U.S.-Singapore Cooperative Research: Application of Higher Order Statistics to Conformation Radiotherapy Treatment

小行星9723815 这是一个为期24个月的奖项，由圣地亚哥州立大学的Huseyin Abut博士与新加坡南洋理工大学的Abdul Rahim Layman博士合作提出。 Abut博士申请旅行、物资和学生支持的资金，与新加坡南洋理工大学的同行开展合作项目，研究使用高阶统计量，以找到一种最佳方法，在不超过周围正常组织和辐射敏感器官的辐射耐受性的情况下，为肿瘤区域开出辐射剂量。 阿布特博士和他的新加坡同行在这一领域都是称职、经验丰富和受人尊敬的。 这项研究解决了一个实际问题，使用统计方法进行最佳信号和图像处理分析。 这项分析的结果可能有很大的潜力，有助于发展一个更好的应用放射治疗癌症治疗。 该项目结合了理论，算法开发和测试，并应用于真实的数据，并为研究生学习图像处理和医学成像提供了一个很好的机会。

9723815 Abut This is a 24-month award proposed by Dr. Huseyin Abut, San Diego State University, collaborating with Dr. Abdul Rahim Layman, the Nanyang Technological University in Singapore. Dr. Abut request funds for travel, supplies and student support to carry out a cooperative project with his counterpart at the Singapore Nanyang Technological University to study the use of higher-order statistics to find an optimal way to prescribe radiation dosage for tumor regions without exceeding the radiation tolerance of surrounding normal tissues and radiation sensitive organs. Dr. Abut and his Singapore counterpart are competent, experienced and respected in this field. This study addresses a practical question of using a statistical method for optimal signal and image processing analysis. The result of this analysis could have great potential for contributing to the development of an improved application of radiation therapy for cancer treatment. The proposed project combines theory, algorithm development and testing, and application to real data and provides an excellent opportunity for a graduate student to learn image processing and medical imaging.