多値画像関数に基づく生物学的原体放射線治療最適計画システムの提案

基于多级图像函数的生物适形放疗优化规划系统的提出

• 批准号: 16J04082
• 负责人: Soufi Mazen (2017)
• 金额: $ 0.83万
• 依托单位: Kyushu University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2016
• 资助国家: 日本
• 起止时间: 2016-04-22 至 2018-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16J04082/
• 关键词: Radiation therapy; Treatment planning; Radiomics; Lung cancer; Differential geometry; Differential topology; Optimization; Range images

Our purpose was to develop a differential-topology-based optimization planning system using multivariate image functions for high precision radiation therapy. We worked on three research projects. The first project was the development of a framework for monitoring of patient positioning errors in high precision radiation therapy by using Kinect-based range (distance) images. The second project was the development of a temporally stable image-features-based treatment planning-support system in radiation therapy, which can predict the prognosis of lung cancer patients using extensive image features robust against tumor motion. The third project was to explore optimal mother wavelets for survival prediction of lung cancer patients using wavelet decomposition-based radiomic features with high prognostic powers.These projects have been published in an international journal paper as an original article (Physica Medica, 2018; Impact Factor: 1.99), and 1 review paper has been published (Journal of Medical Imaging Technology (MIT)), and two original articles were submitted to two international journals (currently under review).The projects were presented in 3 international conferences (American Association of Physics in Medicine 2016 (Washington DC, USA) and 2017 (Denver, USA); The International Forum on Medical Imaging in Asia IFMIA2017 (Okinawa)) and 3 domestic conferences (Japan Society for Medical Physics (JSMP113, 2017; JSMP115, 2018 in Yokohama), and 36th Annual Meeting Annual meeting of Japanese Society of Medical Imaging Technology (JAMIT) in Gifu).

我们的目的是开发一个微分拓扑为基础的优化规划系统，使用多元图像功能的高精度放射治疗。我们做了三个研究项目。第一个项目是通过使用基于Kinect的范围（距离）图像开发用于监测高精度放射治疗中患者定位误差的框架。第二个项目是在放射治疗中开发一个基于时间稳定图像特征的治疗计划支持系统，该系统可以使用对肿瘤运动鲁棒的广泛图像特征来预测肺癌患者的预后。第三个项目是利用基于小波分解的放射组学特征探索最佳母小波，以高预测能力预测肺癌患者的生存率。这些项目已作为原创论文发表在国际期刊上（Physica Medica，2018;影响因子：1.99），发表了1篇综述论文（Journal of Medical Imaging Technology（MIT））两篇原创文章被提交给两个国际期刊这些项目已在3次国际会议上提出（美国医学物理协会2016年（美国华盛顿DC）和2017年（Denver，USA）;亚洲医学影像国际论坛IFMIA 2017（冲绳））和3次国内会议（日本医学物理学会（JSMP 113，2017; JSMP 115，2018，横滨）和日本医学成像技术学会（JAMIT）第36届年会，岐阜）。

项目成果

Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy.

基于微分几何的特征在范围图像引导放射治疗中检测患者表面解剖特征点的可行性。

• DOI: 10.1007/s11548-016-1436-x
• 发表时间: 2016
• 期刊: Int J Comput Assist Radiol Surg
• 作者: Soufi M;Arimura H;Nakamura K;et al.
• 通讯作者: et al.

What is the most optimal mother wavelet in radiomic analysis for the survival prediction of lung cancer patients?

放射组学分析中肺癌患者生存预测的最佳母小波是什么？

• 发表时间: 2017
• 作者: Mazen Soufi;Hidetaka Arimura;Saiji Ohga;Taka-aki Hirose;Yoshiyuki Umezu;Hiroshi Honda;Tomonari Sasaki
• 通讯作者: Tomonari Sasaki

Automated localization of anatomical feature points in infrared ray-based range images of patient surfaces by using differential geometry

使用微分几何自动定位患者表面基于红外线的范围图像中的解剖特征点

• 发表时间: 2016
• 作者: Soufi M;Arimura H;et al.
• 通讯作者: et al.

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