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1

Studholme, Colin. "Measures of 3D medical image alignment." Thesis, King's College London (University of London), 1997. https://kclpure.kcl.ac.uk/portal/en/theses/measures-of-3d-medical-image-alignment(7e3dd0a9-6dc2-4ff0-8b9f-8fd513728ffb).html.

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2

Dorgham, Osama. "High speed 2D/3D medical image registration." Thesis, University of East Anglia, 2010. https://ueaeprints.uea.ac.uk/32227/.

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3

Afandi, Ahmad. "Efficient reconfigurable architectures for 3D medical image compression." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/7677.

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Recently, the more widespread use of three-dimensional (3-D) imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasound (US) have generated a massive amount of volumetric data. These have provided an impetus to the development of other applications, in particular telemedicine and teleradiology. In these fields, medical image compression is important since both efficient storage and transmission of data through high-bandwidth digital communication lines are of crucial importance. Despite their advantages, most 3-D m
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4

Adolfsson, Karin. "Visual Evaluation of 3D Image Enhancement." Thesis, Linköping University, Department of Biomedical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7944.

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<p>Technologies in image acquisition have developed and often provide image volumes in more than two dimensions. Computer tomography and magnet resonance imaging provide image volumes in three spatial dimensions. The image enhancement methods have developed as well and in this thesis work 3D image enhancement with filter networks is evaluated.</p><p>The aims of this work are; to find a method which makes the initial parameter settings in the 3D image enhancement processing easier, to compare 2D and 3D processed image volumes visualized with different visualization techniques and to give an ill
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5

Quartararo, John David. "Semi-Automated Segmentation of 3D Medical Ultrasound Images." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/155.

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A level set-based segmentation procedure has been implemented to identify target object boundaries from 3D medical ultrasound images. Several test images (simulated, scanned phantoms, clinical) were subjected to various preprocessing methods and segmented. Two metrics of segmentation accuracy were used to compare the segmentation results to ground truth models and determine which preprocessing methods resulted in the best segmentations. It was found that by using an anisotropic diffusion filtering method to reduce speckle type noise with a 3D active contour segmentation routine using the leve
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6

Estienne, Théo. "Deep learning-based methods for 3D medical image registration." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG055.

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Cette thèse se concentre sur des nouvelles approches d'apprentissage profond (aussi appelé deep learning) pour trouver le meilleur déplacement entre deux images médicales différentes. Ce domaine de recherche, appelé recalage d'images, a de nombreuses applications dans la prise en charge clinique, notamment la fusion de différents types d'imagerie ou le suivi temporel d'un patient. Ce domaine est étudié depuis de nombreuses années avec diverses méthodes, telles que les méthodes basées sur des difféomorphismes, sur des graphes ou sur des équations physiques. Récemment, des méthodes basées sur l'
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ZHANG, KEJUN. "3D MEDICAL IMAGE APPLICATIONS OF A 2D CONSTRAINED DEFORMABLE CONTOUR METHOD." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1092408492.

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8

Al, Zu'bi Shadi Mahmoud. "3D multiresolution statistical approaches for accelerated medical image and volume segmentation." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5300.

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Medical volume segmentation got the attraction of many researchers; therefore, many techniques have been implemented in terms of medical imaging including segmentations and other imaging processes. This research focuses on an implementation of segmentation system which uses several techniques together or on their own to segment medical volumes, the system takes a stack of 2D slices or a full 3D volumes acquired from medical scanners as a data input. Two main approaches have been implemented in this research for segmenting medical volume which are multi-resolution analysis and statistical model
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9

Grandi, Jerônimo Gustavo. "Multidimensional similarity search for 2D-3D medical data correlation and fusion." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/104133.

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Imagens da anatomia interna são essenciais para as práticas médicas. Estabelecer correlação entre elas, é um importante procedimento para diagnóstico e tratamento. Nessa dissertação, é proposta uma abordagem para correlacionar dados multidimensionais de mesma modalidade de aquisição baseando-se somente nas informações de intensidade de pixels e voxels. O trabalho foi dividido em duas fases de implementação. Na primeira, foi explorado o problema de similaridade entre imagens médicas usando a perspectiva de análise de qualidade de imagem. Isso levou ao desenvolvimento de uma técnica de dois pass
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Poon, Miranda. "3D livewire and live-vessel : minimal path methods for interactive medical image segmentation." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2736.

