OTHER FUNCTIONS NOVEL ALGORITHMS FOR IN VIVO ENDOSCOPIC 3D SURFACE IMAGE RECONST

其他功能 体内内窥镜 3D 表面图像重建的新颖算法

• 批准号: 8566042
• 金额: $ 20万
• 依托单位: XIGEN, LLC
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-28 至 2013-06-27
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8566042
• 关键词: Acceleration; Algorithms; Architecture; Area; Benchmarking; Code; Computer software; Data; Development; Diagnosis; Environment; Image; Imagery; Magnetic Resonance Imaging; Measurement; Operative Surgical Procedures; Perception; Performance; Phase; Process; Small Business Innovation Research Grant; Speed; Surface; Techniques; Testing; Virtual Endoscopy; base; clinical research site; commercialization; design; improved; in vivo; minimally invasive; novel; operation; prototype; reconstruction; research clinical testing; simulation; three-dimensional modeling

Primary objective of this Phase 1 SBIR is to develop advanced algorithms and software that enable in vivo processing of endoscopic stereo images for 3D surface reconstruction, measurement, visualization and registration (3D-RMVM). Based on the reconstructed 3D surface profile, quantitative measurement can be made and 3D registration between the reconstructed endoscopic 3D surface image and the pre-operative CT/MRI image becomes feasible to facilitate minimally invasive surgeries(MIS). The reconstructed 3D surface profile can be visualized from multiple viewing angles which could potentially enhance the accuracy of perception and diagnosis during the in vivo operations. Xigen plans to perform rigorous algorithm development in Phase 1 and to carry out architecture design, coding, debugging, and functional testing for the 3D-RMVR software. At the end of the Phase 1, Xigen expects to have a functional prototype 3D-RMVR software package ready for Phase 2 clinical evaluation. In the followon phase 2 project, Xigen plans to further improve the 3D-RMVR based on stereo images, explore the 3D modeling techniques that allow reconstruction of accurate 3D surface profile based on commonly used 2D (not stereo) endoscopic/laparoscopic image sequences, and to perform clinical evaluation on the 3D-RMVR software at collaborators' clinical sites.

这一阶段SBIR的主要目标是开发先进的算法和软件，使内窥镜立体图像能够在体内处理，用于3D表面重建、测量、可视化和配准(3D-RMVM)。基于重建的3D表面轮廓，可以进行定量测量，并且重建的内窥镜3D表面图像与术前CT/MRI图像之间的3D配准成为可能，以便于微创手术(MIS)。重建的三维表面轮廓可以从多个视角可视化，这可能会在活体手术中提高感知和诊断的准确性。西根计划在第一阶段进行严格的算法开发，并对3D-RMVR软件进行架构设计、编码、调试和功能测试。在第一阶段结束时，西根公司预计将有一个功能原型3D-RMVR软件包，准备用于第二阶段的临床评估。在接下来的第二阶段项目中，西根计划进一步改进基于立体图像的3D-RMVR，探索能够基于常用的2D(非立体)内窥镜/腹腔镜图像序列重建准确3D表面轮廓的3D建模技术，并在合作者的临床站点对3D-RMVR软件进行临床评估。