Tissue volumetry'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Tissue volumetry"

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Chernina, V. Yu, N. S. Kulberg, O. O. Aleshina, T. A. Korb, I. A. Blokhin, S. P. Morozov, and V. A. Gombolevskiy. "Cardiac visceral fat volume estimation from low-dose chest computed tomography: a study with a designed beating heart phantom." Almanac of Clinical Medicine 49, no. 1 (March 30, 2021): 61–71. http://dx.doi.org/10.18786/2072-0505-2021-49-006.

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Background: Since 2017, a pilot project for lung cancer screening by chest low dose computed tomography (LDCT) has been implemented in Moscow. Patients to be included into the screening have risk factors for ischemic heart disease (IHD). The association between epicardial adipose tissue (EAT) volume and coronary artery atherosclerosis, IHD, and atrial fibrillation has been demonstrated previously.Aim: To demonstrate the feasibility of LDCTbased EAT volumetry using a dynamic (contracting) heart phantom.Materials and methods: The study was performed with the designed dynamic heart phantom and chest phantom in two stages. At stage I, two adipose tissue pieces were scanned inside and outside the chest phantom using CT and LDCT. At stage II, the dynamic heart phantom was scanned outside and inside the chest phantom. In addition, we scanned the heart phantom with a coronary calcium phantom. The contracting heart phantom was developed within three months. All scans of the phantom were performed within one day. We determined the adipose tissue thresholds in LDCT and the EAT volumetric error with both chest CT and LDCT. Measurements of the adipose tissue volumes were performed by the radiologist twice with semi-automatic software.Results: The results of stage I helped to identify optimal density thresholds for LDCT-based adipose tissue volumetry in lung cancer screening, ranging from -250 HU to -30 HU. The stage II results showed that for all heart phantom scanning variants, the average EAT volumetry error did not exceed 5%, except for the case of contracting heart phantom with added coronary calcium in a chest phantom with body mass index (BMI) 29 (-5.92%). Adding the coronary calcium phantom to the heart phantom in LDCT increased the error by an average of 4% in BMI 23 and BMI 29 chest phantoms.Conclusion: LDCT-based EAT volumetry with fat density threshold from -250 HU to -30 HU is feasible in lung cancer screening, including patients with coronary calcium. However, considering the phantom design, further patient studies, and correlation of EAT volumes between LDCT for lung cancer screening and сoronary CT angiography are required.
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Kellner, Elias, Marco Reisert, Valerij G. Kiselev, Christoph J. Maurer, Lena-Alexandra Beume, Horst Urbach, and Karl Egger. "Automated Infarct Core Volumetry Within the Hypoperfused Tissue." Journal of Computer Assisted Tomography 41, no. 4 (2017): 515–20. http://dx.doi.org/10.1097/rct.0000000000000570.

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Cavezzi, Attilio, Simone U. Urso, Stefania Paccasassi, Giovanni Mosti, Fausto Campana, and Roberto Colucci. "Bioimpedance spectroscopy and volumetry in the immediate/short-term monitoring of intensive complex decongestive treatment of lymphedema." Phlebology: The Journal of Venous Disease 35, no. 9 (July 6, 2020): 715–23. http://dx.doi.org/10.1177/0268355520938578.

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Aims To assess (a) immediate/short-term outcomes of intensive complex decongestive treatment of lower limb lymphedema, by means of bioimpedance spectroscopy and tape measurement-based volumetry, and (b) correlation between these two methods. Patients and methods Cohort study on patients affected by unilateral primary or secondary lymphedema, stage II or III. Patients underwent complex decongestive treatment (manual and electro-sound lymphatic drainage, compression bandage, exercises, low-carb nutrition, and dietary supplements) for six days. Before (D0), three and six days after complex decongestive treatment (D3 and D6), volumetry and bioimpedance spectroscopy data of the total limb and lower leg were collected. Statistical analysis was applied to pre–post treatment outcomes and to the volumetry/bioimpedance spectroscopy correlation. Results Forty-one patients (15 males and 26 females, mean age: 50.7 years) were included. A progressive improvement of volumetry and bioimpedance spectroscopy figures was recorded. Total limb and leg volumetry (mean value in cc) was, respectively, 11,072.9 and 3150.8 at D0, 10,493 (−5.2%, p = 0.001) and 2980.2 (−5.4%, p < 0.001) at D6. Total limb lymphatic index at D0 and D6 was 18.9 and 14.8 (−21.5%, p < 0.001). Total limb resistance at D0, D3, and D6 was 200.4, 225.7, and 237.5 (+18.5%, p < 0.001), respectively; leg resistance at D0 and D6 was 117.5 and 150 (+27.7%, p < 0.001), respectively. Total limb reactance at D0, D3, and D6 was 12.2, 15, and 16.6 (+35.5%, p < 0.001), respectively. Leg reactance at D0 and D6 was 7.7 and 11.5 (+ 49.6%, p < 0001), respectively. Correlation volumetry/bioimpedance spectroscopy data were (a) total limb volumetry/resistance rho = −0.449, p < 0.01; volumetry/reactance rho=−0.466, p < 0.01; volumetry/lymphatic index rho = 0.581, p < 0.01; (b) leg volumetry/resistance rho=−0.579, p < 0.01; volumetry/reactance rho=−0.469, p < 0.01; volumetry/lymphatic index rho = 0.466, p < 0.05. Conclusions Complex decongestive treatment on lymphedematous limbs was effective at short term; both volumetry and bioimpedance spectroscopy showed a statistically significant improvement. Resistance and reactance increase, with lymphatic index decrease, correlated with volumetry decrease. Bioimpedance spectroscopy proved to help to assess fluid decrease and the tissue-related parameters variations.
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Agartz, Ingrid, Gaku Okuguwa, Mikael Nordström, Dan Greitz, Vincent Magnotta, and Göran Sedvall. "Reliability and reproducibility of brain tissue volumetry from segmented MR scans." European Archives of Psychiatry and Clinical Neurosciences 251, no. 6 (December 2001): 255–61. http://dx.doi.org/10.1007/pl00007542.

