ALGORITHMS FOR MULTI-MODAL REGISTRATION IN CANCER DIAGNOSIS AND IMAGING

原发性和转移性肿瘤的检测和治疗，特别是在早期癌症，仍然是一个重大的挑战。该SBIR项目的技术目标是证明将实时表面信息与传统成像方式相结合可以实现对癌症检测和治疗的实质性改进。表面信息还可以在CT重建过程中提供额外的信息通道，以减少截断伪影，提高图像质量。集成在超声探头中的表面配准可用于增强US/CT融合以实现可视化。针跟踪，支持表面重建，可以提供更好的靶向活检或消融治疗。这个SBIR项目将开发能够支持这些能力的通用软件工具。这些工具包括：1)使用实时结构光立体成像进行表面重建的软件，以及2)与超声引导活检兼容的表面配准和针头跟踪算法。这些算法将通过提供基于术前图像的低成本、紧凑的精确导航，为针式手术提供支持。算法性能将在执行活检的台式系统上进行演示。可测量的终点将包括进行活检的时间、总体导航精度和目标配准误差。

Detection and treatment of primary and metastatic tumors, particularly in early stage cancer, continues to be a significant challenge. The technical objective of this SBIR project is to demonstrate that combining real-time surface information with traditional imaging modalities can realize substantial improvements to cancer detection and treatment. Surface information can also provide an additional information channel during CT reconstruction to reduce truncation artifacts and enhance image quality. Surface registration integrated into an ultrasound probe can be used to enhance US/CT fusion for visualization. Needle tracking, supported by surface reconstruction, can provide improved targeting for biopsy or ablative therapies. This SBIR project will develop generic software tools that are able to support these capabilities. These tools include: 1) software for surface reconstruction using real-time structured-light stereo, and 2) surface registration and needle tracking algorithms that are compatible with ultrasound-guided biopsy. These algorithms will provide support for needle-based procedures by providing low-cost, compact precision navigation based on preoperative imagery. Algorithm performance will be demonstrated on a benchtop system for performing biopsy. Measurable endpoints will include the time to perform a biopsy, the overall navigation accuracy, and the target registration error.