首页> 外文会议>Annual International Conference on Computing and Combinatorics(COCOON 2006); 20060815-18; Taipei(CT) >The Matrix Orthogonal Decomposition Problem in Intensity-Modulated Radiation Therapy
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The Matrix Orthogonal Decomposition Problem in Intensity-Modulated Radiation Therapy

机译:强度调制放射治疗中的矩阵正交分解问题

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In this paper, we study an interesting matrix decomposition problem that seeks to decompose a "complicated" matrix into two "simpler" matrices while minimizing the sum of the horizontal complexity of the first sub-matrix and the vertical complexity of the second sub-matrix. The matrix decomposition problem is crucial for improving the "step-and-shoot" delivery efficiency in Intensity-Modulated Radiation Therapy, which aims to deliver a highly conformal radiation dose to a target tumor while sparing the surrounding normal tissues. Our algorithm is based on a non-trivial graph construction scheme, which enables us to formulate the decomposition problem as computing a minimum s-t cut in a 3-D geometric multi-pillar graph. Experiments on randomly generated intensity map matrices and on clinical data demonstrated the efficiency of our algorithm.
机译:在本文中,我们研究了一个有趣的矩阵分解问题,该问题旨在将“复杂”矩阵分解为两个“更简单”的矩阵,同时将第一子矩阵的水平复杂度和第二子矩阵的垂直复杂度之和最小化。基质分解问题对于提高强度调制放射疗法中的“分步射击”传递效率至关重要,该方法旨在向目标肿瘤传递高保形放射剂量,同时保留周围的正常组织。我们的算法基于非平凡的图构造方案,该方案使我们能够在计算3-D几何多柱图中的最小s-t切口时制定分解问题。在随机生成的强度图矩阵和临床数据上进行的实验证明了我们算法的有效性。

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