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Agartz, Ingrid, Mikael Nordström, Gaku Okugawa, and Göran Sedvall. "Reliability and reproducibility of brain tissue segmentation and volumetry of MR scans." NeuroImage 13, no. 6 (June 2001): 1023. http://dx.doi.org/10.1016/s1053-8119(01)92358-4.

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Kloss, Christian U. A., Nora Thomassen, Gunther Fesl, K. Helge Martens, Tarek A. Yousri, and Gerhard F. Hamann. "Tissue-saving infarct volumetry using histochemistry validated by MRI in rat focal ischemia." Neurological Research 24, no. 7 (October 2002): 713–18. http://dx.doi.org/10.1179/016164102101200636.

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Walimuni, Indika S., Humaira Abid, and Khader M. Hasan. "A computational framework to quantify tissue microstructural integrity using conventional MRI macrostructural volumetry." Computers in Biology and Medicine 41, no. 12 (December 2011): 1073–81. http://dx.doi.org/10.1016/j.compbiomed.2010.10.009.

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Chernina, V. Y., M. E. Pisov, M. G. Belyaev, I. V. Bekk, K. A. Zamyatina, T. A. Korb, O. O. Aleshina, et al. "Epicardial fat Tissue Volumetry: Comparison of Semi-Automatic Measurement and the Machine Learning Algorithm." Kardiologiia 60, no. 9 (September 15, 2020): 46–54. http://dx.doi.org/10.18087/cardio.2020.9.n1111.

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Aim To compare assessments of epicardial adipose tissue (EAT) volumes obtained with a semi-automatic, physician-performed analysis and an automatic analysis using a machine-learning algorithm by data of low-dose (LDCT) and standard computed tomography (CT) of chest organs.Material and methods This analytical, retrospective, transversal study randomly included 100 patients from a database of a united radiological informational service (URIS). The patients underwent LDCT as a part of the project “Low-dose chest computed tomography as a screening method for detection of lung cancer and other diseases of chest organs” (n=50) and chest CT according to a standard protocol (n=50) in outpatient clinics of Moscow. Each image was read by two radiologists on a Syngo. via VB20 workstation. In addition, each image was evaluated with a developed machine-learning algorithm, which provides a completely automatic measurement of EAT.Results Comparison of EAT volumes obtained with chest LDCT and CT showed highly consistent results both for the expert-performed semi-automatic analyses (correlation coefficient >98 %) and between the expert layout and the machine-learning algorithm (correlation coefficient >95 %). Time of performing segmentation and volumetry on one image with the machine-learning algorithm was not longer than 40 sec, which was 30 times faster than the quantitative analysis performed by an expert and potentially facilitated quantification of the EAT volume in the clinical conditions.Conclusion The proposed method of automatic volumetry will expedite the analysis of EAT for predicting the risk of ischemic heart disease.
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Cascino, Gregory D. "Widespread Neuronal Dysfunction in Temporal Lobe Epilepsy." Epilepsy Currents 3, no. 1 (January 2003): 31–32. http://dx.doi.org/10.1111/j.1535-7597.2003.03113.x.

