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 96 for “"MRI data"”.
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Graphical interface for quantitative monitoring of 3D MRI data
… of medical interventions. In particular, the dGEMRIC technique has been used. Prior dGEMRIC data have been two-dimensional. Magnetic resonance equipment can currently produce three-dimensional dGEMRIC data, but software that analyzes three-dimensional data sets is lacking in practicality. This …
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Graphical interface for quantitative T1 and T2 mapping of MRI data
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Cardiac MRI Data Segmentation Using the Partial Differential Equation of Allen–Cahn Type
The work deals with segmentation of image data using the algo- rithm based on numerical solution of the geometrical evolution partial differen- tial equation of the Allen-Cahn type. This equation has origin in the description of motion by mean curvature and has diffusive character. The diffusion …
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Advanced Methods for Diffusion MRI Data Analysis and their Application to the Healthy Ageing Brain
… diffusion Magnetic Resonance Imaging (dMRI) is a useful tool to infer and study microstructural brain changes in the context of human development, ageing and neuropathology. In this thesis, the state-of-the-art of advanced dMRI techniques is explored and strategies to overcome or reduce …
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Novel image processing and deep learning methods for head and neck cancer delineation from MRI data
… method for head and neck cancer delineation from MRI data are presented. Firstly, a head and neck ALNs segmentation pipeline including pre-processing of MRI data, knowledge-based detection, and extraction of 3D volume of ALNs is presented. Secondly, a 3D HNC delineation via improving detection and …
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Recovery of high-resolution magnetic field distribution inside the brain from limited MRI data using machine learning prior
… field maps in brain magnetic resonance imaging (MRI) scans provide the field distribution information inside the brain which is essential in reconstructing high-quality MR images with no artifacts and distortions. These high-quality images are highly desired in clinical applications. However, the …
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fMRI assessment of ischemic stroke in humans
… main goal of this study is that the functional MRI data can be used to obtain both structural and functional information about lesions in stroke patients. It was hypothesized that the lack of oxygen supply might be directly caused by lower level rate of blood flow, which can be traced by …
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Application of Deep Learning to Brain Connectivity Classification in Large MRI Datasets
… classification of magnetic resonance imaging (MRI) data is of clear interest, both for understanding phenotypic differences in brain structure and function and for diagnostic applications. Developments of deep learning models in the past decade have revolutionized photographic image and speech …
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EVALUATION OF INTERPOLATION AND REGISTRATION TECHNIQUES IN MAGNETIC RESONANCE IMAGE FOR ORTHOGONAL PLANE SUPER RESOLUTION RECONSTRUCTION
… use this concept on magnetic resonance imaging (MRI) data, for which the standard is to scan in several-plane orientation in a 2D fashion. As a result, clinical MRI, functional MRI (FMRI), diffusion weighted imaging (DWI)/diffusion tensor imaging (DTI), and MR angiography (MRA) tend to have high …
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Three dimensional visualization through use of HoloLens
… HoloLens in order to create 3D volumes of MRI data in the form of holograms. The MRI data is taken from heart scans. The goal of this project is to create high resolution images using late gadolinium enhancement (LGE) of myocardial scar. These images would be generated one of two ways: …
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Systematic review of imaging studies in the lateral orbitofrontal circuit in bipolar type I disorder
… published structural magnetic resonance imaging (MRI) data in bipolar type I disorder, looking for any evidence of a change in size of the structures in lateral orbitofrontal circuits relative to the conceptually unaffected motor circuit. Structures in the motor circuit will thus act as an …
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NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS
<p>Magnetic resonance imaging (MRI) is one of the most accurate imaging techniques that can be used to detect several diseases, where other imaging methodologies fail. MRI data takes a longer time to capture. This is a pain taking process for the patients to remain still while the data is being …
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Functional connectivity of the speech network in relation to reading skill in school-age children
… the large scale, open-source longitudinal dataset from the Adolescent Brain and Cognitive Development (ABCD) Study to characterize functionally-defined cortical networks for speech in school-age children and investigate the relationship between speech network connectivity and reading skill …
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Quantification of cardiac magnetic resonance imaging perfusion in the clinical setting at 3T
… (DCE) cardiac magnetic resonance imaging (MRI) is well-established as a non-invasive method for qualitatively detecting obstructive coronary artery disease (CAD) which can impair myocardial blood flow and may result in myocardial infarction. Mathematical modelling of cardiac DCE-MRI data …
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Analysis of dynamic contrast enhanced MRI datasets
… analysis of 4D dynamic contrast enhanced MRI datasets (DCE-MRI) of the habd and wrist relating to rheumatoid arthritis (RA) studies. In DCE-MRI, sequences of images are acquired from the joints over time, during which a contrast agent pre-injected into a patient enhances disease affected …
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Penalized discriminant analysis for multivariate functional data
… analysis method for multivariate functional data supported on compact 1D domains, motivated by an application that aims to identify subjects with poor cognitive status from diffusion MRI data. By leveraging a connection to the optimal scoring problem, we bypass minimizing complex objective …
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A Model-Free Approach for Classification of fMRI Brain Images
… based on functional magnetic resonance imaging (fMRI) data. Classification of subjects into predefined groups, such as patient vs. control, based on their functional MRI data is a potentially useful procedure for ensuring homogeneous research samples and for clinical diagnostic purposes. Unlike …
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Probing the effect of microstructure on water diffusion in engineered or biological materials with MRI
… of muscles. Magnetic Resonance Imaging (MRI) is an effective non-invasive technology for studying water transport in biological or engineered systems, and has been increasingly used to probe water diffusion in muscle. Because of the disparity between the length scales over which diffusion …
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EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA
The growth of big data presents both challenges and opportunities in innovative research. On one hand, big data with a large amount of information makes it possible to answer scientifically interesting and practically relevant questions. On the other hand, the massive sample size, high …
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