微血管的几何构型与力学特性,对肿瘤、糖尿病等疾病的早期诊断有参考价值。但目前缺少能在真值已知的条件下,系统验证成像与粘弹性反演算法的仿真平台。我搭建了光声(PA)与剪切波(SW)双模态联合仿真框架,在受控条件下评估这些算法的表现。
The geometry and mechanics of microvessels carry information for early diagnosis of diseases such as cancer and diabetes, yet there is no simulation platform that can systematically test imaging and viscoelastic inversion algorithms against a known ground truth. I built a joint photoacoustic (PA) and shear-wave (SW) simulation framework to evaluate these algorithms under controlled conditions.