Li S, Chen G T, Pelizzari C A, Reft C, Roeske J C, Lu Y
Department of Radiation Oncology, Stanford University, California 94305, USA.
Med Phys. 1996 Jun;23(6):921-7. doi: 10.1118/1.597734.
Conventional source localization algorithms require a one-to-one source correspondence between films. This requirement makes source localization cumbersome and error prone because multiple sources must be carefully digitized and some sources can be obscured or missed. A new source localization algorithm is described in this paper. The algorithm fits a ribbon or needle image on film to a linear-quadratic equation, then analytically determines the 3-D ribbon locus by its image on the other projection, and finally localizes the sources in the ribbon by tracing along the ribbon image. Only three points per ribbon per film are required, and corresponding points need not be identified on the other film. Phantom experiments and tests on clinical cases demonstrate that the source localization algorithm can increase the efficiency by a factor of up to 5, improve accuracy to about 1 mm, and reconstruct obscured or shifted sources without decreased accuracy and efficiency. The simplicity and minimal entry of data make this technique desirable for clinical use.
传统的源定位算法要求胶片之间源一一对应。这一要求使得源定位繁琐且容易出错,因为多个源必须仔细数字化,而且一些源可能会被遮挡或遗漏。本文介绍了一种新的源定位算法。该算法将胶片上的带状或针状图像拟合为线性二次方程,然后通过其在另一投影上的图像解析确定三维带状轨迹,最后通过沿着带状图像追踪来定位带状中的源。每张胶片上每条带只需要三个点,并且不需要在另一张胶片上识别对应点。模体实验和临床病例测试表明,该源定位算法可将效率提高多达5倍,将精度提高到约1毫米,并且能够重建被遮挡或移位的源而不会降低精度和效率。该技术的简单性和最少的数据输入使其适用于临床应用。