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Few-view and Limited-angle Cone-beam Megavoltage CT for Breast Localization in Radiation Therapy

机译:辐射治疗中乳房定位的几个视图和有限的角度锥形射线射频CT

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In radiation therapy for breast cancer treatment, information about the external (skin) and internal (lung) boundaries is highly useful for determining the relative locations of the target and lung. In this work, we investigate the feasibility of tomographic reconstruction from few-view and limited-angle cone-beam projections acquired in radiation therapy unit for obtaining critical boundary information. From the few-view and limited-angle projections acquired directly in the treatment machine with an amorphous silicon electronic portal imaging device (EPID), We compared and evaluated the performance of the conventional cone-beam FDK algorithm and an iterative algorithm based upon the maximum-likelihood method for transmission tomography (ML-TR). Preliminary results demonstrated that the ML-TR algorithm is more promising than is the cone-beam FDK algorithm. Useful boundary information for breast localization can be obtained with very few projections in a limited angle range from the reconstruction of ML-TR algorithm.
机译:在乳腺癌处理的放射治疗中,关于外部(皮肤)和内部(肺)边界的信息对于确定靶和肺的相对位置非常有用。在这项工作中,我们研究了在放射治疗单元中获取的几个视角和有限角锥形束投影的断层切断重建的可行性,以获得临界信息。从使用非晶硅电子门户成像设备(EPID)直接在处理机中直接获取的几个视角和有限的角度投影,我们比较了传统锥形光束FDK算法的性能和基于最大值的迭代算法 - 透射断层扫描(ML-TR)的励脉法。初步结果表明,ML-TR算法比锥形光束FDK算法更有希望。可以通过ML-TR算法的重建,在有限角度范围内具有极少的投影,可以获得用于乳房定位的有用边界信息。

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