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Medical image analysis is a ubiquitous and essential part of modem health care. A crucial first step to this is segmentation, which is often complicated by many factors including subject diversity, pathology, noise corruption, and poor image resolution. Traditionally, manual tracing by experts was done. While considered accurate, this process is time consuming and tedious, especially when performed slice-by-slice on three-dimensional (3D) images over large datasets or on two-dimensional (2D) but topologically complicated images such as a retinography. On the other hand, fully-automated methods
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11

Forbes, Jessica LeeAnn. "Development and verification of medical image analysis tools within the 3D slicer environment." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/3085.

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Rapid development of domain specialized medical imaging tools is essential for deploying medical imaging technologies to advance clinical research and clinical practice. This work describes the development process, deployment method, and evaluation of modules constructed within the 3D Slicer environment. These tools address critical problems encountered in four different clinical domains: quality control review of large repositories of medical images, rule-based automated label map cleaning, quantification of calcification in the heart using low-dose radiation scanning, and waist circumference
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Sjöblom, Erik. "Compression of Medical Image Stacks using Wavelets and Zero-Tree Coding." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1048.

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<p>The use of computers for handling image data in the healthcare is growing. The amount of data produced by modern image generating techniques, such as CT and MR, is vast. The amount of data might be a problem from a storage point of view or when the data is sent over a network. To overcome these problems data compression techniques adapted to these applications are needed. There are an abundant number of compression schemes for the compression of images, but few that are geared towards compression of image stacks. Though these 2D techniques can be applied to the image stacks they do not full
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Joos, Louis. "Deformable 3D Brain MRI Registration with Deep Learning." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262852.

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Traditional deformable registration methods have achieved impressive performances but are computationally time-consuming since they have to optimize an objective function for each new pair of images. Very recently some learning-based approaches have been proposed to enable fast registration by learning to estimate the spatial transformation parameters directly from the input images. Here we present a method for 3D fast pairwise registration of brain MR images. We model the deformation function with B-splines and learn the optimal control points using a U-Net like CNN architecture. An inverse-c
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Pereañez, Marco. "Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/441754.

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This thesis presents three original and complementary approaches to enhance the quality of Statistical Shape Models (SSMs), that improve the accuracy of medical image segmentation in challenging applications. First, we enhance the statistical richness of SSMs by developing a technique capable of merging the shape representations and statistical properties of several pre-existing models with no original or additional raw data. Second, we enhance the geometrical quality of SSMs by developing a framework for modeling simultaneously both global and local characteristics of highly complex and
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Nazib, Abdullah. "Deep learning for registration of high-resolution 3D brain images." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204293/1/Abdullah_Nazib_Thesis.pdf.

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This thesis is a comprehensive study, evaluation and experimentation of image registration tools for high-resolution tissue-cleared images. Tissue Clearing allows 3D imaging of whole brains at the single cell resolution. The thesis examines conventional image registration tools and identifies their limited ability to handle such samples. Based on these findings, the thesis dedicates its investigation on more efficient and accurate algorithm development for the registration of tissue-cleared 3D images. A number of deep-learning based methods are tested and shown to be very efficient compared to
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Usta, Fatma. "Image Processing Methods for Myocardial Scar Analysis from 3D Late-Gadolinium Enhanced Cardiac Magnetic Resonance Images." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37920.

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Myocardial scar, a non-viable tissue which occurs on the myocardium due to the insufficient blood supply to the heart muscle, is one of the leading causes of life-threatening heart disorders, including arrhythmias. Analysis of myocardial scar is important for predicting the risk of arrhythmia and locations of re-entrant circuits in patients’ hearts. For applications, such as computational modeling of cardiac electrophysiology aimed at stratifying patient risk for post-infarction arrhythmias, reconstruction of the intact geometry of scar is required. Currently, 2D multi-slice late gadolinium-e
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17

Qu, An. "CUDA Accelerated 3D Non-rigid Diffeomorphic Registration." Thesis, KTH, Skolan för teknik och hälsa (STH), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211135.

