Дисертації з теми "3D medical imaging"
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Carr, Jonathan. "Surface reconstruction in 3D medical imaging." Thesis, University of Canterbury. Electrical Engineering, 1996. http://hdl.handle.net/10092/6533.
Повний текст джерелаJones, Jonathan-Lee. "2D and 3D segmentation of medical images." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.
Повний текст джерелаQuartararo, John David. "Semi-automated segmentation of 3D medical ultrasound images." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-020509-161314/.
Повний текст джерелаKeywords: 3d ultrasound; ultrasound; image processing; image segmentation; 3d image segmentation; medical imaging Includes bibliographical references (p.142-148).
Quartararo, John David. "Semi-Automated Segmentation of 3D Medical Ultrasound Images." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/155.
Повний текст джерелаEljaaidi, Abdalla Agila. "2D & 3D ultrasound systems in development of medical imaging technology." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2193.
Повний текст джерелаUltrasound is widely used in most medical clinics, especially obstetrical clinics. It is a way of imaging methods that has important diagnostic value. Although useful in many different applications, diagnostic ultrasound is especially useful in antenatal (before delivery) diagnosis. The use of two-dimensional ultrasound (2DUS) in obstetrics has been established. However, there are many disadvantages of 2DUS imaging. Several researchers have published information on the significance of patients being shown the ultrasound screen during examination, especially during three- and four-dimensional (3D/4D) scanning. In addition, a form of ultrasound, called keepsake or entertainment ultrasound, has boomed, particularly in the United States. However, long-term epidemiological studies have failed to show the adverse effects of ultrasound in human tissues. Until now, there is no proof that diagnostic ultrasound causes harm in a human body or the developing foetus when used correctly. While ultrasound is supposed to be absolutely safe, it is a form of energy and, as such, has effects on tissues it traverses (bio-effects). The two most important mechanisms for effects are thermal and non-thermal. These two mechanisms are indicated on the screen of ultrasound devices by two indices: The thermal index (TI) and the mechanical index (MI). These are the purposes of this thesis: • evaluate end-users’ knowledge regarding the safety of ultrasound; • evaluate and make a comparison between acoustic output indices (AOI) in B-mode (2D) and three-dimensional (3D) ultrasound – those measured by thermal (TI) and mechanical (MI) indices; • assess the acoustic output indices (AOI) to benchmark current practice with a survey conducted by the British Medical Ultrasound Society (BMUS); and • review how to design 2D and 3D arrays for medical ultrasound imaging
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.
Повний текст джерелаBadawi, Ramsey Derek. "Aspects of optimisation and qualification in 3D positron emission tomography." Thesis, King's College London (University of London), 1998. https://kclpure.kcl.ac.uk/portal/en/theses/aspects-of-optimisation-and-qualification-in-3d-positron-emission-tomography(47a88023-9d6c-453f-aa8d-fcc5b83ae168).html.
Повний текст джерелаPellegrini, Giulio. "Technology development of 3D detectors for high energy physics and medical imaging." Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269510.
Повний текст джерелаRathod, Gaurav Dilip. "An improved effective method for generating 3D printable models from medical imaging." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/80415.
Повний текст джерелаMaster of Science
Li, Jianchun. "Design of an FPGA-based computing platform for realtime 3D medical imaging." online version, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1106098912.
Повний текст джерелаNumburi, Uma D. "3D Imaging for Planning of Minimally Invasive Surgical Procedures." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1308704453.
Повний текст джерелаChen, Kailiang. "A Column-Row-Parallel ASIC architecture for 3D wearable / portable medical ultrasonic imaging." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/87916.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 163-174).
