Baegert Claire, Villard Caroline, Schreck Pascal, Soler Luc, Gangi Afshin
LSIIT (UMR 7005 CNRS), Université Louis Pasteur Strasbourg I, Illkirch, France.
Comput Aided Surg. 2007 Mar;12(2):82-90. doi: 10.3109/10929080701312000.
Radiofrequency ablation is increasingly used in the treatment of hepatic tumors. Planning the percutaneous intervention is essential and particularly difficult. In this paper, we focus on an automated computation of optimal needle insertion in computer-assisted surgery with 3D visualization. First, we review our method which delineates on the skin of a virtual patient the candidate zones for needle insertion, i.e., those which allow safe access to the tumor. In each case, we look for the trajectory that minimizes the volume of burnt tissue. Secondly, we introduce a quasi-exhaustive method that allies sampling and certified minimization to form a strong argument for the accuracy of our results. We also compare results of applying both methods on 7 representative reconstructed patient cases.
射频消融在肝肿瘤治疗中的应用日益广泛。规划经皮介入治疗至关重要且极具难度。在本文中，我们专注于在具有三维可视化的计算机辅助手术中自动计算最佳进针位置。首先，我们回顾我们的方法，该方法在虚拟患者的皮肤上勾勒出进针的候选区域，即那些能够安全抵达肿瘤的区域。在每种情况下，我们寻找使灼烧组织体积最小化的轨迹。其次，我们引入一种准穷举方法，该方法将采样与经过验证的最小化相结合，为我们结果的准确性提供有力论据。我们还比较了将这两种方法应用于7个具有代表性的重建患者病例的结果。
