Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
模态无关、患者特异性的数字双胞胎建模时变消化运动
机构 * Computer and Information Science, Cornell University(康奈尔大学计算机与信息科学系) ; Department of Medical Physics, Memorial Sloan Kettering Cancer Center(纪念斯隆凯特琳癌症中心医学物理系) ; University Medical Center Utrecht(乌得勒支大学医学中心) ; Department of Radiation Physics, University of Texas MD Anderson Cancer Center(德克萨斯大学MD安德森癌症中心放射物理系) ; Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Duke University Medical Center(杜克大学医学中心卡尔·E·拉文高级影像实验室和虚拟影像试验中心) ; Department of Radiation Oncology, University of Michigan(密歇根大学放射肿瘤学系)
AI总结 本文提出一种模态无关的患者特异性数字双胞胎建模方法,用于评估变形图像配准方法的准确性,通过生成21个运动阶段的4D序列,评估DIR方法的性能。
Comments This work is still review, it contains 7 Pages, 6 figures, and 4 tables
Journal ref Phys. Med. Biol. 71 (2026) 015029