This work presents a scalable Column-Row-Parallel ASIC architecture for 3D wearable / portable medical ultrasound. It leverages programmable electronic addressing to achieve linear scaling for both hardware interconnection and software data acquisition. A 16x16 transceiver ASIC is fabricated and flip-chip bonded to a 16x16 capacitive micromachined ultrasonic transducer (CMUT) to demonstrate the compact, low-power front-end assembly. A 3D plane-wave coherent compounding algorithm is designed for fast volume rate (62.5 volume/s), high quality 3D ultrasonic imaging. An interleaved checker board pattern with I&Q excitations is also proposed for ultrasonic harmonic imaging, reducing transmitted second harmonic distortion by over 20dB, applicable to nonlinear transducers and circuits with arbitrary pulse shapes. Each transceiver circuit is element-matched to its CMUT element. The high voltage transmitter employs a 3-level pulse-shaping technique with charge recycling to enhance the power efficiency, requiring minimum off-chip components. Compared to traditional 2-level pulsers, 50% more acoustic power delivery is obtained with the same total power dissipation. The receiver is implemented with a transimpedance amplifier topology and achieves a lowest noise efficiency factor in the literature (2.1 compared to a previously reported lowest of 3.6, in unit of mPa - [square root sign]mW/Hz). A source follower stage is specially designed to combine the analog outputs of receivers in parallel, improving output SNR as parallelization increases and offering flexibility for imaging algorithm design. Lastly, fault-tolerance is incorporated into the transceiver to deal with faulty elements within the 2D MEMS transducer array, increasing yield for the system assembly.
by Kailiang Chen.
Ph. D.
Li, Jianchun. "DESIGN OF AN FPGA-BASED COMPUTING PLATFORM FOR REAL-TIME 3D MEDICAL IMAGING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=case1106098912.
Повний текст джерелаPoon, 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.
Повний текст джерелаLakhotia, Kritika. "Visualization and quantification of 3D tumor-host interface architecture reconstructed from digital histopathology slides." Thesis, State University of New York at Buffalo, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10127616.
Повний текст джерелаOral cavity cancer (OCC) is a type of cancer of the lip, tongue, salivary glands and other sites in the mouth (buccal or oral cavity) and is the sixth leading cause of cancer worldwide. Patients with OCC are treated based on a staging system: low-stage patients typically receive less aggressive therapy compared to high-stage patients. Unfortunately, low-stage patients are sometimes at risk for locoregional recurrence. Recently, a semi-quantitative risk scoring system has been developed to assess the locoregional recurrence risk for low-stage patients. This risk scoring system is based on tissue characteristics determined on 2D histopathology images under a microscope. This modality limits the appreciation of the 3D architecture of the tumor and its associated morphological features. This thesis aims to visualize 3D models of the tumor-host interface reconstructed from serially-sectioned histopathology slides and quantify their clinically validated morphological features to predict locoregional recurrence after treatment. The 3D models are developed and quantified for 6 patient cases using readily available tools. This pilot study provides a framework for an automated diagnostic technique for 3D visualization and morphological analysis of tumor biology which is traditionally done using 2D analysis.
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.
Повний текст джерелаEssafi, Salma. "3D Knowledge-based Segmentation Using Sparse Hierarchical Models : contribution and Applications in Medical Imaging." Phd thesis, Ecole Centrale Paris, 2010. http://tel.archives-ouvertes.fr/tel-00534805.
Повний текст джерелаYang, Mu. "RadPaint a Web-based interactive 3D virtual radiation field application /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001198.
Повний текст джерелаPhelps, Emma. "Exploring patients' experience of viewing their own 3D medical imaging results during a clinical consultation." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/90841/.
Повний текст джерелаBertrand, Arnaud. "Mise en place de l'imagerie Cerenkov 3D." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAE020/document.
Повний текст джерелаMolecular imaging aims to study biological processes in vivo. Cerenkov imaging is a molecular imaging technology that has developed since 2009. The principle is to inject a radioactive tracer molecule labeled with a radioactive isotope, then recording the optical signal emitted by the Cerenkov effect. The Cerenkov imaging allows imaging radiotracers emitting β+ radiation (positron) and β- (electron). The Cerenkov effect occurs when a charged particle moves through a medium with a speed greater than that of light in this same medium. If this threshold is exceeded, we observed an emission of optical photons called Cerenkov radiation. The emission spectrum of this extends from UV to IR continuously and the number of photons emitted as a function of the wavelength varies by 1/λ². My PhD is to develop 3D imaging Cerenkov to reconstruct the distribution of the radiotracer in vivo. We have an imaging platform named Amissa (A Multimodality Imaging System for Small Animal) whose purpose is to develop and make available tools for molecular imaging of small animals
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.
Повний текст джерелаKadia, Dhaval Dilip. "Advanced UNet for 3D Lung Segmentation and Applications." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619440426233034.
Повний текст джерелаIoannou, Christos. "Fetal skeletal imaging using 3D ultrasound and the impact of maternal vitamin D." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:cf8d5030-a117-4548-921c-e802c873c40f.
