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Towards Fully Automated, Motion-Robust Diffusion-Weighted MRI of the Abdomen- [electronic resource]
Towards Fully Automated, Motion-Robust Diffusion-Weighted MRI of the Abdomen- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101510
- ISBN
- 9798379896966
- DDC
- 616
- 저자명
- Geng, Ruiqi.
- 서명/저자
- Towards Fully Automated, Motion-Robust Diffusion-Weighted MRI of the Abdomen - [electronic resource]
- 발행사항
- [S.l.]: : The University of Wisconsin - Madison., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(117 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
- 주기사항
- Advisor: Hernando, Diego;Reeder, Scott B.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Diffusion-weighted (DW) MRI of the abdomen is utilized clinically in the detection, diagnosis, and treatment monitoring of cancer and non-cancer disease. Despite its enormous potential, poor reproducibility and inefficient clinical workflow of DW imaging remain bottlenecks for rapid, high-value DW-MRI of the abdomen. A central challenge is physiological motion, including cardiac and respiratory motions. As the heart and vessels pulsate, they exert compressive tissue motion in the liver and the pancreas. The compressive tissue motion results in phase variations, leading to signal loss in diffusion-weighted images and bias in quantitative measurements. Furthermore, the slower respiratory motion results in mis-registration among repetitions taken in different phases of the respiratory cycle during free-breathing acquisitions. Inefficient clinical workflow for DW-MRI acquisition remains another technical challenge. Currently, all abdominal DW-MRI scans are prescribed manually by technologists and routinely acquired with respiratory gating. That workflow requires training of technologists and takes a significant portion of the scan time. The resulting prescription can show high inter-operator variation and occasionally insufficient coverage. A fully automated MRI prescription that would cover the whole liver is needed. Besides, although respiratory-triggering DW-MRI acquisition methods can reduce respiration-induced artifacts, these methods lead to poor SNR and unpredictable scan times due to their highly variable effective repetition time, reducing the efficiency of clinical imaging workflows. In contrast, free-breathing methods without triggering enable abdominal DW-MRI with high SNR efficiency and predictable scan times, albeit at the risk of respiration-induced mis-registration. Thus, there is an unmet need for a free-breathing DW-MRI acquisition combined with motion-corrected averaging, to enable high-SNR DW-MRI with predictable scan times and free from motion artifacts. This thesis describes technical innovations to address the aforementioned needs in order to enable fully automated, motion-robust diffusion-weighted MRI of the abdomen. An automated AI-based method for image prescription of liver MRI was developed and evaluated to standardize liver MRI prescription and improve the clinical workflow. Additionally, the cardiovascular motion artifacts was characterized and corrected in a motion phantom and healthy volunteers for pancreas DW-MRI. Finally, motion-robust, free-breathing DW-MRI in the liver was developed using optimized motion-compensated diffusion gradient waveforms and a motion-corrected averaging algorithm.
- 일반주제명
- Medical imaging.
- 일반주제명
- Computer engineering.
- 일반주제명
- Electrical engineering.
- 키워드
- Liver
- 키워드
- MRI
- 키워드
- Pancreas
- 키워드
- Clinical imaging
- 기타저자
- The University of Wisconsin - Madison Medical Physics
- 기본자료저록
- Dissertations Abstracts International. 85-01B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214101510
■006m o d
■007cr#unu||||||||
■020 ▼a9798379896966
■035 ▼a(MiAaPQ)AAI30568155
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aGeng, Ruiqi.
■24510▼aTowards Fully Automated, Motion-Robust Diffusion-Weighted MRI of the Abdomen▼h[electronic resource]
■260 ▼a[S.l.]:▼bThe University of Wisconsin - Madison. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(117 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-01, Section: B.
■500 ▼aAdvisor: Hernando, Diego;Reeder, Scott B.
■5021 ▼aThesis (Ph.D.)--The University of Wisconsin - Madison, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aDiffusion-weighted (DW) MRI of the abdomen is utilized clinically in the detection, diagnosis, and treatment monitoring of cancer and non-cancer disease. Despite its enormous potential, poor reproducibility and inefficient clinical workflow of DW imaging remain bottlenecks for rapid, high-value DW-MRI of the abdomen. A central challenge is physiological motion, including cardiac and respiratory motions. As the heart and vessels pulsate, they exert compressive tissue motion in the liver and the pancreas. The compressive tissue motion results in phase variations, leading to signal loss in diffusion-weighted images and bias in quantitative measurements. Furthermore, the slower respiratory motion results in mis-registration among repetitions taken in different phases of the respiratory cycle during free-breathing acquisitions. Inefficient clinical workflow for DW-MRI acquisition remains another technical challenge. Currently, all abdominal DW-MRI scans are prescribed manually by technologists and routinely acquired with respiratory gating. That workflow requires training of technologists and takes a significant portion of the scan time. The resulting prescription can show high inter-operator variation and occasionally insufficient coverage. A fully automated MRI prescription that would cover the whole liver is needed. Besides, although respiratory-triggering DW-MRI acquisition methods can reduce respiration-induced artifacts, these methods lead to poor SNR and unpredictable scan times due to their highly variable effective repetition time, reducing the efficiency of clinical imaging workflows. In contrast, free-breathing methods without triggering enable abdominal DW-MRI with high SNR efficiency and predictable scan times, albeit at the risk of respiration-induced mis-registration. Thus, there is an unmet need for a free-breathing DW-MRI acquisition combined with motion-corrected averaging, to enable high-SNR DW-MRI with predictable scan times and free from motion artifacts. This thesis describes technical innovations to address the aforementioned needs in order to enable fully automated, motion-robust diffusion-weighted MRI of the abdomen. An automated AI-based method for image prescription of liver MRI was developed and evaluated to standardize liver MRI prescription and improve the clinical workflow. Additionally, the cardiovascular motion artifacts was characterized and corrected in a motion phantom and healthy volunteers for pancreas DW-MRI. Finally, motion-robust, free-breathing DW-MRI in the liver was developed using optimized motion-compensated diffusion gradient waveforms and a motion-corrected averaging algorithm.
■590 ▼aSchool code: 0262.
■650 4▼aMedical imaging.
■650 4▼aComputer engineering.
■650 4▼aElectrical engineering.
■653 ▼aLiver
■653 ▼aNon-cancer disease
■653 ▼aMRI
■653 ▼aPancreas
■653 ▼aDiffusion-weighted
■653 ▼aClinical imaging
■690 ▼a0574
■690 ▼a0544
■690 ▼a0464
■71020▼aThe University of Wisconsin - Madison▼bMedical Physics.
■7730 ▼tDissertations Abstracts International▼g85-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0262
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16933948▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
