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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-case14915726114200322021-08-03T07:01:32Z Partial Volume Quantification Using Magnetic Resonance Fingerprinting Deshmane, Anagha Vishwas Engineering Biomedical Engineering Medical Imaging Radiology magnetic resonance imaging quantitative imaging partial volume absolute quantification proton density mapping subvoxel analysis tissue characterization tissue quantification magnetic resonance fingerprinting Magnetic resonance imaging (MRI) is a key clinical tool which allows for imaging of biological tissues with large field-of-view, millimeter resolution, and good soft tissue contrast, without exposing the patient to ionizing radiation. Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI method which pairs pseudorandom magnetization excitations and fast image acquisition with dictionary-based reconstruction for simultaneous mapping of multiple tissue and experimental properties, including T1, T2, and off-resonance, from a single experiment performed within a clinically feasible scan time. MRF signal evolutions vary in shape for different combinations of encoded properties. Like other quantitative MRI methods, MRF maps yield quantitative maps in which properties are averaged over the voxel dimensions. However, in the presence of partial volumes, voxel-averaged properties are insufficient to quantitatively assess tissue characteristics such as the potential presence of pathology. It is therefore necessary to quantify both tissue properties and voxel composition. The uniqueness of signal evolutions emanating from different tissue types in MRF allows for both tissue property mapping as well as quantification of partial volumes from the same measurement. In this dissertation, two approaches to partial volume quantification by MR Fingerprinting (PV-MRF) are quantitatively assessed for accuracy in the presence of artifacts and model errors. Applications of PV-MRF are also explored, including segmentation of pathology, improved synthetic imaging, and absolute quantification of sub-voxel tissue species. 2017-06-02 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1491572611420032 http://rave.ohiolink.edu/etdc/view?acc_num=case1491572611420032 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Engineering
Biomedical Engineering
Medical Imaging
Radiology
magnetic resonance imaging
quantitative imaging
partial volume
absolute quantification
proton density mapping
subvoxel analysis
tissue characterization
tissue quantification
magnetic resonance fingerprinting
spellingShingle Engineering
Biomedical Engineering
Medical Imaging
Radiology
magnetic resonance imaging
quantitative imaging
partial volume
absolute quantification
proton density mapping
subvoxel analysis
tissue characterization
tissue quantification
magnetic resonance fingerprinting
Deshmane, Anagha Vishwas
Partial Volume Quantification Using Magnetic Resonance Fingerprinting
author Deshmane, Anagha Vishwas
author_facet Deshmane, Anagha Vishwas
author_sort Deshmane, Anagha Vishwas
title Partial Volume Quantification Using Magnetic Resonance Fingerprinting
title_short Partial Volume Quantification Using Magnetic Resonance Fingerprinting
title_full Partial Volume Quantification Using Magnetic Resonance Fingerprinting
title_fullStr Partial Volume Quantification Using Magnetic Resonance Fingerprinting
title_full_unstemmed Partial Volume Quantification Using Magnetic Resonance Fingerprinting
title_sort partial volume quantification using magnetic resonance fingerprinting
publisher Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate 2017
url http://rave.ohiolink.edu/etdc/view?acc_num=case1491572611420032
work_keys_str_mv AT deshmaneanaghavishwas partialvolumequantificationusingmagneticresonancefingerprinting
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