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Reduced Extrahippocampal NAA in Mesial Temporal Lobe Epilepsy Mueller SG, Suhy J, Laxer KD, Flenniken DL, Axelrad J, Capizzano AA, Weiner MW Epilepsia 2002;43(10):1210–1216 Purpose Structural and metabolic abnormalities in the hippocampal region in medial temporal lobe epilepsy (mTLE) are well described; less is known about extrahippocampal changes. This study was designed to characterize extrahippocampal metabolic abnormalities in mTLE with magnetic resonance spectroscopy in combination with tissue segmentation and volumetry of gray and white matter. Methods Multislice magnetic resonance spectroscopic imaging (1H-MRSI) in combination with tissue segmentation was performed on 16 patients with mTLE and 12 age-matched healthy volunteers. The data were analyzed by using a regression-analysis model that estimated the metabolite concentrations in 100% cortical gray and 100% white matter in the frontal lobe and nonfrontal brain. The segmented image was used to calculate the fraction of gray and white matter in these regions. Results mTLE had significantly lower N-acetyl aspartate (NAA) in ipsi- and contralateral frontal gray ( P = 0.03) and in ipsi- and contralateral nonfrontal white matter ( P = 0.008) compared with controls. Although there were no associated volumetric deficits in frontal gray and white matter, ipsilateral nonfrontal gray matter ( P = 0.003) was significantly smaller than that in controls. Conclusions mTLE is associated with extrahippocampal metabolic abnormalities and volumetric deficits, but these do not necessarily affect the same regions.
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Mojtahed, Amirkasra, Luis Núñez, John Connell, Alessandro Fichera, Rowan Nicholls, Angela Barone, Mariana Marieiro, et al. "Repeatability and reproducibility of deep-learning-based liver volume and Couinaud segment volume measurement tool." Abdominal Radiology 47, no. 1 (October 4, 2021): 143–51. http://dx.doi.org/10.1007/s00261-021-03262-x.

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Abstract Purpose Volumetric and health assessment of the liver is crucial to avoid poor post-operative outcomes following liver resection surgery. No current methods allow for concurrent and accurate measurement of both Couinaud segmental volumes for future liver remnant estimation and liver health using non-invasive imaging. In this study, we demonstrate the accuracy and precision of segmental volume measurements using new medical software, Hepatica™. Methods MRI scans from 48 volunteers from three previous studies were used in this analysis. Measurements obtained from Hepatica™ were compared with OsiriX. Time required per case with each software was also compared. The performance of technicians and experienced radiologists as well as the repeatability and reproducibility were compared using Bland–Altman plots and limits of agreement. Results High levels of agreement and lower inter-operator variability for liver volume measurements were shown between Hepatica™ and existing methods for liver volumetry (mean Dice score 0.947 ± 0.010). A high consistency between technicians and experienced radiologists using the device for volumetry was shown (± 3.5% of total liver volume) as well as low inter-observer and intra-observer variability. Tight limits of agreement were shown between repeated Couinaud segment volume (+ 3.4% of whole liver), segmental liver fibroinflammation and segmental liver fat measurements in the same participant on the same scanner and between different scanners. An underestimation of whole-liver volume was observed between three non-reference scanners. Conclusion Hepatica™ produces accurate and precise whole-liver and Couinaud segment volume and liver tissue characteristic measurements. Measurements are consistent between trained technicians and experienced radiologists. Graphic abstract
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Dissertations / Theses on the topic "Tissue volumetry"

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Cruz, Francisco (Francisco Ui). "Volumetric reconstruction of tissue structure from two-dimensional microscopy images." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/37051.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2006.
Includes bibliographical references (leaf 41).
Cell morphology of tissue is naturally three-dimensional. Most current methods for tissue analysis use two dimensional histological images of the tissue samples, restricting the analysis to 2D. Existing approaches do not provide essential three-dimensional information such as cell volume, shape and structural orientation of cells within the tissue. This thesis investigates a method to extract three dimensional data using two-dimensional microscopy. We demonstrate that three dimensional cell structure can be acquired using two dimensional fluorescence microscopy and two-photon microscopy and explore the application of the analysis to studies of cardiac tissue.
by Francisco Cruz.
M.Eng.
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Kilian, David, Tilman Ahlfeld, Ashwini Rahul Akkineni, Anja Lode, and Michael Gelinsky. "Three-dimensional bioprinting of volumetric tissues and organs." Cambridge University Press, 2017. https://tud.qucosa.de/id/qucosa%3A70757.

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Three-dimensional (3D) bioprinting has become a fast-developing research field in the last few years. Many different technical solutions are available, with extrusion-based printing being the most promising and versatile method. In addition, a variety of biomaterials are already available for 3D printing of live cells. The real challenge, however, remains bioprinting of macroscopic, volumetric constructs of well-defined structures since hydrogels used for cell-embedding must consist of rather soft materials. This article describes recent developments to overcome these limitations that prevent clinical applications of bioprinted human tissues. New approaches include technical solutions such as in situ cross-linking or gelation processes that now can be performed during the bioprinting process, modified bioinks that combine suitable viscosity and cytocompatible gelation mechanisms, and utilization of additional materials to provide mechanical strength to the cell-laden constructs.
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Jeuthe, Julius. "Automatic Tissue Segmentation of Volumetric CT Data of the Pelvic Region." Thesis, Linköpings universitet, Medicinsk informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133153.