Повний текст джерелаFavretto, Fernanda Oliveira. "Registro de imagens 3D do cerebro humano." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276178.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
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
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 e estruturas anatômicas ao longo do tempo, pelo registro de imagens de uma mesma modalidade obtidas em diferentes instantes de tempo; ou o estudo das informações anatômicas e fisiológicas combinadas para uma dada estrutura fenômeno, pelo registro de imagens obtidas por modalidades diferentes. O objetivo deste trabalho é o desenvolvimento de uma técnica de registro para imagens tridimensionais do cérebro humano, cuja motivação é o estudo comparativo de imagens de Ressonância Magnética pré- e pós-operatórias do cérebro de pacientes de epilepsia. Um estudo recente [80] tem observado que nos casos em que houve crises recorrentes, após a remoção cirúrgica do foco da crise, os pacientes apresentaram alterações nas substâncias cinza e branca do cérebro. O registro das imagens pré- e pós- operatórias desses pacientes permite a análise dessas alterações. Foi desenvolvida uma técnica de registro rígido que realiza o alinhamento de imagens 3D de forma automática, rápida e precisa. O método baseia-se no casamento das linhas de watershed marcador de cinza extraídas da imagem móvel com uma imagem de borda realçada pelo gradiente morfológico da imagem fixa. A busca dos parâmetros de rotação e translação que compõem a função de mapeamento é feita através de uma técnica proposta neste trabalho, denominada Descendente de Gradiente em Múltiplas Escalas (MSGD) - um variante do tradicional método de Descendente de Gradiente - a qual permite passos de tamanhos escalonados dos vetores de gradiente, evitando mínimos locais indesejáveis e convergindo para o ótimo desejado mais rapidamente. O método foi avaliado em imagens 3D de ressonância magnética do cérebro humano ponderadas em T1 e obteve bons resultados. Os experimentos envolveram 2 bases de dados. A primeira base é a base de dados de controle, composta por 200 pares de imagens, onde o registro foi realizado em aproxidamente 45s e obteve erro médio de rotação de 0, 06?, 0, 08? e 0, 08? com desvio padrão de 0, 06, 0, 25 e 0, 08 nos eixos X, Y e Z, respectivamente, e erro médio de translação de 1, 67mm, 1, 55mm e 2, 27mm com desvio padrão de 1, 83, 1, 45 e 2, 27 nos eixos X, Y e Z, respectivamente. A segunda base foi uma base de dados clínicos, composta por imagens pré- e pós-operatórias de pacientes com epilepsia, que comprovou a eficácia do método em dados clínicos reais. Também foram desenvolvidas duas técnicas de visualização do registro, uma delas baseada no mosaico das imagens registradas e a outra que combina as imagens em um único volume colorido, onde as alterações de tecidos são identificadas pelas cores vermelha e verde. Portanto, as principais contribuições deste trabalho são: uma metodologia para o registro, que envolve combinação eficiente de características, métrica de similaridade e estratégia de busca; a estratégia MSGD que se mostrou promissora para outros problemas de otimização; e uma técnica de visualização das imagens registradas na forma de um volume colorido.
Abstract: Image Registration is the process that aligns two or more images in a common reference system of spacial coordinates [31]. It is an important problem with several applications in Medical Imaging, enabling, for instance, the analysis of changes in anatomy along time by the registration of images from the same modality, and the study of combined anatomic and physiologic data by the registration of images from different modalities. The objective of this work is the development of a registration method for 3D images of the human brain, and the motivation is a comparative study of pre and post-surgical images from epilepsy patients. A recent study [80] has observed that some pacients, who did not cease the seizures after surgery, presented variations in their brain tissues. The registration of pre and post-surgical images enables the analysis of these tissue's variations. We developed a rigid registration method that aligns 3D images in a fast, automatic and accurate way. The method is based on the matching between watershed lines extrated from a source image and a morphological gradient image from the target image. The search for the parameters of rotation and translation that compose the mapping function is done by a techinique proposed in this work, named Multi-Scale Gradient Descent - a variant of the tradicional method Gradient Descent - which enables gradient's vectors with scaled magnitudes, avoiding undesirable local minima and fastly converging to the desired optimum. The method was evaluated on 3D T1-weighted Magnetic Ressonance Images of the human brain. The experiments used 2 data bases: a control data base, composed by 200 pairs of images, in which the method took approximately 45s and acceptable results; and a data base of patients, composed by pre- and post-surgical images, demonstrating the effectiveness of the method for real data. We have also developed visualization techiniques for the registred images: the checkerboard image, that alternates the target and registered source in a checkerboard pattern, allowing the user to inspect the correctness, coherence and continuity of the registration; and the colorized image, that combines the target and registered source images in a single colorized volume, such that the alterations of the tissues can be identified by the red and green colors. Therefore, the main contributions of this work are: a 3D registration methodology, that involves an effective combination of feature selection, similarity measure and search strategy; a search strategy, MSGD, that seems to be promissing for other optimization problems; and a visualization techinique that uses a colorized volume to combine the registered images.
