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In-Vivo Quantitative Ultrasound Scattering Measurements of Liver Steatosis Using Regularized Methods
In-Vivo Quantitative Ultrasound Scattering Measurements of Liver Steatosis Using Regularized Methods
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105143
- ISBN
- 9798293816408
- DDC
- 616
- 서명/저자
- In-Vivo Quantitative Ultrasound Scattering Measurements of Liver Steatosis Using Regularized Methods
- 발행사항
- [Sl] : The University of Wisconsin - Madison, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 198 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Hall, Timothy J.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2025.
- 초록/해제
- 요약Steatotic liver disease (SLD), a condition characterized by hepatic lipid accumulation and metabolic dyfunction, presents a growing global health concern due to its increasing prevalence and potential progression to cirrhosis and hepatocellular carcinoma. While the current standard for liver fat quantification, MRI proton density fat fraction (PDFF), has demonstrated accuracy and reproducibility, the projected global prevalence of SLD is expected to reach 55.4% by 2040, indicating the need for multiple diagnostic tools. Conventional ultrasound (CUS), though commonly used for steatosis assessment, is limited by system and operator variability and poor sensitivity to detect mild steatosis from normal. This dissertation investigates quantitative ultrasound (QUS) techniques to address the need for objective liver tissue characterization. Central to this work is the development and optimization of the ALGEBRA algorithm, a regularized least squares framework for estimating total acoustic attenuation and backscatter coefficients. A key barrier to widespread implementation of ALGEBRA is the selection of regularization coefficients and understanding their impact on algorithm performance. This work presents a framework for optimizing these weights using simulated, tissue-mimicking phantom, and in-vivo datasets, with particular attention to robustness in the presence of acoustic aberration, a common challenge for abdominal ultrasound imaging. To support this framework, a simulation method was developed to incorporate frequency dependent scattering properties of media with defined scatterer sizes. Additionally, a clutter generating phantom material (CGPM) was tuned to mimic the acoustic properties of the abdominal wall and used to induce aberration in phantom experiments. Following regularization coefficient optimization, ALGEBRA was compared to three conventional algorithms in terms of accuracy and precision across the simulation, phantom, and CGPM data sets. Subsequently, data from human subjects undergoing bariatric surgery were analyzed. As this cohort included obese and morbidly obese individuals, it presented a challenging cohort for ultrasound imaging. Statistical analyses, including ANOVA and receiver operating characteristic (ROC) curve evaluations, demonstrated that optimized ALGEBRA scattering parameters improved differentiation between normal and mild steatosis compared to a conventional method, a current limitation of B-mode ultrasound. This work advances the field of QUS by optimizing and quantifying the performance of a novel algorithmic approach for liver tissue characterization.
- 일반주제명
- Medical imaging
- 일반주제명
- Biomedical engineering
- 일반주제명
- Acoustics
- 기타저자
- The University of Wisconsin - Madison Medical Physics
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
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■020 ▼a9798293816408
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aWhitson, Hayley M.
■24510▼aIn-Vivo Quantitative Ultrasound Scattering Measurements of Liver Steatosis Using Regularized Methods
■260 ▼a[Sl]▼bThe University of Wisconsin - Madison▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a198 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Hall, Timothy J.
■5021 ▼aThesis (Ph.D.)--The University of Wisconsin - Madison, 2025.
■520 ▼aSteatotic liver disease (SLD), a condition characterized by hepatic lipid accumulation and metabolic dyfunction, presents a growing global health concern due to its increasing prevalence and potential progression to cirrhosis and hepatocellular carcinoma. While the current standard for liver fat quantification, MRI proton density fat fraction (PDFF), has demonstrated accuracy and reproducibility, the projected global prevalence of SLD is expected to reach 55.4% by 2040, indicating the need for multiple diagnostic tools. Conventional ultrasound (CUS), though commonly used for steatosis assessment, is limited by system and operator variability and poor sensitivity to detect mild steatosis from normal. This dissertation investigates quantitative ultrasound (QUS) techniques to address the need for objective liver tissue characterization. Central to this work is the development and optimization of the ALGEBRA algorithm, a regularized least squares framework for estimating total acoustic attenuation and backscatter coefficients. A key barrier to widespread implementation of ALGEBRA is the selection of regularization coefficients and understanding their impact on algorithm performance. This work presents a framework for optimizing these weights using simulated, tissue-mimicking phantom, and in-vivo datasets, with particular attention to robustness in the presence of acoustic aberration, a common challenge for abdominal ultrasound imaging. To support this framework, a simulation method was developed to incorporate frequency dependent scattering properties of media with defined scatterer sizes. Additionally, a clutter generating phantom material (CGPM) was tuned to mimic the acoustic properties of the abdominal wall and used to induce aberration in phantom experiments. Following regularization coefficient optimization, ALGEBRA was compared to three conventional algorithms in terms of accuracy and precision across the simulation, phantom, and CGPM data sets. Subsequently, data from human subjects undergoing bariatric surgery were analyzed. As this cohort included obese and morbidly obese individuals, it presented a challenging cohort for ultrasound imaging. Statistical analyses, including ANOVA and receiver operating characteristic (ROC) curve evaluations, demonstrated that optimized ALGEBRA scattering parameters improved differentiation between normal and mild steatosis compared to a conventional method, a current limitation of B-mode ultrasound. This work advances the field of QUS by optimizing and quantifying the performance of a novel algorithmic approach for liver tissue characterization.
■590 ▼aSchool code: 0262.
■650 4▼aMedical imaging
■650 4▼aBiomedical engineering
■650 4▼aAcoustics
■653 ▼aAcoustic aberration
■653 ▼aQuantitative ultrasound
■653 ▼aRegularized methods
■653 ▼aSteatotic liver disease
■653 ▼aProton density fat fraction
■690 ▼a0574
■690 ▼a0541
■690 ▼a0986
■71020▼aThe University of Wisconsin - Madison▼bMedical Physics.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0262
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359590▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
