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Predicting and Monitoring Histotripsy Damage With Acoustic Cavitation Emission Signals
Predicting and Monitoring Histotripsy Damage With Acoustic Cavitation Emission Signals
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105222
- ISBN
- 9798291566305
- DDC
- 610
- 저자명
- Haskell, Scott.
- 서명/저자
- Predicting and Monitoring Histotripsy Damage With Acoustic Cavitation Emission Signals
- 발행사항
- [Sl] : University of Michigan, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 159 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Sukovich, Jonathan;Xu, Zhen.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2025.
- 초록/해제
- 요약This dissertation outlines the work performed to establish acoustic signal acquisition and analysis techniques to predict the relationship between histotripsy dose and the degree of mechanically-induced tissue disruption. As the applications of histotripsy become more diverse, targeting new cancers and other pathologies, having tools to measure the degree of induced-damage will be important to assist in establishing treatment standards across tissue-types and patient populations. Currently, clinical histotripsy procedures are monitored with b-mode ultrasound to visualize the presence of cavitation activity and localize it spatially. However, b-mode ultrasound does not offer sufficient resolution to measure the intensity of the induced damage. Several alternatives have demonstrated varying levels of effectiveness at the pre-clinical level (e.g. shear-wave elastography, MRI, PAM/PCI), but the need for a robust method to monitor histotripsy-induced damage remains.In Chapter 2, several features of Acoustic Cavitation Emission (ACE) signals were investigated for trends that corresponded with bubble dynamics in tissue mimicking hydrogels. Three types and stiffnesses of hydrogels were exposed to repeated histotripsy-generated cavitation at single-focal-point targets, and the ACE-signals following each pulse were recorded. Bubble dynamics were recorded with high-speed (300kHz) optical imaging. Trends in bubble lifespan, nucleation & collapse shockwave amplitude, rebound characteristics, and broadband noise were all investigated as potential features to analyze for correlation with histotripsy exposure (pulses-per-location, ppl) and bubble dynamics (radius vs. time, radiusmax).In Chapter 3, ACE signal features identified from the previous chapter are compared against histological assessments of mechanically-induced tissue disruption in ex vivo tissue targets. Bulk histotripsy ablations (1.3cm cube) were performed in several types of ex-vivo bovine tissue (liver, kidney, brain), and the corresponding ACE signals were recorded throughout treatment and analyzed. Treated tissue samples were stained using hematoxylin and eosin (H&E) staining, and damage outcomes in the ablation zones were scored by a board-certified pathologist. Trends in normalized bubble lifespan assessed from the ACE signals correlated well with necrosis score.In Chapter 4, an automated technique for the quantification of mechanical tissue-disruption from scans of H&E histology is proposed. It functions in two parts: first, the nuclei identification/filtering, and second, the masking of the tissue-area affected by mechanical disruption. These two parts are used to calculate a normalized nuclei density, as a measure of mechanically-induced tissue disruption. Assessments of H&E histology of histotripsy ablations of ex-vivo bovine tissues by the automated tool correlated well with the quantified assessments by a board-certified pathologist. Chapter 5 describes the application of the previously described ACE-signal feedback techniques to histotripsy ablations performed on in-vivo tissues. Bulk ablations were performed in in-vivo porcine livers and several types of murine tumor models. ACE signals were recorded and analyzed for the features of the bubble dynamics. Following exposure, the animals were euthanized, and the ablation regions were extracted, fixed, H&E stained, and quantified using the methods described in Chapter 4. ACE-signals trends from each of the measured tissues/tumor types are presented, as well as correlations between ACE and H&E based assessments of damage.In Chapter 6, the parameters for efficient (i.e. greatest mL / minute) ablation of large volume clots in an in vitro intracerebral hemorrhage (ICH) model are investigated, along with the potential efficacy of ACE-signal feedback for transcranial applications. A range of pulse-repetition-frequencies (PRF) and pulses-per-location (ppl) within the steering volume were applied to generate 4cm diameter spherical lesions in a transcranial hematoma model. Then, the degree of damage was measured as the liquid volume that could be extracted with a syringe attached to a ventriculostomy catheter from the phantom after histotripsy exposure. Following the identification of the optimal PRF/ppl pair with the greatest ablation efficiency (i.e. mL / minute), that histotripsy protocol was applied to clots of variable age (i.e. stiffness) to assess their efficacy in clots with varying viscoelastic properties. Ablation rate and ACE-signal feedback-predictions were correlated against clot stiffness.Chapter 7 is a summary of the primary findings of this dissertation and potential future work for the improvement and/or expansion of ACE-signal based feedback for histotripsy ablation.
- 일반주제명
- Biomedical engineering
- 일반주제명
- Histology
- 일반주제명
- Health sciences
- 일반주제명
- Acoustics
- 키워드
- Histotripsy
- 기타저자
- University of Michigan Biomedical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■1001 ▼aHaskell, Scott.
