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

机译:很少见和有限角度的锥束兆伏CT用于放射治疗中的乳房定位

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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:在用于乳腺癌治疗的放射治疗中,有关外部(皮肤)和内部(肺)边界的信息对于确定靶标和肺的相对位置非常有用。在这项工作中,我们从放射治疗单元中获取的少数视角和有限角度锥束投影中获取断层扫描以获取关键边界信息的可行性进行研究。从在使用非晶硅电子门禁成像设备(EPID)的治疗机中直接获取的少数视角和有限角度投影,我们比较并评估了常规锥束FDK算法和基于最大锥度的迭代算法的性能。透射层析成像的可能性法(ML-TR)。初步结果表明,ML-TR算法比锥束FDK算法更有希望。通过重建ML-TR算法,可以在有限的角度范围内以很少的投影获​​得有用的乳房定位边界信息。

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