MRI: Development of a Vision-based Real-Time Body Motion Tracking Instrument for Advanced Radiation Treatment

这个跨学科的仪器开发项目将计算机视觉（和计算机科学整体）与放射治疗和行为科学相结合。 这个项目是医学院、心理学系和技术学院的一个联合项目。 我们的目标是开发一种微创，全身，病人跟踪系统，用于目前在该机构使用的螺旋断层治疗系统。这项工作的目的是检测患者在放射治疗期间何时变得不对准。 在螺旋断层放射治疗中加入视觉反馈，应该可以提高患者的安全性，减少可观的治疗时间，提高治愈率。 应当注意，所提出的仪器对于需要相对于医疗器械的特定患者姿势的其他形式的放射治疗和医疗系统具有广泛的含义。 为了使这些设备彻底改变治疗领域，应该从行为科学的角度研究患者与设备的相互作用。在这个项目中，行为科学将在捕捉患者在治疗中表现出的行为模式，以及设计对癌症治疗产生深远影响的新患者安置方案方面发挥重要作用。在这个开发的早期阶段，拟议的仪器将不用于人体试验，而是专注于以下任务：- 开发高效的计算机视觉算法（结构光），用于以非侵入性方式检测患者的运动，同时提供了创建封闭的环形螺旋断层摄影仪器，-选择特征，因此不再需要笨重的反射标记，-创建利用从多个校准相机发现的特征所需的概率框架，以确定可能的身体位置的概率分布，-结合行为科学研究，其利用网络使能原理来创建患者友好的医疗设备和治疗，及-建议仪器的实验验证及仪器的改善与网络使能行为科学的投入。更广泛的影响：该项目引入计算机视觉方法/硬件和网络使能行为科学研究放射治疗的目标有更安全和更有效的放射治疗。它可能会导致人类和医疗设备交互方式的根本变化。教育方案将使培训的工具/方法。其中一些方法将列入课程。将建立一个网站，以传播调查结果。来自世界各地的用户将获得访问权限。将建立向有关群体进行示范的外联方案。

This cross disciplinary project for instrument development combines the fields of computer vision (and computer science overall) with radiation therapy and behavioral sciences. This project is a joint venture among the Medical School, the Psychology Department, and the Institute of Technology. The goal is to develop a minimally invasive, full-body, patient tracking system to be used with the helical tomotherapy system currently in use at the institution. The purpose of this effort is to detect when a patient becomes misaligned during radiation treatment. Adding visual feedback to the helical tomotherapy treatment should improve the safety of the patient, reduce the considerable treatment time, and improve the cure rate. It should be noted that the proposed instrument has a wide variety of implications for other forms of radiation therapy and medical systems that require a specific patient pose with respect to the medical device. In order for these devices to revolutionize the treatment field, the interaction of the patient with the device should be studied from a behavioral sciences point of view. In this project, behavioral sciences will play an important role in capturing the behavioral patterns exhibited when the patient is in treatment, and in devising new patient placement protocols with profound impacts on cancer treatment.During the early stages of this development, the proposed instrument will not be used in human trials, focusing instead on the following tasks:- Development of efficient computer vision algorithms (structured light) for detecting the patient's movements in a non-intrusive way that simultaneously offers the possibility for creating a closed-loop helical tomography instrument,- Selection of features, so cumbersome reflective markers are no longer needed,- Creation of the probabilistic framework necessary to utilize the features found from multiple calibrated cameras to determine the probability distribution of likely body positions,- Incorporation of behavioral science research that utilizes cyber-enabled principles to create patient-friendly medical devices and treatments, and- Experimental validation of the proposed instrument and improvement of the instrument with cyber-enabled behavioral science input.Broader Impacts:This project introduces computer vision methodologies/hardware and cyber-enabled behavioral science research to radiation therapy with the objective of having safer and more effective radiation treatment. It may cause fundamental changes in the way that humans and medical devices interact. Educational programs will enable training to the instrument/methodologies. Some of these methodologies will be included in the curriculum. A website will be developed for dissemination of findings. Users from around the world will be given access. Outreach programs involving demonstrations to pertinent groups will be created.