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Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI./
作者:	Wang, Pingni.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	165 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28719976
ISBN:	9798538113910

Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI.
Wang, Pingni.

Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 165 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.

This item must not be sold to any third party vendors.

Breast cancer is one of the most common diseases for the female population across all ages and is one of the most common causes of cancer death in females. MRI of the breast has been shown to provide very high sensitivity for breast cancer, primarily due to the use of intravenous contrast agents that enable only morphologic evaluation but also the ability to visualize neoangiogenesis associated with tumor progression. Therefore, DCE-MRI is a powerful tool for diagnostic screening, evaluation for extent of disease, and treatment planning and monitoring. However, conventional Cartesian acquisition requires a tradeoff between spatial and temporal resolution. The lesion curves measured from conventional DCE-MRI with high spatial resolution, but low temporal resolution imaging protocols are not sufficient to characterize the contrast dynamics resulting in only moderate specificity for characterizing different lesion types.With recent advances in MRI, many studies have proposed advanced acquisition and reconstruction approaches to achieve high temporal resolution while still maintaining clinically relevant spatial resolution. In this work, we propose the use of a stack-of-stars radial acquisition with a compressed sensing reconstruction for high spatial-temporal resolution breast DCE-MRI. The goal of this thesis is to evaluate the spatial and temporal performance of the proposed approach under a broader range of imaging conditions (including the presence of cardiac and respiratory motion, varying tissue contrast kinetics, and different noise levels) to characterize the performance limits. Further, there is a need to validate the accuracy and robustness of quantitative pharmacokinetic parameter estimation using the proposed technique if this approach is to be used for quantitative DCE in clinical practice.

ISBN: 9798538113910Subjects--Topical Terms:

3172799
Medical imaging.
Subjects--Index Terms:

Imaging processing

Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI.
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245 1 0 $a Accelerated Radial Imaging with Compressed Sensing Reconstruction for Breast DCE-MRI.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 165 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 $a Advisor: Block, Walter F.;Holmes, James H.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Breast cancer is one of the most common diseases for the female population across all ages and is one of the most common causes of cancer death in females. MRI of the breast has been shown to provide very high sensitivity for breast cancer, primarily due to the use of intravenous contrast agents that enable only morphologic evaluation but also the ability to visualize neoangiogenesis associated with tumor progression. Therefore, DCE-MRI is a powerful tool for diagnostic screening, evaluation for extent of disease, and treatment planning and monitoring. However, conventional Cartesian acquisition requires a tradeoff between spatial and temporal resolution. The lesion curves measured from conventional DCE-MRI with high spatial resolution, but low temporal resolution imaging protocols are not sufficient to characterize the contrast dynamics resulting in only moderate specificity for characterizing different lesion types.With recent advances in MRI, many studies have proposed advanced acquisition and reconstruction approaches to achieve high temporal resolution while still maintaining clinically relevant spatial resolution. In this work, we propose the use of a stack-of-stars radial acquisition with a compressed sensing reconstruction for high spatial-temporal resolution breast DCE-MRI. The goal of this thesis is to evaluate the spatial and temporal performance of the proposed approach under a broader range of imaging conditions (including the presence of cardiac and respiratory motion, varying tissue contrast kinetics, and different noise levels) to characterize the performance limits. Further, there is a need to validate the accuracy and robustness of quantitative pharmacokinetic parameter estimation using the proposed technique if this approach is to be used for quantitative DCE in clinical practice.
590 $a School code: 0262.
650 4 $a Medical imaging. $3 3172799
650 4 $a Standard deviation. $3 3560390
650 4 $a Plasma. $3 877619
650 4 $a Mammography. $3 832932
650 4 $a Lymphatic system. $3 3685740
650 4 $a Coronary vessels. $3 3680599
650 4 $a Magnetic resonance imaging. $3 554355
650 4 $a Biopsy. $3 1360224
650 4 $a Pharmacokinetics. $3 550960
650 4 $a Kinetics. $3 717752
650 4 $a Noise. $3 598816
650 4 $a Tumors. $3 893964
650 4 $a Visualization. $3 586179
650 4 $a Volunteers. $3 859998
650 4 $a Ultrasonic imaging. $3 828386
650 4 $a Breast cancer. $3 3543523
650 4 $a Angiogenesis. $3 3561733
650 4 $a Parameter estimation. $3 567557
653 $a Imaging processing
653 $a Imaging reconstruction
653 $a MRI
653 $a High temporal resolution
690 $a 0574
710 2 $a The University of Wisconsin - Madison. $b Medical Physics. $3 2097834
773 0 $t Dissertations Abstracts International $g 83-03B.
790 $a 0262
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28719976