Mestrado
Processamento e Analise de Imagens
Mestre em Ciência da Computação
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.
Повний текст джерелаNguyen, Peter. "CANNABINOID RECEPTORS IN THE 3D RECONSTRUCTED MOUSE BRAIN: FUNCTION AND REGULATION." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2274.
Повний текст джерелаPrabhu, 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.
Повний текст джерелаSanchez, 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.
Повний текст джерелаD'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.
Повний текст джерелаCheng, Jiqi. "A Study of Wave Propagation and Limited-Diffraction Beams for Medical Imaging." University of Toledo / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1133820434.
Повний текст джерелаBruce, Michael P. "Detection of Endoscopic Looping During Colonoscopy Procedure Using Embedded Bending Sensors." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1429796708.
Повний текст джерелаKeenan, Bethany Elin. "Medical imaging and Biomechanical analysis of scoliosis progression in the growing adolescent spine." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/84532/1/Bethany%20Elin_Keenan_Thesis.pdf.
Повний текст джерелаYu, Boliang. "3D analysis of bone ultra structure from phase nano-CT imaging." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI016/document.
Повний текст джерелаOsteoporosis is a bone fragility disease resulting in abnormalities in bone mass and density. In order to prevent osteoporotic fractures, it is important to have a better understanding of the processes involved in fracture at various scales. As the most abundant bone cells, osteocytes may act as orchestrators of bone remodeling which regulate the activities of both osteoclasts and osteoblasts. The osteocyte system is deeply embedded inside the bone matrix and also called lacuno-canalicular network (LCN). Although several imaging techniques have recently been proposed, the 3D observation and analysis of the LCN at high spatial resolution is still challenging. The aim of this work was to investigate and analyze the LCN in human cortical bone in three dimensions with an isotropic spatial resolution using magnified X-ray phase nano-CT. We performed image acquisition at different voxel sizes of 120 nm, 100 nm, 50 nm and 30 nm in the beamlines ID16A and ID16B of the European Synchrotron Radiation Facility (ESRF - European Synchrotron Radiation Facility - Grenoble). Our first study concerned phase retrieval, which is the first step of data processing and consists in solving a non-linear inverse problem. We proposed an extension of Paganin’s method suited to multi-distance acquisitions, which has been used to retrieve phase maps in our experiments. The method was compared theoretically and experimentally to the contrast transfer function (CTF) approach for homogeneous object. The analysis of the 3D reconstructed images requires first to segment the LCN, including both the segmentation of lacunae and of canaliculi. We developed a workflow based on median filter, hysteresis thresholding and morphology filters to segment lacunae. Concerning the segmentation of canaliculi, we made use of the vesselness enhancement to improve the visibility of line structures, the variational region growing to extract canaliculi and connected components analysis to remove residual noise. For the quantitative assessment of the LCN, we calculated morphological descriptors based on an automatic and efficient 3D analysis method developed in our group. For the lacunae, we calculated some parameters like the number of lacunae, the bone volume, the total volume of all lacunae, the lacunar volume density, the average lacunae volume, the average lacunae surface, the average length, width and depth of lacunae. For the canaliculi, we first computed the total volume of all the canaliculi and canalicular volume density. Moreover, we counted the number of canaliculi at different distances from the surface of each lacuna by an automatic method, which could be used to evaluate the ramification of canaliculi. We reported the statistical results obtained on the different groups and at different spatial resolutions, providing unique information about the organization of the LCN in human bone in three dimensions
Nöjdh, Oscar. "Intelligent boundary extraction for area and volume measurement : Using LiveWire for 2D and 3D contour extraction in medical imaging." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-136448.