■24510▼aPredicting and Monitoring Histotripsy Damage With Acoustic Cavitation Emission Signals
■260 ▼a[Sl]▼bUniversity of Michigan▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a159 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Sukovich, Jonathan;Xu, Zhen.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2025.
■520 ▼aThis dissertation outlines the work performed to establish acoustic signal acquisition and analysis techniques to predict the relationship between histotripsy dose and the degree of mechanically-induced tissue disruption. As the applications of histotripsy become more diverse, targeting new cancers and other pathologies, having tools to measure the degree of induced-damage will be important to assist in establishing treatment standards across tissue-types and patient populations. Currently, clinical histotripsy procedures are monitored with b-mode ultrasound to visualize the presence of cavitation activity and localize it spatially. However, b-mode ultrasound does not offer sufficient resolution to measure the intensity of the induced damage. Several alternatives have demonstrated varying levels of effectiveness at the pre-clinical level (e.g. shear-wave elastography, MRI, PAM/PCI), but the need for a robust method to monitor histotripsy-induced damage remains.In Chapter 2, several features of Acoustic Cavitation Emission (ACE) signals were investigated for trends that corresponded with bubble dynamics in tissue mimicking hydrogels. Three types and stiffnesses of hydrogels were exposed to repeated histotripsy-generated cavitation at single-focal-point targets, and the ACE-signals following each pulse were recorded. Bubble dynamics were recorded with high-speed (300kHz) optical imaging. Trends in bubble lifespan, nucleation & collapse shockwave amplitude, rebound characteristics, and broadband noise were all investigated as potential features to analyze for correlation with histotripsy exposure (pulses-per-location, ppl) and bubble dynamics (radius vs. time, radiusmax).In Chapter 3, ACE signal features identified from the previous chapter are compared against histological assessments of mechanically-induced tissue disruption in ex vivo tissue targets. Bulk histotripsy ablations (1.3cm cube) were performed in several types of ex-vivo bovine tissue (liver, kidney, brain), and the corresponding ACE signals were recorded throughout treatment and analyzed. Treated tissue samples were stained using hematoxylin and eosin (H&E) staining, and damage outcomes in the ablation zones were scored by a board-certified pathologist. Trends in normalized bubble lifespan assessed from the ACE signals correlated well with necrosis score.In Chapter 4, an automated technique for the quantification of mechanical tissue-disruption from scans of H&E histology is proposed. It functions in two parts: first, the nuclei identification/filtering, and second, the masking of the tissue-area affected by mechanical disruption. These two parts are used to calculate a normalized nuclei density, as a measure of mechanically-induced tissue disruption. Assessments of H&E histology of histotripsy ablations of ex-vivo bovine tissues by the automated tool correlated well with the quantified assessments by a board-certified pathologist. Chapter 5 describes the application of the previously described ACE-signal feedback techniques to histotripsy ablations performed on in-vivo tissues. Bulk ablations were performed in in-vivo porcine livers and several types of murine tumor models. ACE signals were recorded and analyzed for the features of the bubble dynamics. Following exposure, the animals were euthanized, and the ablation regions were extracted, fixed, H&E stained, and quantified using the methods described in Chapter 4. ACE-signals trends from each of the measured tissues/tumor types are presented, as well as correlations between ACE and H&E based assessments of damage.In Chapter 6, the parameters for efficient (i.e. greatest mL / minute) ablation of large volume clots in an in vitro intracerebral hemorrhage (ICH) model are investigated, along with the potential efficacy of ACE-signal feedback for transcranial applications. A range of pulse-repetition-frequencies (PRF) and pulses-per-location (ppl) within the steering volume were applied to generate 4cm diameter spherical lesions in a transcranial hematoma model. Then, the degree of damage was measured as the liquid volume that could be extracted with a syringe attached to a ventriculostomy catheter from the phantom after histotripsy exposure. Following the identification of the optimal PRF/ppl pair with the greatest ablation efficiency (i.e. mL / minute), that histotripsy protocol was applied to clots of variable age (i.e. stiffness) to assess their efficacy in clots with varying viscoelastic properties. Ablation rate and ACE-signal feedback-predictions were correlated against clot stiffness.Chapter 7 is a summary of the primary findings of this dissertation and potential future work for the improvement and/or expansion of ACE-signal based feedback for histotripsy ablation.
■590 ▼aSchool code: 0127.
■650 4▼aBiomedical engineering
■650 4▼aHistology
■650 4▼aHealth sciences
■650 4▼aAcoustics
■653 ▼aHistotripsy
■653 ▼aDamage monitoring
■653 ▼aAcoustic Cavitation Emission
■653 ▼aAcoustic signal acquisition
■653 ▼aTranscranial hematoma model
■690 ▼a0541
■690 ▼a0566
■690 ▼a0414
■690 ▼a0986
■71020▼aUniversity of Michigan▼bBiomedical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359835▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