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Advances of magnetic resonance imaging (MRI) techniques enable visualguidance to identify the anatomical target of interest during the image guidedintervention(IGI). Non-rigid image registration is one of the crucial techniques,aligning the target tissue with the MRI preoperative image volumes. As thegrowing demand for the real-time interaction in IGI, time used for intraoperativeregistration is increasingly important. This work implements 3D diffeomorphicdemons algorithm on Nvidia GeForce GTX 1070 GPU in C++ based on CUDA8.0.61 programming environment, using which the average registration tim
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18

Yang, Mu. "RadPaint a Web-based interactive 3D virtual radiation field application /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001198.

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19

Law, Kwok-wai Albert, and 羅國偉. "3D reconstruction of coronary artery and brain tumor from 2D medical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31245572.

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20

Prabhu, David. "Automated Plaque Characterization of Intravascular Optical Coherence Tomography (IVOCT) Images Using 3D Cryo-image/Histology Validation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1556293860943414.

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21

Nysjö, Johan. "Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications." Doctoral thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301180.

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Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. Two key challenges are to accurately separate (segment) bone structures or cavities of interest from the rest of the image and to interact with the 3D data in an efficient way. This thesis presents efficient a
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Yaqub, Mohammad. "Automatic measurements of femoral characteristics using 3D ultrasound images in utero." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:857a12d2-ffe3-4fa6-89c3-0d8319ee2fbb.

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Vitamin D is very important for endochondral ossification and it is commonly insufficient during pregnancy (Javaid et al., 2006). Insufficiency of vitamin D during pregnancy predicts bone mass and hence predicts adult osteoporosis (Javaid et al., 2006). The relationship between maternal vitamin D and manually measured fetal biometry has been studied (Mahon et al., 2009). However, manual fetal biometry especially volumetric measurements are subjective, time-consuming and possibly irreproducible. Computerised measurements can overcome or at least reduce such problems. This thesis concerns the de
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Skounakis, Emmanouil D. "Development of advanced 3D medical analysis tools for clinical training, diagnosis and treatment." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7967.

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The objective of this PhD research was the development of novel 3D interactive medical platforms for medical image analysis, simulation and visualisation, with a focus on oncology images to support clinicians in managing the increasing amount of data provided by several medical image modalities. DoctorEye and Automatic Tumour Detector platforms were developed through constant interaction and feedback from expert clinicians, integrating a number of innovations in algorithms and methods, concerning image handling, segmentation, annotation, visualisation and plug-in technologies. DoctorEye is alr
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Norajitra, Tobias [Verfasser], and R. [Akademischer Betreuer] Dillmann. "Robust and Independent 3D Statistical Shape Models for Medical Image Segmentation / Tobias Norajitra ; Betreuer: R. Dillmann." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1174252049/34.

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Fan, Li. "3D reconstruction and deformation analysis from medical image sequences with applications in left ventricle and lung /." free to MU campus, to others for purchase, 2000. http://wwwlib.umi.com/cr/mo/fullcit?p9999280.

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Chykeyuk, Kiryl. "Analysis of 3D echocardiography." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:823cd243-5d48-4ecc-90e7-f56d49145be8.

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Heart disease is the major cause of death in the developed world. Due to its fast, portable, low-cost and harmless way of imaging the heart, echocardiography has become the most frequent tool for diagnosis of cardiac function in clinical routine. However, visual assessment of heart function from echocardiography is challenging, highly operatordependant and is subject to intra- and inter observer errors. Therefore, development of automated methods for echocardiography analysis is important towards accurate assessment of cardiac function. In this thesis we develop new ways to model echocardiogra
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Kadia, Dhaval Dilip. "Advanced UNet for 3D Lung Segmentation and Applications." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619440426233034.

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Kéchichian, Razmig. "Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00967381.

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We develop a generic Graph Cut-based semiautomatic multiobject image segmentation method principally for use in routine medical applications ranging from tasks involving few objects in 2D images to fairly complex near whole-body 3D image segmentation. The flexible formulation of the method allows its straightforward adaption to a given application.\linebreak In particular, the graph-based vicinity prior model we propose, defined as shortest-path pairwise constraints on the object adjacency graph, can be easily reformulated to account for the spatial relationships between objects in a given pro
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Moya, Nikolas 1991. "Interactive segmentation of multiple 3D objects in medical images by optimum graph cuts = Segmentação interativa de múltiplos objetos 3D em imagens médicas por cortes ótimos em grafo." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275554.

