Application of Data-Driven computing to patient-specific prediction of the viscoelastic response of human brain under transcranial ultrasound stimulation

IF 3 3区医学 Q2 BIOPHYSICS

Biomechanics and Modeling in Mechanobiology Pub Date : 2024-03-19 DOI:10.1007/s10237-024-01830-w

Hossein Salahshoor, Michael Ortiz

引用次数: 0

Abstract

We present a class of model-free Data-Driven solvers that effectively enable the utilization of in situ and in vivo imaging data directly in full-scale calculations of the mechanical response of the human brain to sonic and ultrasonic stimulation, entirely bypassing the need for analytical modeling or regression of the data. The well-posedness of the approach and its convergence with respect to data are proven analytically. We demonstrate the approach, including its ability to make detailed spatially resolved patient-specific predictions of wave patterns, using public-domain MRI images, MRE data and commercially available solid-mechanics software.

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将数据驱动计算应用于经颅超声刺激下人脑粘弹性反应的患者特异性预测。

我们提出了一类无模型的数据驱动求解器，它能有效地将原位和活体成像数据直接用于人脑对声波和超声波刺激的机械响应的全尺度计算，完全绕过了对数据进行分析建模或回归的需要。通过分析证明了该方法的良好假设性及其与数据的收敛性。我们利用公共域核磁共振成像图像、MRE 数据和市面上的固体力学软件演示了该方法，包括其对特定患者波形进行详细空间解析预测的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biomechanics and Modeling in Mechanobiology 工程技术-工程：生物医学

CiteScore

7.10

自引率

8.60%

发文量

119

审稿时长

6 months

期刊介绍： Mechanics regulates biological processes at the molecular, cellular, tissue, organ, and organism levels. A goal of this journal is to promote basic and applied research that integrates the expanding knowledge-bases in the allied fields of biomechanics and mechanobiology. Approaches may be experimental, theoretical, or computational; they may address phenomena at the nano, micro, or macrolevels. Of particular interest are investigations that (1) quantify the mechanical environment in which cells and matrix function in health, disease, or injury, (2) identify and quantify mechanosensitive responses and their mechanisms, (3) detail inter-relations between mechanics and biological processes such as growth, remodeling, adaptation, and repair, and (4) report discoveries that advance therapeutic and diagnostic procedures. Especially encouraged are analytical and computational models based on solid mechanics, fluid mechanics, or thermomechanics, and their interactions; also encouraged are reports of new experimental methods that expand measurement capabilities and new mathematical methods that facilitate analysis.