Повний текст джерелаZhao, Yue. "Biopsy needles localization and tracking methods in 3d medical ultrasound with ROI-RANSAC-KALMAN." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0015/document.
Повний текст джерелаIn medical examinations and surgeries, minimally invasive technologies are getting used more and more often. Some specially designed surgical instruments, like biopsy needles, or electrodes are operated by radiologists or robotic systems and inserted in human’s body for extracting cell samples or delivering radiation therapy. To reduce the risk of tissue injury and facilitate the visual tracking, some medical vision assistance systems, as for example, ultrasound (US) systems can be used during the surgical procedure. We have proposed to use the 3D US to facilitate the visualization of the biopsy needle, however, due to the strong speckle noise of US images and the large calculation load involved as soon as 3D data are involved, it is a challenge to locate the biopsy needle accurately and to track its position in real time in 3D US. In order to solve the two main problems above, we propose a method based on the RANSAC algorithm and Kalman filter. In this method, a region of interest (ROI) has been limited to robustly localize and track the position of the biopsy needle in real time. The ROI-RK method consists of two steps: the initialization step and the tracking step. In the first step, a ROI initialization strategy using Hessian based line filter measurement is implemented. This step can efficiently reduce the speckle noise of the ultrasound volume, and enhance line-like structures as biopsy needles. In the second step, after the ROI is initialized, a tracking loop begins. The RK algorithm can robustly localize and track the biopsy needles in a dynamic situation. The RANSAC algorithm is used to estimate the position of the micro-tools and the Kalman filter helps to update the ROI and auto-correct the needle localization result. Because the ROI-RK method is involved in a dynamic situation, a motion estimation strategy is also implemented to estimate the insertion speed of the biopsy needle. 3D US volumes with inhomogeneous background have been simulated to evaluate the performance of the ROI-RK method. The method has been tested under different conditions, such as insertion orientations angles, and contrast ratio (CR). The localization accuracy is within 1 mm no matter what the insertion direction is. Only when the CR is very low, the proposed method could fail to track because of an incomplete ultrasound imaging of the needle. Another methodology, i.e. RANSAC with machine learning (ML) algorithm has been presented. This method aims at classifying the voxels not only depending on their intensities, but also using some structure features of the biopsy needle. The simulation results show that the RANSAC with ML algorithm can separate the needle voxels and background tissue voxels with low CR
Vaďura, Jiří. "Využití Vertex a Pixel shaderu v OpenGL pro 3D zobrazení 3D obrazových dat v medicíně." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236625.
Повний текст джерелаDolet, Aneline. "2D and 3D multispectral photoacoustic imaging - Application to the evaluation of blood oxygen concentration." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI070/document.
Повний текст джерелаPhotoacoustic imaging is a functional technique based on the creation of acoustic waves from tissues excited by an optical source (laser pulses). The illumination of a region of interest, with a range of optical wavelengths, allows the discrimination of the imaged media. This modality is promising for various medical applications in which growth, aging and evolution of tissue vascularization have to be studied. Thereby, photoacoustic imaging provides access to blood oxygenation in biological tissues and also allows the discrimination of benign or malignant tumors and the dating of tissue death (necrosis). The present thesis aims at developing a multispectral photoacoustic image processing chain for the calculation of blood oxygenation in biological tissues. The main steps are, first, the data discrimination (clustering), to extract the regions of interest, and second, the quantification of the different media in these regions (unmixing). Several unsupervised clustering and unmixing methods have been developed and their performance compared on experimental multispectral photoacoustic data. They were acquired on the experimental photoacoustic platform of the laboratory, during collaborations with other laboratories and also on a commercial system. For the validation of the developed methods, many phantoms containing different optical absorbers have been produced. During the co-supervision stay in Italy, specific imaging modes for 2D and 3D real-time photoacoustic imaging were developed on a research scanner. Finally, in vivo acquisitions using a commercial system were conducted on animal model (mouse) to validate these developments
Palmberg, Staffan, and Magnus Ranlöf. "A Collaborative VolumeViewer." Thesis, Linköping University, Department of Science and Technology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1153.