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Orientador: Alexandre Xavier Falcão<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-27T14:45:13Z (GMT). No. of bitstreams: 1 Moya_Nikolas_M.pdf: 5706960 bytes, checksum: 9304544bfe8a78039de8b62562531865 (MD5) Previous issue date: 2015<br>Resumo: Segmentação de imagens médicas é crucial para extrair medidas de objetos 3D (estruturas anatômicas) que são úteis no diagnóstico e tratamento de doenças. Nestas aplicações, segmentação interativa é necessária quando métodos automáticos falham ou não são factíveis. Métodos p
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Björnfot, Magnus. "Extension of DIRA (Dual-Energy Iterative Algorithm) to 3D Helical CT." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138595.

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There is a need for quantitative CT data in radiation therapy. Currently there are only few algorithms that address this issue, for instance the commercial DirectDensity algorithm. In scientific literature, an example of such an algorithm is DIRA. DIRA is an iterative model-based reconstruction method for dual-energy CT whose goal is to determine the material composition of the patient from accurate linear attenuation coefficients. It has been implemented in a two dimensional geometry, i.e., it could process axial scans only.  There was a need to extend DIRA so that it could process projection
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Favretto, Fernanda Oliveira. "Registro de imagens 3D do cerebro humano." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276178.

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Orientador: Alexandre Xavier Falcão<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-13T10:55:58Z (GMT). No. of bitstreams: 1 Favretto_FernandaOliveira_M.pdf: 1878530 bytes, checksum: b516fce053de83b3dbd32fa789dcb9c9 (MD5) Previous issue date: 2009<br>Resumo: O registro de imagens é o processo que alinha duas ou mais imagens em um mesmo sistema de coordenadas espaciais [31]. Na área de Imagens Médicas, o problema de registro de imagens tem muitas aplicações permitindo, por exemplo, a análise da variação de fenômenos
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Hlindzich, Dzmitry [Verfasser], and Reinhard [Akademischer Betreuer] Männer. "Medical image analysis methods for anatomical surface reconstruction using tracked 3D ultrasound / Dzmitry Hlindzich ; Betreuer: Reinhard Männer." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/1179925580/34.

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Karlsson, Edlund Patrick. "Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9201.

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Mark, Clarisse Ildikó. "Image-guided radiotherapy using 2D and 3D ultrasound combined with Monte Carlo dose calculations in prostate treatments." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98761.

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Two ultrasound systems were studied to investigate the effects of positional and volumetric prostate variations on dosimetry over the course of external radiation therapy. A 2D system, currently used at the Montreal General Hospital for patient repositioning, was compared to a 3D system invented recently. Prostate variations were quantified from ultrasound images acquired daily during a 2003 clinical study. A method was devised to introduce ultrasound information in a Monte Carlo Treatment Planning System previously developed at McGill. Patient repositioning was evaluated for both systems usin
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35

Morariu, Cosmin Adrian [Verfasser], and Josef [Akademischer Betreuer] Pauli. "Extraction of Complex Fine Structures in 3D & 2D Medical Image Data / Cosmin Adrian Morariu ; Betreuer: Josef Pauli." Duisburg, 2019. http://d-nb.info/1191692256/34.

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Sanchez, Silva Victor F. "Advances in medical image compression : novel schemes for highly efficient storage, transmission and on demand scalable access for 3D and 4D medical imaging data." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27281.

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Three dimensional (3D) and four dimensional (4D) medical images are increasingly being used in many clinical and research applications. Due to their huge file size, 3D and 4D medical images pose heavy demands on storage and archiving resources. Lossless compression methods usually facilitate the access and reduce the storage burden of such data, while avoiding any loss of valuable clinical data. In this thesis, we propose novel methods for highly efficient storage and scalable access of 3D and 4D medical imaging data that outperform the state-of the-art. Specifically, we propose (1) a symmetry
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Iborra, Carreres Amadeo. "Development of a New 3D Reconstruction Algorithm for Computed Tomography (CT)." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/59421.