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Automatic segmentation of human organs allows more accurate calculation of organ doses in radiationtreatment planning, as it adds prior information about the material composition of imaged tissues. For instance, the separation of tissues into bone, adipose tissue and remaining soft tissues allows to use tabulated material compositions of those tissues. This approximation is not perfect because of variability of tissue composition among patients, but is still better than no approximation at all. Another use for automated tissue segmentationis in model based iterative reconstruction algorithms. An example of such an algorithm is DIRA, which is developed at the Medical Radiation Physics and the Center for Medical Imaging Science and Visualization(CMIV) at Linköpings University. DIRA uses dual-energy computed tomography (DECT) data to decompose patient tissues into two or three base components. So far DIRA has used the MK2014 algorithm which segments human pelvis into bones, adipose tissue, gluteus maximus muscles and the prostate. One problem was that MK2014 was limited to 2D and it was not very robust. Aim: The aim of this thesis work was to extend the MK2014 to 3D as well as to improve it. The task was structured to the following activities: selection of suitable segmentation algorithms, evaluation of their results and combining of those to an automated segmentation algorithm. Of special interest was image registration usingthe Morphon. Methods: Several different algorithms were tested.  For instance: Otsu's method followed by threshold segmentation; histogram matching followed by threshold segmentation, region growing and hole-filling; affine phase-based registration and the Morphon. The best-performing algorithms were combined into the newly developed JJ2016. Results: For the segmentation of adipose tissue and the bones in the eight investigated data sets, the JJ2016 algorithm gave better results than the MK2014. The better results of the JJ2016 were achieved by: (i) a new segmentation algorithm for adipose tissue which was not affected by the amount of air surrounding the patient and segmented smaller regions of adipose tissue and (ii) a new filling algorithm for connecting segments of compact bone. The JJ2016 algorithm also estimates a likely position for the prostate and the rectum by combining linear and non-linear phase-based registration for atlas based segmentation. The estimated position (center point) was in most cases close to the true position of the organs. Several deficiencies of the MK2014 algorithm were removed but the improved version (MK2014v2) did not perform as well as the JJ2016. Conclusions: JJ2016 performed well for all data sets. The JJ2016 algorithm is usable for the intended application, but is (without further improvements) too slow for interactive usage. Additionally, a validation of the algorithm for clinical use should be performed on a larger number of data sets, covering the variability of patients in shape and size.
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Turnbull, Lindsay W. "Volumetric analysis and tissue characterisation of cardiac disease by magnetic resonance imaging." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/20256.

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Magnetic resonance imaging (MRI) offers the unique ability to examine the heart in three dimensions and to provide tissue characterisation. This thesis aims to investigate two areas of particular interest, namely the quantification of cor pulmonale and acute myocardial infarction. The methods currently available for assessing right ventricular hypertrophy and dilatation are discussed, with particular reference to patients with chronic obstructive pulmonary disease. The results of pulmonary haemodynamic and blood gas data are compared with the results from cardiac gated MRI. A good correlation is obtained between the mean and systolic pulmonary artery pressures, the pulmonary vascular resistance and the right ventricular wall volume measured by MRI. This technique is subsequently used in a small group of patients, to determine the response to long term oxygen therapy. The various techniques employed to assess the size of myocardial infarcts are discussed, and the previous literature on the ability of MRI to detect infarction is reviewed. A new technique, which is supported by phantom experiments, is described to measure the volume of infarcted myocardium using saturation recovery - inversion recovery and spin-echo images. The T1 images are compared with radionuclide pyrophosphate scanning and serum creatine kinase-MB release and a satisfactory agreement obtained. Myocardial infarct size measured by both pulse sequences is compared directly. The spin-echo technique is used to assess alterations in myocardial infarct size with time and the response to various therapeutic options is compared. In conclusion the limitations of both techniques are discussed and future developments proposed.
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papangelou, christopher G. "Material properties and volumetric porosity of biomaterials for use in hard tissue replacement." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001240.

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Clark, Andrew. "Tissue Nanotransfection Strategies for the Treatment of Diabetic Neuropathy and Volumetric Muscle Loss." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu158956655881658.

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Papangelou, Christopher G. "Material Properties and Volumetric Porosity of Biomaterials for Use in Hard Tissue Replacement." Scholar Commons, 2005. https://scholarcommons.usf.edu/etd/808.

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Metal implants are a type of hard tissue replacement currently used. Metals used for implants include: stainless steel, titanium, chrome, and cobalt alloys. Such implants often fail at the interface with bone. Metal implants fail when the surface of the implant is coated with an osteoconductive material. An osteoconductive material provides scaffolding for cellular migration, cellular attachment, and cellular distribution. A reason for metal implant failure could be the vastly different material properties than bone. Motivation for the research was to find a suitable bone substitute other than metal. Materials considered were: zirconia toughened alumina, carbon fiber reinforced epoxy, and glass fiber reinforced epoxy. Those materials have been used in previous biological applications and can be cast into complex configurations. Objectives of the study were to compare material properties of the composites to bone. A method to create porosity was then tested in the material that was similar to bone in critical material property. Some of the materials were statistically similar to bone in yield strength. Method to create interconnected porosity in those materials resulted in 49% void space.
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Armstrong, Michelle Hine, Tepole Adrián Buganza, Ellen Kuhl, Bruce R. Simon, and Geest Jonathan P. Vande. "A Finite Element Model for Mixed Porohyperelasticity with Transport, Swelling, and Growth." Public Library of Science, 2016. http://hdl.handle.net/10150/614631.