Повний текст джерелаThis study has been carried out as a part of the EC funded project, SMARTDOC IST-2000-28137, with the objective of developing application components that provide highly interactive visualization and collaboration functionalities. The low-level components from the graphics library AVS OpenViz 2.0 are used as the development basis. The application components can be inserted into electronic documents that allow embedded controls such as web documents or Microsoft Word or PowerPoint documents. Instead of displaying results as static images, a SMARTDOC component provides the ability to visualize data and interact with it inside the document.
Although the principal goal of the SMARTDOC project is to create components in a number of different application domains this study concentrates on developing a medical imaging application component in collaboration with the project partners AETmed and professor Alan Jackson at the University of Manchester. By incorporating the application component into patient reports, the clinicians are provided the ability to interact with the 3D data that is described in the reports. To improve the usability of the component, it makes use of a visual user interface (VUI), which gives the user the ability to interact and change parameters directly in the visualization process.
Collaborative work over geographical distances is an area that is becoming increasingly common and thus more interesting. As the availability of bandwidth has increased and the communication technologies have advanced, many companies express their interest for this new practical method of work. A company with offices in different countries would benefit from collaborative techniques providing closer cooperation within the company. Specialized institutions and laboratories could gather much experience and information through collaborative research. Medical imaging and visualization technique are areas where distinct disciplines such as networking, user interfaces and 3D visualization naturally can be fused together in order to develop collaborative environments. The visualization components developed within the SMARTDOC project will be the foundation for collaborative application components integrated with the Microsoft DirectX® multimedia library. In the medical imaging area, collaborative work can be used to improve diagnoses, journaling and teaching.
This study focuses on developing a prototype of an interactive visualization component for 3D medical imaging and creating a collaborative environment using a multimedia library originally meant for network gaming.
Chen, Zhiang. "Deep-learning Approaches to Object Recognition from 3D Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496303868914492.
Повний текст джерелаSong, Xin. "Path reconstruction in diffusion tensor magnetic resonance imaging." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00694403.
Повний текст джерелаOrhun, Koray. "Interactive Volume Rendering For Medical Images." Thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605542/index.pdf.
Повний текст джерелаChristopoulos, Charitos Andreas. "Brain disease classification using multi-channel 3D convolutional neural networks." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174329.
Повний текст джерелаPereañez, 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.
Повний текст джерелаEsta tesis presenta tres propuestas originales y complementarias para mejorar la calidad de los modelos estadísticos de formas (SSMs) que mejoran la precisión de la segmentación de la imagen médica en aplicaciones difíciles. Proponemos, primero, mejorar la riqueza estadística de los SSMs por medio de una técnica para unir la representación de forma y las propiedades estadísticas de muchos modelos pre-existentes sin observaciones adicionales. Segundo, mejorar la representacion geométrica de los SSMs modelando simultáneamente las características globales y locales del objecto o de multiples anatomias. Por último, mejorar la especificidad de los SSMs mediante la integración de metadatos del paciente no derivados de la imagen, tales como, variables demográficas, conductuales y de entorno clínico, en la construcción de los modelos. Estas técnicas son demostradas y validadas en imágenes de resonancia magnética (MRI) y tomografía computarizada (CT) y en anatomias como el corazón, el cerebro y la espina dorsal humanos.
Ovreiu, Elena. "Accurate 3D mesh simplification." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00838783.
Повний текст джерелаMontagnat, 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.
Повний текст джерелаLorintiu, Oana. "Reconstruction par acquisition compressée en imagerie ultrasonore médicale 3D et Doppler." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0093/document.
Повний текст джерелаThis thesis is dedicated to the application of the novel compressed sensing theory to the acquisition and reconstruction of 3D US images and Doppler signals. In 3D US imaging, one of the major difficulties concerns the number of RF lines that has to be acquired to cover the complete volume. The acquisition of each line takes an incompressible time due to the finite velocity of the ultrasound wave. One possible solution for increasing the frame rate consists in reducing the acquisition time by skipping some RF lines. The reconstruction of the missing information in post processing is then a typical application of compressed sensing. Another excellent candidate for this theory is the Doppler duplex imaging that implies alternating two modes of emission, one for B-mode imaging and the other for flow estimation. Regarding 3D imaging, we propose a compressed sensing framework using learned overcomplete dictionaries. Such dictionaries allow for much sparser representations of the signals since they are optimized for a particular class of images such as US images.We also focus on the measurement sensing setup and propose a line-wise sampling of entire RF lines which allows to decrease the amount of data and is feasible in a relatively simple setting of the 3D US equipment. The algorithm was validated on 3D simulated and experimental data. For the Doppler application, we proposed a CS based framework for randomly interleaving Doppler and US emissions. The proposed method reconstructs the Doppler signal using a block sparse Bayesian learning algorithm that exploits the correlation structure within a signal and has the ability of recovering partially sparse signals as long as they are correlated. This method is validated on simulated and experimental Doppler data
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.