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[EN] Model-based computed tomography (CT) image reconstruction is dominated by iterative algorithms. Although long reconstruction times remain as a barrier in practical applications, techniques to speed up its convergence are object of investigation, obtaining impressive results. In this thesis, a direct algorithm is proposed for model-based image reconstruction. The model-based approximation relies on the construction of a model matrix that poses a linear system which solution is the reconstructed image. The proposed algorithm consists in the QR decomposition of this matrix and the resolution
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D'Souza, Aswin Cletus. "Automated counting of cell bodies using Nissl stained cross-sectional images." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2035.

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Ondrová, Martina. "Design dentálního panoramatického rentgenu s 3D zobrazením." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444989.

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The topic of this thesis is the design of dental X-ray. User problems were identified based on the design and technical analysis for which solutions are presented in the work. The innovative shape and design solution shows a new approach to dental X-rays. The main benefit of the design is the solution to real ergonomic problems that can occur during the interaction of the operator or patient and the device. The design corresponds to current trends in the evolving design field of medical design.
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Agerskov, Niels. "Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241542.

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Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. In this project a semi-automated algorithm is proposed, approaching the segmentation problem in a slice by slice manner utilising the prediction of a previous slice as a prior for the next. This both allows the algorithm to segment entirely new cases and gives the user the ab
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Järrendahl, Hannes. "Automatic Detection of Anatomical Landmarks in Three-Dimensional MRI." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130944.

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Detection and positioning of anatomical landmarks, also called points of interest(POI), is often a concept of interest in medical image processing. Different measures or automatic image analyzes are often directly based upon positions of such points, e.g. in organ segmentation or tissue quantification. Manual positioning of these landmarks is a time consuming and resource demanding process. In this thesis, a general method for positioning of anatomical landmarks is outlined, implemented and evaluated. The evaluation of the method is limited to three different POI; left femur head, right femur
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Hamadeh, Mohamad Ali. "Une approche unifiée pour la segmentation et la mise en correspondance 3D/2D d'images multimodales : application à l'étude cinématique 3D de la colonne vertébrale." Grenoble INPG, 1997. http://www.theses.fr/1997INPG0035.

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Dans cette these nous proposons une approche unifiee pour la mise en correspondance 3d/2d entre le modele surfacique 3d d'un objet et deux projections radiographiques 2d de cet objet. Il s'agit de trouver la transformation rigide 3d entre le modele de l'objet defini dans le referentiel r#m#o#d#e#l et les donnees radiographiques definies dans le referentiel du systeme d'imagerie radiographique r#s#e#n#s#o#r en tenant compte de la dualite entre mise en correspondance et segmentation dans un systeme de vision a base de modeles. Apres une presentation des diverses etapes de traitement necessaires
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Bartrina-Rapesta, Joan, Francesc Aulí-Llinàs, Ian Blanes, Michael W. Marcellin, Victor Sanchez, and Joan Serra-Sagristà. "Efficient storage of microCT data preserving bone morphometry assessment." PERGAMON-ELSEVIER SCIENCE LTD, 2016. http://hdl.handle.net/10150/621509.

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Preclinical micro-computed tomography (microCT) images are of utility for 3D morphological bone evaluation, which is of great interest in cancer detection and treatment development. This work introduces a compression strategy for microCTs that allocates specific substances in different Volumes of Interest (Vols). The allocation procedure is conducted by the Hounsfield scale. The Vols are coded independently and then grouped in a single DICOM-compliant file. The proposed method permits the use of different codecs, identifies and transmit data corresponding to a particular substance in the compr
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Kadkhodamohammadi, Abdolrahim. "3D detection and pose estimation of medical staff in operating rooms using RGB-D images." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD047/document.

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Dans cette thèse, nous traitons des problèmes de la détection des personnes et de l'estimation de leurs poses dans la Salle Opératoire (SO), deux éléments clés pour le développement d'applications d'assistance chirurgicale. Nous percevons la salle grâce à des caméras RGB-D qui fournissent des informations visuelles complémentaires sur la scène. Ces informations permettent de développer des méthodes mieux adaptées aux difficultés propres aux SO, comme l'encombrement, les surfaces sans texture et les occlusions. Nous présentons des nouvelles approches qui tirent profit des informations temporell
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45

Maddah, Mohammad Reza. "3D visualization and interactive image manipulation for surgical planning in robot-assisted surgery." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0079/document.

