A Pipeline for Zoomed Fetal MRI

Fetal Magnetic Resonance Imaging (MRI) is heavily constrained by unpredictable and substantial fetal motion that causes image artifacts and limits the set of viable diagnostic image contrasts. Fast, single-shot MRI of the fetal brain, such as HASTE, is a commonly applied acquisition method to mitiga...

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Bibliographic Details
Main Author: Zhang, Molin
Other Authors: Adalsteinsson, Elfar
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/139286
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author Zhang, Molin
author2 Adalsteinsson, Elfar
author_facet Adalsteinsson, Elfar
Zhang, Molin
author_sort Zhang, Molin
collection MIT
description Fetal Magnetic Resonance Imaging (MRI) is heavily constrained by unpredictable and substantial fetal motion that causes image artifacts and limits the set of viable diagnostic image contrasts. Fast, single-shot MRI of the fetal brain, such as HASTE, is a commonly applied acquisition method to mitigate artifacts from fetal motion by imaging over a sub-second timeframe per slice. For this application, although the fetal brain of interest is only a small fraction of the total field of view across the gravid abdomen, conventional slice-selective excitation followed by Cartesian sampling carries significant overhead in encoding time, which could be reduced with restricted slice RF excitation. In this thesis, we propose a pipeline to exploit novel zoomed or restricted slice RF excitation for imaging for fetal MRI with benefits that include the mitigation of motion artifacts, reduced RF power deposition, and shorter overall scan time. The three dominant contributions of this thesis are 1) a model for fetal pose estimation which benefits the tracking of ROI; 2) selective excitation design which aims at exciting only the ROI for zoomed imaging and 3) a model for post-processing to improve the SNR; which taken together open new possibilities for improved MRI in pregnancy.
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spelling mit-1721.1/1392862022-01-15T04:09:08Z A Pipeline for Zoomed Fetal MRI Zhang, Molin Adalsteinsson, Elfar Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Fetal Magnetic Resonance Imaging (MRI) is heavily constrained by unpredictable and substantial fetal motion that causes image artifacts and limits the set of viable diagnostic image contrasts. Fast, single-shot MRI of the fetal brain, such as HASTE, is a commonly applied acquisition method to mitigate artifacts from fetal motion by imaging over a sub-second timeframe per slice. For this application, although the fetal brain of interest is only a small fraction of the total field of view across the gravid abdomen, conventional slice-selective excitation followed by Cartesian sampling carries significant overhead in encoding time, which could be reduced with restricted slice RF excitation. In this thesis, we propose a pipeline to exploit novel zoomed or restricted slice RF excitation for imaging for fetal MRI with benefits that include the mitigation of motion artifacts, reduced RF power deposition, and shorter overall scan time. The three dominant contributions of this thesis are 1) a model for fetal pose estimation which benefits the tracking of ROI; 2) selective excitation design which aims at exciting only the ROI for zoomed imaging and 3) a model for post-processing to improve the SNR; which taken together open new possibilities for improved MRI in pregnancy. S.M. 2022-01-14T15:01:34Z 2022-01-14T15:01:34Z 2021-06 2021-06-24T19:43:11.737Z Thesis https://hdl.handle.net/1721.1/139286 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Zhang, Molin
A Pipeline for Zoomed Fetal MRI
title A Pipeline for Zoomed Fetal MRI
title_full A Pipeline for Zoomed Fetal MRI
title_fullStr A Pipeline for Zoomed Fetal MRI
title_full_unstemmed A Pipeline for Zoomed Fetal MRI
title_short A Pipeline for Zoomed Fetal MRI
title_sort pipeline for zoomed fetal mri
url https://hdl.handle.net/1721.1/139286
work_keys_str_mv AT zhangmolin apipelineforzoomedfetalmri
AT zhangmolin pipelineforzoomedfetalmri