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The purpose of this manuscript is to establish a unified theory of porohyperelasticity with transport and growth and to demonstrate the capability of this theory using a finite element model developed in MATLAB. We combine the theories of volumetric growth and mixed porohyperelasticity with transport and swelling (MPHETS) to derive a new method that models growth of biological soft tissues. The conservation equations and constitutive equations are developed for both solid-only growth and solid/fluid growth. An axisymmetric finite element framework is introduced for the new theory of growing MPHETS (GMPHETS). To illustrate the capabilities of this model, several example finite element test problems are considered using model geometry and material parameters based on experimental data from a porcine coronary artery. Multiple growth laws are considered, including time-driven, concentrationdriven, and stress-driven growth. Time-driven growth is compared against an exact analytical solution to validate the model. For concentration-dependent growth, changing the diffusivity (representing a change in drug) fundamentally changes growth behavior. We further demonstrate that for stress-dependent, solid-only growth of an artery, growth of an MPHETS model results in a more uniform hoop stress than growth in a hyperelastic model for the same amount of growth time using the same growth law. This may have implications in the context of developing residual stresses in soft tissues under intraluminal pressure. To our knowledge, this manuscript provides the first full description of an MPHETS model with growth. The developed computational framework can be used in concert with novel in-vitro and in-vivo experimental approaches to identify the governing growth laws for various soft tissues.
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Madden, Marie Catherine. "A non-clinical method to simultaneously estimate thermal conductivity, volumetric specific heat, and perfusion of in-vivo tissue." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/34799.

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Many medical therapies, such as thermal tumor detection and hypothermia cancer treatments, utilize heat transfer mechanisms of the body. The focus of this work is the development and experimental validation of a method to simultaneously estimate thermal conductivity, volumetric specific heat, and perfusion of in-vivo tissue. The heat transfer through the tissue was modeled using a modified Pennes' equation. Using a least-squares parameter estimation method with regularization, the thermal properties could be estimated from the temperature response to the known applied heat flux. The method was tested experimentally using a new agar-water tissue phantom designed for this purpose. A total of 40 tests were performed. The results of the experiments show that conductivity can be successfully estimated for perfused tissue phantoms. The values returned for volumetric specific heat are lower than expected, while the estimated values of perfusion are far greater than expected. It is believed that the mathematical model is incorrectly accounting between these two terms. Both terms were treated as heat sinks, so it is conceivable that it is not discriminating between them correctly. Although the method can estimate all three parameters simultaneously, but it seems that the mathematical model is not accurately describing the system. In the future, improvements to the model could be made to allow the method to function accurately.
Master of Science
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Kaipala, J. (Jukka). "Automatic segmentation of bone tissue from computed tomography using a volumetric local binary patterns based method." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201802101221.

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Segmentation of scanned tissue volumes of three-dimensional (3D) computed tomography (CT) images often involves—at least partially—some manual process, as there is no standardized automatic method. There is a need to develop fully automatic approaches, not only to improve the objectivity of the task, but also to increase the overall speed of the segmentation process. Here we extend a 3D local binary patterns (LBP) based trabecular bone segmentation method with adaptive local thresholding and additional segmentation parameters to make it more robust yet still perform adequately when compared to traditional user-assisted segmentation. We estimate parameters for the new automated adaptive multiscale LBP-based 3D segmentation method (AMLM) in our experimental setting, and have two micro-CT (μCT) scanned bovine trabecular bone tissue volumes segmented by both the AMLM and two experienced users. Comparison of the results shows superior performance of the AMLM suggesting the strong potential for this solution to perform automatic bone segmentation
Skannattujen kudosrakenteiden segmentointi kolmiulotteisista (3D) tomografiakuvista tehdään usein ainakin osittain manuaalisesti, sillä standardoitua automaattista menetelmää ei ole. Täysin automatisoitujen lähestymistapojen kehitys on tarpeen, sillä se parantaisi sekä segmentoinnin objektiivisuutta että sen kokonaisnopeutta. Tässä työssä laajennamme automatisoitua local binary patterns (LBP) -perustaista trabekulaarisen luun 3D-segmentointimenetelmää adaptiivisella paikallisella kynnystyksellä ja segmentoinnin lisäparametreilla tavoitteenamme vahvistaa menetelmää mutta säilyttää silti riittävä suorituskyky verrattuna perinteiseen käyttäjäavusteiseen segmentointiin. Arvioimme koejärjestelyssämme parametrit uudelle automatisoidulle adaptiiviselle moniasteikkoiselle LBP-pohjaiselle 3Dsegmentointimenetelmälle (AMLM), ja teetämme sekä AMLM:n avulla että kahden kokeneen käyttäjän toimesta binäärisegmentoinnit kahdelle mikrotietokonetomografialla (μTT) tuotetulle kuvalle naudan trabekulaarisesta luukudoksesta. Tulosten vertailu osoittaa AMLM:n suorituskyvyltään selkeästi paremmaksi, mikä antaa vahvan viitteen tämän menetelmän soveltuvuudesta automatisoituun luusegmentointiin
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Books on the topic "Tissue volumetry"

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Sadick, Neil S. Illustrated manual of injectable fillers: A technical guide to the volumetric approach to whole body rejuvenation. New York: Informa Healthcare, 2011.

