变形(气象学)
计算机科学
计算机视觉
人工智能
图像配准
地质学
图像(数学)
海洋学
作者
Xiaojun Chen,Hu Pingping,Junfeng Wang,Xiaojun Chen
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-14
标识
DOI:10.1109/tbme.2024.3386704
摘要
Intraoperative liver deformation poses a considerable challenge during liver surgery, causing significant errors in image-guided surgical navigation systems. This study addresses a critical non-rigid registration problem in liver surgery: the alignment of intrahepatic vascular trees. The goal is to deform the complete vascular shape extracted from preoperative Computed Tomography (CT) volume, aligning it with sparse vascular contour points obtained from intraoperative ultrasound (iUS) images. Challenges arise due to the intricate nature of slender vascular branches, causing existing methods to struggle with accuracy and vascular self-intersection.
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