Повний текст джерела[ES] En la reconstrucción de imagen de tomografía axial computerizada (TAC), en su modalidad model-based, prevalecen los algoritmos iterativos. Aunque los altos tiempos de reconstrucción aún son una barrera para aplicaciones prácticas, diferentes técnicas para la aceleración de su convergencia están siendo objeto de investigación, obteniendo resultados impresionantes. En esta tesis, se propone un algoritmo directo para la reconstrucción de imagen model-based. La aproximación model-based se basa en la construcción de una matriz modelo que plantea un sistema lineal cuya solución es la imagen reconstruida. El algoritmo propuesto consiste en la descomposición QR de esta matriz y la resolución del sistema por un proceso de sustitución regresiva. El coste de esta técnica de reconstrucción de imagen es un producto matriz vector y una sustitución regresiva, ya que la construcción del modelo y la descomposición QR se realizan una sola vez, debido a que cada reconstrucción de imagen supone la resolución del mismo sistema TAC para un término independiente diferente. Durante la implementación de este algoritmo aparecen varios problemas, tales como el cálculo exacto del volumen de intersección, la definición de estrategias de reducción del relleno optimizadas para matrices de modelo de TAC, o el aprovechamiento de simetrías del TAC que reduzcan el tama\~no del sistema. Estos problemas han sido detallados y se han propuesto soluciones para superarlos, y como resultado, se ha obtenido una implementación de prueba de concepto. Las imágenes reconstruidas han sido analizadas y comparadas frente a los algoritmos de reconstrucción filtered backprojection (FBP) y maximum likelihood expectation maximization (MLEM), y los resultados muestran varias ventajas del algoritmo propuesto. Aunque no se han podido obtener resoluciones altas aún, los resultados obtenidos también demuestran el futuro de este algoritmo, ya que se podrían obtener mejoras importantes en el rendimiento y la escalabilidad con el éxito en el desarrollo de mejores estrategias de reducción de relleno o simetrías en la geometría TAC.
[CAT] En la reconstrucció de imatge tomografia axial computerizada (TAC) en la seua modalitat model-based prevaleixen els algorismes iteratius. Tot i que els alts temps de reconstrucció encara són un obstacle per a aplicacions pràctiques, diferents tècniques per a l'acceleració de la seua convergència estàn siguent objecte de investigació, obtenint resultats impressionants. En aquesta tesi, es proposa un algorisme direct per a la recconstrucció de image model-based. L'aproximació model-based es basa en la construcció d'una matriu model que planteja un sistema lineal quina sol·lució es la imatge reconstruida. L'algorisme propost consisteix en la descomposició QR d'aquesta matriu i la resolució del sistema per un procés de substitució regresiva. El cost d'aquesta tècnica de reconstrucció de imatge es un producte matriu vector i una substitució regresiva, ja que la construcció del model i la descomposició QR es realitzen una sola vegada, degut a que cada reconstrucció de imatge suposa la resolució del mateix sistema TAC per a un tèrme independent diferent. Durant la implementació d'aquest algorisme sorgixen diferents problemes, tals com el càlcul exacte del volum de intersecció, la definició d'estratègies de reducció de farcit optimitzades per a matrius de model de TAC, o el aprofitament de simetries del TAC que redueixquen el tamany del sistema. Aquestos problemes han sigut detallats y s'han proposat solucions per a superar-los, i com a resultat, s'ha obtingut una implementació de prova de concepte. Les imatges reconstruides han sigut analitzades i comparades front als algorismes de reconstrucció filtered backprojection (FBP) i maximum likelihood expectation maximization (MLEM), i els resultats mostren varies ventajes del algorisme propost. Encara que no s'han pogut obtindre resolucions altes ara per ara, els resultats obtinguts també demostren el futur d'aquest algorisme, ja que es prodrien obtindre millores importants en el rendiment i la escalabilitat amb l'éxit en el desemvolupament de millors estratègies de reducció de farcit o simetries en la geometria TAC.