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Reliability and objectivity of the volumetric technique for determining body density. 1986.

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Reliability and objectivity of the volumetric technique for determining body density. 1986.

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Reliability and objectivity of the volumetric technique for determining body density. 1986.

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Carniol, Paul J., Neil S. Sadick, Deborshi Roy, and Luitgard Wiest. Illustrated Manual of Injectable Fillers: A Technical Guide to the Volumetric Approach to Whole Body Rejuvenation. Taylor & Francis Group, 2011.

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Carniol, Paul J., Neil S. Sadick, Deborshi Roy, and Luitgard Wiest. Illustrated Manual of Injectable Fillers: A Technical Guide to the Volumetric Approach to Whole Body Rejuvenation. Taylor & Francis Group, 2011.

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Badano, Luigi P., and Denisa Muraru. Assessment of right heart function and haemodynamics. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0011.

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Assessment of right ventricular (RV) size, function, and haemodynamics has been challenging because of its unique cavity geometry. Conventional two-dimensional assessment of RV function is often qualitative. Doppler methods involving tricuspid inflow and pulmonary artery flow velocities, which are influenced by changes in pre- and afterload conditions, may not provide robust prognostic information for clinical decision making. Recent advances in echocardiographic assessment of the RV include tissue Doppler imaging, speckle-tracking imaging, and volumetric three-dimensional imaging, but they need specific training, expensive dedicated equipment, and extensive clinical validation. However, assessment of RV function is crucial, especially in patients with signs of right-sided failure and those with congenital or mitral valve diseases. This chapter aims to address the role of the various echocardiographic modalities used to assess RV and pulmonary vascular bed function. Special emphasis has been placed on technical considerations, limitations, and pitfalls of image acquisition and analysis.
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Arulkumaran, Nishkantha, and Maurizio Cecconi. Cardiac output assessment in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0136.

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Haemodynamic monitoring facilitates effective resuscitation and the rapid assessment of the response to time-dependent vasoactive and fluid therapyin different shock states. Since the introduction of the pulmonary artery catheter, several minimally and non-invasive CO monitoring devices have been introduced to provide continuous monitoring and a dynamic profile of fluid responsiveness. Several of these monitors provide additional haemodynamic parameters including dynamic indices of preload and volumetric indices. Patient outcome is dependent accurate acquisition and interpretation of data and subsequent management. Whilst data from CO monitors offer valuable information on global hamodynamics, they do not preclude tissue hypoperfusion. Furthermore, there is no ‘ideal’ CO value for an individual patient, and the trend in haemodynamic parameters in response to therapy may be more informative than the absolute values. CO monitoring should be based upon the patient’s needs, the clinical scenario, and the experience of the treating physician.
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van den Bosch, Annemien E., Luigi P. Badano, and Julia Grapsa. Right ventricle and pulmonary arterial pressure. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0023.

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Right ventricular (RV) performance plays an important role in the morbidity and mortality of patients with left ventricular dysfunction, congenital heart disease, and pulmonary hypertension. Assessment of RV size, function, and haemodynamics has been challenging because of its complex geometry. Conventional two-dimensional echocardiography is the modality of choice for assessment of RV function in clinical practice. Recent developments in echocardiography have provided several new techniques for assessment of RV dimensions and function, include tissue Doppler imaging, speckle-tracking imaging, and volumetric three-dimensional imaging. However, specific training, expensive dedicated equipment, and extensive clinical validation are still required. Doppler methods interrogating tricuspid inflow and pulmonary artery flow velocities, which are influenced by changes in pre- and afterload conditions, may not provide robust prognostic information for clinical decision-making. This chapter addresses the role of the various echocardiographic modalities used to assess the RV and pulmonary circulation. Special emphasis has been placed on technical considerations, limitations, and pitfalls of image acquisition and analysis.
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Book chapters on the topic "Tissue volumetry"

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Gloger, Oliver, Klaus Toennies, and Jens-Peter Kuehn. "Fully Automatic Liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets." In Image Analysis, 512–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21227-7_48.

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Herold, Christian. "Volumetric Documentation." In Autologous fat tissue transfer, 155–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05402-1_19.

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Zonneveld, F. W., L. Koornneef, and D. Wittebol-Post. "Quantitative Volumetric Assessment of Orbital Soft Tissue." In Computer Assisted Radiology / Computergestützte Radiologie, 181–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-00807-2_30.

