Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 534 for “"medical imaging"”.
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Electromagnetic Tracking for Medical Imaging
This thesis explores the novel use of a wireless electromagnetic: EM) tracking device in a Computed Tomography: CT) environment. The sources of electromagnetic interference inside a Philips Brilliant Big Bore CT scanner are analyzed. A research version of the Calypso wireless tracking system was …
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Viewpoint estimation in medical imaging
In medical imaging, the appearance of a certain body part on a radiograph depends not only on the position but also on the orientation of the X-ray imaging system with respect to the patient. Given a 2D image of a 3D scene, the problem of viewpoint estimation aims to determine the position and the …
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AI-driven Automated Medical Imaging Analysis
<p>Medical imaging has been applied widely in many clinical diagnoses to detect and differentiate abnormalities by revealing the internal structure of the human body at normal anatomical and physiological levels. Manual analyzing medical images demands attention and is time-consuming, requiring …
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Image acquisition and storage for medical imaging systems
Image Acquisition and Storage for Medical Imaging Systems investigates the issues and requirements to develop a medical imaging system for the dental industry. Research was conducted through studying image acquisition and digitization systems, image file format standards, and data image …
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Retrieving Information from Scattered Photons in Medical Imaging
In many medical imaging modalities, as photons travel from the emission source to the detector, they are scattered by the biological tissue. Often this scatter is viewed as a phenomenon that degrades image quality, and most research is focused on designing methods for either discarding the …
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Effective Modeling in Medical Imaging with Constrained Data
Data for modern medical imaging modeling is constrained by their high physical density, complex structure, insufficient annotation, heterogeneity across sites, long-tailed distribution of findings/conditions/diseases, and sparsely presented information. In this dissertation, to utilize the …
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Volumetric Mapping for Medical Imaging and Geometry Processing
… to a target domain. It is a central problem in medical imaging and computer graphics. Most methods for this task apply only to two-dimensional (2D) surfaces. The neglected task of volumetric (3D) mapping, a natural extension relevant to shapes extracted from medical imaging, simulation, and …
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Piezoelectric micro-machined ultrasonic transducers for medical imaging
Next generation medical imaging technology hinges on the development of cost effective and array compatible transducers making piezoelectric micro-machined ultrasonic transducers (pMUTs) an attractive alternative to the current bulk piezoelectric technology. This thesis aims to realize pMUT …
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Polymer-coated iron oxide nanoparticles for medical imaging
… describes several formulations for in vivo imaging applications. The paramagnetic polymer-coated iron oxide nanoparticle aminoSPARK is used as a fluorescence-mediated tomography (FMT) imaging agent for stratification of prostate cancer tumors. This is achieved by conjugating it to a peptide …
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Explainable AI in Medical Imaging: An Interdisciplinary Translational Approach
<p>Advances in computer vision and image processing have made a clear impact on many fields, from healthcare diagnostics to autonomous driving. However, as these models become more complex, understanding their decision-making processes has grown increasingly challenging, making explainable AI (XAI) …
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AUTOMATIC PATTERN CLASSIFICATION AND STEREOSCOPIC VISION IN MEDICAL IMAGING
Medical imaging is a generic term used to define the use of medical practices to create images of the human body for clinical purpose. Today it includes a wide range of different techniques and these have greatly enhanced the quantity and quality of information available in the clinical practice. …
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Improving Segmentation Pipelines for Medical Imaging using Deep Learning
… in the clinical workflow is the segmentation of medical imaging, which can be used for a variety of clinical decision-making tasks such as disease diagnosis and treatment response evaluation. Manual segmentation of 3D medical imaging (such as computed tomography (CT) or magnetic resonance imaging …
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Precision constraint of deformable bodies for medical imaging applications
… to submicron levels of movement for biological imaging applications without direct attachment to the skull. A device capable of restricting mouse skull movement to less than a micron in every direction without requiring the rigid attachment of a fixture to the skull would enable studies of bone …
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An analysis of medical imaging costs in military treatment facilities
This joint applied project examines costs of medical imaging within Continental United States military treatment facilities to determine cost effectiveness when compared to civilian facilities and determine whether there are differences among regions of the United States and whether there are …
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Generative methods for image synthesis with applications to medical imaging
… has been significant advancement in the field of medical image synthesis for diagnostic and analytical improvements. Generative methods for image synthesis have been an active area of research in recent years. In this thesis, we explore the use of a hybrid model of generative adversarial networks …
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Medical Imaging Centers in Central Indiana: Optimal Location Allocation Analyses
… industry, thus enhancing quality of life. Medical imaging is a healthcare service which helps to determine medical diagnoses in acute and preventive care settings. It provides physicians with information guiding treatment and returning a patient back to optimal health. In this study, a …
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Deep learning-enabled objective image quality assessment in medical imaging
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Deep Learning for data analysis on specific contexts (Automotive, Medical Imaging)
… A common problem in the automotive and medical imaging domain is related to the studies assessment, which must follow strict protocols devoted to preserving the privacy of users along with their safety. This process has hindered the collection of high-quality datasets, especially in the …
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