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Physiological Fluid Structure Acoustic Interaction (FSAI) study for pulsatile blood flow in fusiform-shaped Abdominal Aortic Aneurysm (AAA) with varying height H todiameter D ratios (H/D = 0.3, 0.5, 0.7, 1.0 and 1.2) and width W to diameter D ratios (W/D = 0.5 and 1) is performed at Womersley’s number Wo = 16.5. Using an in-house FSAI solver, the presence of abnormal sounds/murmurs is demonstrated for the first time in the literature using Integrated Pressure Force Rate (IPFR), which is a qualitative indicator of actual acoustic signal. For diagnosis of the severity of an aneurysm, the present work attempts to analyze the variation of rupture risk (required for planning treatment strategy) and the actual acoustic signal. It is observed that geometries with H/D \(\ge \) 0.7 lead to Rupture Potential Index (RPI) \(\ge \) 0.3 which is considered critical. Using the data of RPI and cut-off frequency \(f_b\) for acoustic epidermal velocity \(v'\) FFT-spectrum, a nonlinear relation is proposed to calculate rupture risk directly through cut-off frequency data. Thus, the current work establishes the efficacy of stethoscope-based AAA diagnosis to assist medical practitioners in planning treatment strategy.

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Fluid Structure Acoustic Interaction for Phonoangiography-Based Diagnosis and Rupture Prediction of Abdominal Aortic Aneurysm

  • 会议论文

  • 发表日期：

    2025年

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  • Sumant R. Morab,
  • Janani S. Murallidharan,
  • Atul Sharma

摘要

Physiological Fluid Structure Acoustic Interaction (FSAI) study for pulsatile blood flow in fusiform-shaped Abdominal Aortic Aneurysm (AAA) with varying height H todiameter D ratios (H/D = 0.3, 0.5, 0.7, 1.0 and 1.2) and width W to diameter D ratios (W/D = 0.5 and 1) is performed at Womersley’s number Wo = 16.5. Using an in-house FSAI solver, the presence of abnormal sounds/murmurs is demonstrated for the first time in the literature using Integrated Pressure Force Rate (IPFR), which is a qualitative indicator of actual acoustic signal. For diagnosis of the severity of an aneurysm, the present work attempts to analyze the variation of rupture risk (required for planning treatment strategy) and the actual acoustic signal. It is observed that geometries with H/D \(\ge \) 0.7 lead to Rupture Potential Index (RPI) \(\ge \) 0.3 which is considered critical. Using the data of RPI and cut-off frequency \(f_b\) for acoustic epidermal velocity \(v'\) FFT-spectrum, a nonlinear relation is proposed to calculate rupture risk directly through cut-off frequency data. Thus, the current work establishes the efficacy of stethoscope-based AAA diagnosis to assist medical practitioners in planning treatment strategy.