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Ben-Shabat, Yizhak, and Anath Fischer. "Adaptive Multi-resolution Volumetric Modeling of Bone Micro-structure." In New Developments in Tissue Engineering and Regeneration, 31–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15372-4_3.

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Nakao, Megumi, Tomohiro Kuroda, Hiroshi Oyama, Masaru Komori, Tetsuya Matsuda, and Takashi Takahashi. "Combining Volumetric Soft Tissue Cuts for Interventional Surgery Simulation." In Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002, 178–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45787-9_23.

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Hartman, Keith, Ralph Highnam, Ruth Warren, and Valerie Jackson. "Volumetric Assessment of Breast Tissue Composition from FFDM Images." In Digital Mammography, 33–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70538-3_5.

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Pinsky, Peter M., and Xi Cheng. "A Constitutive Model for Swelling Pressure and Volumetric Behavior of Highly-Hydrated Connective Tissue." In Multiscale Soft Tissue Mechanics and Mechanobiology, 145–70. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1220-8_8.

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Holland, Katharina, Michiel Kallenberg, Ritse Mann, Carla van Gils, and Nico Karssemeijer. "Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms." In Breast Imaging, 239–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_34.

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van Haasterecht, L., Paul P. M. van Zuijlen, and ML Groot. "Structural Assessment of Scars Using Optical Techniques." In Textbook on Scar Management, 169–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44766-3_19.

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AbstractThe evaluation of scar treatment benefits from exact structural measurements. Accurate assessment of thickness, surface area, and relief is crucial in routine clinical follow-up. From an experimental perspective, precise visualization of the microstructural organization is necessary for a better understanding of the mechanisms underlying pathological scarring. Structural proteins in scars differ from healthy skin in terms of amount, type, and importantly, organization. The precise quantification of this extracellular matrix (ECM) organization was, until recently, limited to two-dimensional images from fixated and stained tissue. Advances in optical techniques now allow high-resolution imaging of these structures, in some cases in vivo. The enormous potential of these techniques as objective assessment tools is illustrated by a substantial increase in available devices. This chapter describes currently used devices and techniques used in the clinical follow-up of scar progression from a volumetric standpoint. Furthermore, some of the most powerful techniques for microstructural research are described including optical coherence tomography, nonlinear optical techniques such as second harmonic generation microscopy, and confocal microscopy.
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Paloc, Celine, Fernando Bello, Richard I. Kitney, and Ara Darzi. "Online Multiresolution Volumetric Mass Spring Model for Real Time Soft Tissue Deformation." In Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002, 219–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45787-9_28.

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Conference papers on the topic "Tissue volumetry"

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Kranzbühler, Benedikt, Oliver Gross, Christian D. Fankhauser, Lukas J. Hefermehl, Cédric Poyet, Remo Largo, Michael Müntener, et al. "Tissue ablation after 120W greenlight laser vaporization and bipolar plasma vaporization of the prostate: a comparison using transrectal three-dimensional ultrasound volumetry." In SPIE BiOS. SPIE, 2012. http://dx.doi.org/10.1117/12.909294.

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Vaughan, Neil, Venketesh N. Dubey, Michael Y. K. Wee, and Richard Isaacs. "Heterogeneous Tissue Layer Deformation With Haptic Feedback." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13082.

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A volumetric graphics model of deformable human tissue with layers of varying stiffness was developed. The model uses spring-mass-damper to calculate haptic force feedback from various layers of tissue. A haptic epidural needle insertion simulation is developed with real-time tissue deformation when external forces are exerted. Voxelization is used to fill surface meshes with grids of spring-mass-damper assemblies. The modeled tissues include all the layers traversed during an epidural procedure, including skin, subcutaneous fat, Supraspinous and interspinous ligaments, ligamentum flavum and the epidural space. Tissue is modeled with volumetric information describing the stiffness and density of each layer. Spring-mass-damper modeling enables the calculation of compression and extension of springs between tissue masses, to simulate tissue stretching and relaxation movement. A haptic force feedback device is used to interact with the tissue model with a virtual needle. The resulting simulation gives a different feeling for each tissue layer. The haptic device allows the user to insert a needle though the modeled tissue layers feeling the various physical properties of each tissue layer during needle insertion. Tissues can be viewed in cross-section to see the progress and depth of the needle. Force feedback graphs were produced to compare the force from the operator’s thumb to the resultant force feedback from the device.
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Kulick, Jeffrey H., Stephen A. Benton, M. Halle, and M. Klug. "Volumetric Display Of Soft Tissue Via Holography." In Medical Imaging II, edited by Roger H. Schneider and Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968775.

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Schwarz, Ariel, Nisan Ozana, Amir Semer, Ran Califa, Hadar Genish, and Zeev Zalevsky. "Photonic non-contact tomographic & volumetric tissue probing." In Optical Tomography and Spectroscopy. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ots.2020.sm3d.1.

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LeBrun, A., N. Conn, A. Attaluri, N. Manuchehrabadi, Z. Huang, R. Ma, and L. Zhu. "Quantification of MicroCT Image Intensity and Nanoparticle Concentration in Agarose Gel." In ASME 2012 Third International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/mnhmt2012-75025.