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La chirurgie robotisée a été développée pour pallier les difficultés de la chirurgie laparoscopique. Le robot da Vinci (Intuitive Surgical) est largement répandu dans les hôpitaux nord-américains et européens pour la chirurgie abdominale. Basé sur de la téléopération, il améliore la dextérité et la précision des opérations en chirurgie mini-invasive. Cependant, des recommandations incomplètes et des défauts ergonomiques du système, pour positionner les bras du robot à la surface l’abdomen du patient avant l’opération, créent un des principaux problèmes de la chirurgie robotisée : des organes i
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Tuvesson, Markus. "Implementation of the Weighted Filtered Backprojection Algorithm in the Dual-Energy Iterative Algorithm DIRA-3D." Thesis, Linköpings universitet, Institutionen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173583.

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DIRA-3D is an iterative model-based reconstruction method for dual-energy helical CT whose goal is to determine the material composition of the patient from accurate linear attenuation coefficients (LACs). Possible applications are, for example, to aid in calculations of radiation transport and dose calculations in brachytherapy with low energy photons, and in proton therapy. There was a need to replace the current image reconstruction method, the PI-method, with a weighted filtered backprojection (wFBP) algorithm for image reconstruction, since wFBP is used for image reconstruction in Siemens
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Mehrtash, Alireza. "Needle Navigation for Image Guided Brachytherapy of Gynecologic Cancer." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248042.

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In the past twenty years, the combination of the advances in medical imaging technologies and therapeutic methods had a great impact in developing minimally invasive interventional procedures. Although the use of medical imaging for the surgery and therapy guidance dates back to the early days of x-ray discovery, there is an increasing evidence in using the new imaging modalities such as computed tomography (CT), magnetic reso- nance imaging (MRI) and ultrasound in the operating rooms. The focus of this thesis is on developing image-guided interventional methods and techniques to support the r
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Tran, Minh-Phuong. "Analyse d'images 3D par méthodes variationnelles et ondelettes : application à l'imagerie médicale." Phd thesis, Université d'Orléans, 2012. http://tel.archives-ouvertes.fr/tel-00772308.

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L'imagerie médicale joue un rôle de plus en plus important avec le développement de nombreuses techniques d'acquisition. Il faut principalement pouvoir restaurer (débruiter) les images et en faire une segmentation. Ainsi toute l'information qualitative et quantitative sera disponible pour affiner les diagnostics. Dans cette thèse nous proposons une contribution à cette analyse dans un contexte 3D. Nous étudions deux grands types de méthodes : les méthodes variationnelles et les méthodes par ondelettes. Nous commençons par présenter les modèles variationnels du second ordre, qui s'avèrent plus
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Montagnat, Johan. "Modèles déformables pour la segmentation et la modélisation d'images médicales 3D et 4D." Phd thesis, Université de Nice Sophia-Antipolis, 1999. http://tel.archives-ouvertes.fr/tel-00683368.

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Dans cette thèse, nous nous intéressons à l'utilisation des modèles déformables surfaciques pour la segmentation d'images 3D et 4D. Dans un premier temps, nous nous sommes attachés à contraindre l'espace des déformations admissibles du modèle afin de rendre le processus de déformation plus fiable. Nous avons utilisé le formalisme des maillages simplexes pour exprimer des contraintes régularisantes de la surface. Nous avons développé un processus évolutif de déformation combinant une transformation globale ayant peu de degrés de liberté et un champ de déformations locales. Il permet de contrôle
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Lorintiu, Oana. "Reconstruction par acquisition compressée en imagerie ultrasonore médicale 3D et Doppler." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0093/document.

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DL’objectif de cette thèse est le développement de techniques adaptées à l’application de la théorie de l’acquisition compressée en imagerie ultrasonore 3D et Doppler. En imagerie ultrasonore 3D une des principales difficultés concerne le temps d’acquisition très long lié au nombre de lignes RF à acquérir pour couvrir l’ensemble du volume. Afin d’augmenter la cadence d’imagerie une solution possible consiste à choisir aléatoirement des lignes RF qui ne seront pas acquises. La reconstruction des données manquantes est une application typique de l’acquisition compressée. Une autre application d’
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