IGRT SOFTWARE SOFTWARE USING IN VIVO OPTICAL 3D & CBCT IMAGES

IGRT 软件 使用体内光学 3D 的软件

• 批准号: 8341391
• 负责人: JASON GENG, PH.D.
• 金额: $ 19.81万
• 依托单位: XIGEN, LLC
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-20 至 2012-06-19
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8341391
• 关键词: Algorithms; Anatomy; Clinical; Computer software; Data; Dimensions; Image; Imagery; Inherited; Ionizing radiation; Knowledge; Location; Measurement; Measures; Movement; Optics; Patient Monitoring; Patients; Performance; Phase; Positioning Attribute; Process; Radiation; Radiation therapy; Small Business Innovation Research Grant; Solutions; Speed; Staging; Surface; Technology; Testing; Three-Dimensional Image; Three-Dimensional Imaging; Time; commercialization; cone-beam computed tomography; image processing; in vivo; innovation; novel; prototype; treatment planning

In this SBIR, Xigen proposes to develop a set of novel 3D registration algorithms and a software package for image-guided radiotherapy (IGRT). This novel software synergistically correlates cone-beam computed tomography (CBCT) phase-binned (or amplitude-binned) volumetric 3D images with real-time optical 3D (O3D) surface images to provide in-vivo accurate volumetric 3D location of the treatment target and surrounding anatomy of the patient in the treatment position in (near) real-time. CBCT can provide volumetric 3D/4D images of patient¿s anatomy prior to an IGRT session. However, due to acquisition speed and radiation exposure, CBCT is not suitable for continuous use in real-time patient monitoring. In contrast, optical 3D surface imaging can be performed in-vivo and continuously without any ionizing radiation. It however is not able to provide internal anatomy information. The innovative approach proposed herein inherits advantages of both the CBCT and the optical 3D surface imaging, while alleviating drawbacks of both. It promises to provide viable in-vivo solution to IGRT for significantly reducing errors in all three stages of radiation therapy (RT): (1) treatment planning; (2) patient setup for treatment; and (3) adaptation to inter-fractional anatomic changes and intra-fractional movement. To the best of Xigen's knowledge, there is no existing technology that can achieve similar performance of real-time surface-volumetric 3D imaging for IGRT.

在这份SBIR中，Xigen建议开发一套新颖的3D配准算法和用于图像引导放射治疗(IGRT)的软件包。这一新型软件协同地将锥束计算机断层扫描(CBCT)相位绑定(或幅度绑定)体积3D图像与实时光学3D(O3D)表面图像相关联，以实时(接近)实时提供治疗目标的体内准确体积3D位置和患者在治疗位置的周围解剖。 CBCT可以在IGRT会议之前提供S患者解剖的体积3D/4D图像。然而，由于采集速度和辐射暴露的限制，CBCT不适合在实时患者监护中连续使用。相比之下，光学3D表面成像可以在体内连续进行，而不需要任何电离辐射。然而，它不能提供内部解剖信息。本文提出的创新方法继承了CBCT和光学3D表面成像的优点，同时缓解了两者的缺点。它有望为IGRT提供可行的体内解决方案，显著减少放射治疗(RT)所有三个阶段的错误：(1)治疗计划；(2)患者治疗设置；(3)适应部分间解剖变化和部分内运动。 就Xigen所知，目前还没有一种技术可以实现IGRT的实时表面体积3D成像。