Iborra Carreres, A. (2015). Development of a New 3D Reconstruction Algorithm for Computed Tomography (CT) [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/59421
TESIS
Agier, Rémi. "Recalage de groupes d’images médicales 3D par extraction de points d’intérêt." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI093/document.
Повний текст джерелаThe ever-increasing amount of medical images stored in hospitals offers a great opportunity for big data analysis. In order to pave the way for huge image groups screening, we need to develop methods able to make images databases consistent by group registering those images. Currently, group registration methods generally use dense, voxel-based, representations for images and often pick a reference to register images. We propose a group registration framework, without reference image, by using only interest points (Surf3D), able to register hundreds of medical images. We formulate a global problem based on interest point matching. The inter-patient variability is high, and the outliers ratio can be large (70\%). We pay a particular attention on inhibiting outliers contribution. Our first contribution is a two-step rigid groupwise registration. In the first step, we compute the pairwise rigid registration of each image pair. In a second step, a complete graph of those registrations allows us to formulate a global problem using the laplacian operator. We show experimental results for groups of up to 400 CT-scanner 3D heterogeneous images highlighting the robustness and speed of our approach. In our second contribution, we compute a non-rigid groupwise registration. Our approach involves half-transforms, parametrized by a b-spline pyramid, between each image and a common space. A reference dataset shows that our algorithm provides competitive results while being much faster than previous methods. Those results show the potential of our interest point based registration method for huge datasets of 3D medical images. We also provide to promising perspectives: multi-atlas based segmentation and anthropology
Li, Fan. "Segmentation and Symbolic Representation of Brain Vascular Network : Application to ArterioVenous Malformations." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1048/document.
Повний текст джерелаThe processing and analysis of 3D Rotational Angiographic images (3DRA) of high spatial resolution to facilitate intervention planning in interventional neuroradiology is a new and booming research area. Neuroradiologists need interactive tools for the planning of embolization procedures and the optimization of the guidance of micro-catheters during endovascular interventions. The exploitation of imaging data to help in diagnosis and treatment requires the development of robust algorithms and efficient methods. These methods allow integrating information included in these images in order to extract useful anatomical descriptors during preoperative and peroperative phases.This thesis is dedicated to the development of a complete processing pipeline including segmentation, three-dimensional (3D) reconstruction and symbolic representation of cerebral vessels from 3DRA images, aiming to facilitate the embolization intervention planning for the treatment of cerebral ArterioVenous Malformations (AVMs).The first part of the work is devoted to the study of the different approaches used for the segmentation of vessels. Two segmentation methods are then proposed. First, a 2D slice-by-slice segmentation method is developed, followed by a robust vessel tracking process that enables detecting bifurcations and further following several branches of the same vessel. A mesh based on the Constrained Delaunay triangulation allows then the 3D reconstruction and visualization of the obtained vessels. An automated 3D segmentation method of 3DRA images is then developed, which presents the advantage of being faster and processing the whole 3D volume of images. This method is region growing based. The 3D process starts from an initial pre-segmented slice using the geodesic reconstruction, where the seeds are automatically placed. Finally, a representation of the vasculature is obtained, in which these three entities are clearly visible: the feeding arteries, the draining veins and the nidus.The second part of the thesis is devoted to the symbolic representation of the vessels. The hierarchical study of the skeleton allows giving a graphic description of the cerebral vascular network. From this graphic description, the vessels and their branches are labeled and one or more vessels can be isolated from the rest of network for a more accurate visual analysis, which is not possible with the original 3D reconstructions. Moreover, this improves the determination of the optimal paths for the AVM embolization and reduces the complexity due to the entanglement of the malformed vessels.The complete processing pipeline thus developed leads to a precise 3D description of the vessels. It allows a better understanding of the cerebral vascular network structure and provides the possibility to neuroradiologists of extracting anatomical and geometric descriptors (size, diameter...) of the vessels. Finally, a verification step of the results by a neuroradiology expert enabled clinical validation of the 3D segmentation and reconstruction results. The integration of the developed algorithms in a user-friendly graphical interface should be achieved to allow the exploitation of our results in clinical routine
Decker, Summer J. "The Human in 3D: Advanced Morphometric Analysis of High-Resolution Anatomically Accurate Computed Models." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3525.
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