Numerical Simulations for Calibration Setup for Dynamic Contrast-Enhanced Ultrasonography Imaging Protocol.

IF 2.2 4区医学 Q3 ENGINEERING, BIOMEDICAL

International Journal for Numerical Methods in Biomedical Engineering Pub Date : 2024-12-01 Epub Date: 2024-11-09 DOI:10.1002/cnm.3885

Abderahmane Marouf, Ahmed G Rahma, Isaline Hoferer, Charly Girot, Stephanie Pitre-Champagnat, Yannick Hoarau

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引用次数: 0

Abstract

This study presents an investigation of an innovative microfluidic flow separator using both numerical and experimental approaches to calibrate contrast-enhanced ultrasound scanners. Numerical simulations were conducted using Lagrangian particles tracking and passive scalar transport methodologies using the OpenFOAM software. The experimental validation confirmed the accuracy of the numerical simulations, particularly at an imposed total pressure of $0.7 P_{0}$ , showing an excellent agreement in particle distributions. The study emphasizes the computational efficiency and modeling of passive scalar transport, providing valuable understanding into the behavior of scalar quantities in microfluidic systems. An optimized diffusion coefficient value of $10^{- 7} m^{2} s^{- 1}$ was identified, showing its critical role in achieving accurate simulation results and optimizing the performance of microfluidic flow separators for contrast-enhanced ultrasound scanner calibration.

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动态对比增强超声成像协议校准设置的数值模拟。

本研究采用数值和实验方法对创新型微流体流动分离器进行了研究，以校准对比增强超声扫描仪。使用 OpenFOAM 软件的拉格朗日粒子跟踪和被动标量传输方法进行了数值模拟。实验验证证实了数值模拟的准确性，特别是在施加的总压力为 0.7 P 0 $$ 0.7\ {P}_0 $$ 时，显示出粒子分布的极佳一致性。这项研究强调了被动标量传输的计算效率和建模，为了解微流控系统中标量的行为提供了宝贵的资料。研究确定了扩散系数的优化值为 10 - 7 m 2 s - 1 $$ {10}^{-7}\ {m}^2\ {s}^{-1} $$，这表明扩散系数对获得精确的模拟结果和优化微流控分离器的性能至关重要，可用于对比增强超声扫描仪的校准。

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来源期刊

International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY

CiteScore

4.50

自引率

9.50%

发文量

103

审稿时长

3 months

期刊介绍： All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.