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首页> 外文会议>Conference on image processing >Volume-constrained Image Registration for Pre- and Post-operative CT Liver Data
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Volume-constrained Image Registration for Pre- and Post-operative CT Liver Data

机译：用于预先操作性的CT肝脏数据的体积约束图像配准

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摘要

The resection of a tumor is one of the most common tasks in liver surgery. Here, it is of particular importance to resect the tumor and a safety margin on the one hand and on the other hand to preserve as much healthy liver tissue as possible. To this end, a preoperative CT scan is taken in order to come up with a sound resection strategy. It is the purpose of this paper to compare the preoperative planning with the actual resection result. Obviously the pre- and postoperative data is not straightforward comparable, a meaningful registration is required. In the literature one may find a rigid and a landmark-based approach for this task. Whereas the rigid registration does not compensate for nonlinear deformation the landmark approach may lead to an unwanted overregistration. Here we propose a fully automatic nonlinear registration with volume constraints which seems to overcome both aforementioned problems and does lead to satisfactory results in our test cases.
机译：切除肿瘤是肝脏手术中最常见的任务之一。在这里，将肿瘤和安全裕度一方面彼此脱离，另一方面是特别重要的，以保持尽可能多的健康肝脏组织。为此，采取术前CT扫描以提出声音切除策略。本文的目的是将术前规划与实际切除结果进行比较。显然，预先和术后数据并不是直接的可比性，需要有意义的注册。在文献中，可以找到这种任务的刚性和基于地标的方法。虽然刚性登记不弥补非线性变形，但是地标方法可能导致不需要的过度重放。在这里，我们提出了一个全自动的非线性注册与体积约束，似乎克服了上述问题，并且在我们的测试用例中会导致令人满意的结果。

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