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Computing Tumour Coverage as a Result of Respiratory Motion during Radiotherapy Treatment

机译:计算放疗期间呼吸运动导致的肿瘤覆盖率

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The objectives of radiotherapy treatment is to kill cancerous cells while minimizing damage to surrounding healthy tissues. The tumour location uncertainty "forces" oncologists to prescribe a larger treatment area than required in order to ensure that the whole tumour is receiving the prescribed dose. The problem is more acute when a tumour can move during treatment, e.g., as a result of breathing. In this paper, we present an algorithm for computing the area covered by a tumor as a result of a cyclic motion during treatment. Our algorithm solves the following geometric problem: Given an n-vertices convex polygon P = {v₁, v₂, . . . , v_n}, a monotone chain C = {c₁, c₂, . . . , c_m}, compute a minimums area polygon Q that includes all the space covered by P as it is translated along C such that v₁ ∊¸ P touches C. Here, we present a simple algorithm when P is a convex polygon. Our algorithm takes O(mn + m log n log(m + n)) time in the worst case.
机译:放射治疗的目的是杀死癌细胞,同时最大程度地减少对周围健康组织的损害。肿瘤位置的不确定性“迫使”肿瘤科医生开出比所需更大的治疗区域,以确保整个肿瘤都在接受规定剂量。当肿瘤在治疗期间例如由于呼吸而移动时,问题更加严重。在本文中,我们提出了一种用于计算治疗过程中循环运动导致的肿瘤覆盖面积的算法。我们的算法解决了以下几何问题:给定一个n顶点凸多边形P = {v 1,v 2,...。 。 。 ,v_n},单调链C = {c 1,c 2,...。 。 。 ,c_m},计算最小面积多边形Q,该最小面积多边形Q包含P沿C进行平移时所覆盖的所有空间,从而v₁P接触C。在此,我们给出一个简单的算法,当P为凸多边形时。在最坏的情况下,我们的算法需要O(mn + m log n log(m + n))时间。

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