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

9723815 About是圣地亚哥州立大学侯赛因·About博士与新加坡南洋理工大学Abdul Rahim Layman博士合作提出的一项为期24个月的奖项。为了与新加坡南洋理工大学的同行合作开展一个项目，研究如何使用高阶统计学来寻找一种最佳的方法，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，给肿瘤区域开出辐射剂量，ABUT博士申请了旅费、用品和学生资助。阿布特博士和他的新加坡同行在这一领域有能力、有经验和受人尊敬。这项研究解决了使用统计方法进行最优信号和图像处理分析的实际问题。这一分析的结果可能具有巨大的潜力，有助于开发更好的放射治疗应用于癌症治疗。该项目结合了理论、算法开发和测试，以及对真实数据的应用，为研究生提供了学习图像处理和医学成像的绝佳机会。

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.