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In recent years, magnetic nanoparticle hyperthermia has attracted a lot of attentions in cancer treatment due to its ability to confine heat within the tumor with minimal collateral thermal damage to the surrounding healthy tissue.1–4 The success of the treatment using magnetic nanoparticles depends on careful planning of the heating duration and achieved temperature elevations. It has been demonstrated by previous research that the generated volumetric heat generation rate or Specific Absorption Rate (SAR) should be proportional to the nanoparticle concentration distribution in the tumors. The difficulty encountered by bioengineers is that the nanoparticle concentration distribution is often unknown, since the tissue is opaque. Recently, high-resolution microCT imaging technique has been used to visualize magnetic nanoparticle distribution in tumors. MicroCT has been shown to generate detailed 3-D density variations induced by nanoparticle depositions in both tissue-equivalent gels and tumor tissues.5–6 However, experimental studies are still needed to quantify the relationship between the microCT pixel index number shown in the scanned images and the actual nanoparticle concentrations.
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Mahmoodian, Roza, Sorin Siegler, and Franco Capaldi. "Development of a Finite Element Model Framework for Studying Growth of Cartilage Anlage." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206851.

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Growth and remodeling are fundamental processes in the development of tissues in normal and pathological conditions. Mechanical quantities such as stress, strain or strain energy in the tissue can modulate its growth and remodeling; however, it is not clear yet which mechanical quantity takes this role. Experimental data can be found to support both. Furthermore, the driving-mechanism may be tissue-dependent and therefore, a universal growth law may not exist [7,8]. This field has been an important research topic in biomechanics over the recent decades. The review articles by Humphrey [4] and Taber [8] contain numerous related references. An important contribution was made by Rodriguez et al. [7] to the area of volumetric growth of soft elastic tissue which allowed for the coupling between stress and finite growth through multiplicative decomposition of the deformation gradient into elastic and growth parts. This theory has been followed in our study. Our goal is to model growth of the hind foot cartilage anlagen in newborn infants, and explore effect of congenital anomalies on the otherwise normal development.
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Clement, Gregory T., and Harriet J. Paltiel. "Contrast-enhanced, real-time volumetric imaging of tissue perfusion." In 2010 IEEE Ultrasonics Symposium (IUS). IEEE, 2010. http://dx.doi.org/10.1109/ultsym.2010.5935972.

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Feiglin, David H., Andrzej Krol, George M. Gagne, Bradford J. Hellwig, and Frank D. Thomas. "New method for volumetric estimation of functioning thyroid tissue." In Medical Imaging 2000, edited by Chin-Tu Chen and Anne V. Clough. SPIE, 2000. http://dx.doi.org/10.1117/12.383434.

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Ricketts, Patricia L., Ashvinikumar V. Mudaliar, Brent E. Ellis, Thomas E. Diller, Elaine P. Scott, and Otto I. Lanz. "Noninvasive Blood Perfusion Measurement on the Liver of an Anesthetized Rat." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-176538.

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Blood perfusion is the local, non-directional blood flow through living tissue. It is measured as the volumetric flow rate of blood per volume of tissue and a large range of perfusion values have been reported for human tissue (i.e. 0.002–0.5 ml/ml/s). This large range is thought to be due to measurement sensitivity, environmental factors, and tissue type and location.
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Ban, Sungbea, Nam Hyun Cho, Yongjae Ryu, Sunwoo Jung, Andrey Vavilin, Eunjung Min, and Woonggyu Jung. "Multi-scale volumetric cell and tissue imaging based on optical projection tomography (Conference Presentation)." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. SPIE, 2016. http://dx.doi.org/10.1117/12.2212792.

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Reports on the topic "Tissue volumetry"

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Steegman, Ralph, Anne-Marie Renkema, Herman Verbeek, Adriaan Schoeman, Anne Marie Kuijpers-Jagtman, and Yijin Ren. Upper Airway Volumetric Changes on CBCT after Orthodontic Interventions: protocol for a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0017.

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Review question / Objective: Does the volume of the upper airway change after an orthodontic intervention? P: growing subjects, adults; I: orthodontic treatment, dentofacial orthopedics, extractions; C: untreated subjects and/or non-extractions; O: volumetric changes of the upper airway measured on CBCT scans. Condition being studied: The primary objective of orthodontic treatment is to establish optimal dental and/or skeletal relationship in harmony with the soft tissue morphology and functioning. In addition, un-impeding or facilitating airway growth and development is an important objective, especially in patients susceptible for airway obstruction or sleep apnea. It is therefore important to look into the effect of various orthodontic treatments on the 3D volumetric changes of the upper airway. Compared with the use of traditional 2D lateral cephalograms, CBCT scans provide the opportunity to perform measurements in more dimensions on the airway with demonstrated reliability. This systematic review therefore includes studies using CBCT scans for evaluation of the airway.
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