SBIR Phase I: 4D reconstruction algorithm for image guided interventions

该小型企业创新研究（SBIR）第一阶段项目将证明低剂量4D锥形束断层合成重建算法用于医学图像引导干预的可行性。尽管有高度准确的3D引导系统，但大多数图像引导介入仍在2D荧光透视下进行。3D引导明显更复杂和昂贵，因为它需要将3D成像（如CT）与手术导航相结合，这两种技术都是昂贵和复杂的。能够重建4D场景的系统将以较低的成本为医疗专业人员提供准确且易于使用的指导。本研究将开发一种具有准实时性能（4D）的3D重建算法，与2D荧光透视相比，该算法不会增加X射线暴露。该技术将联合收割机结合断层合成、迭代重建和压缩感知的最新进展，从根本上改变图像引导介入。该项目更广泛的影响/商业潜力是，先进的医疗程序，如微创手术，将在工作流程和可及性方面得到显著改善，降低医疗成本，改善预后，提高患者的生活质量。仅在美国，10%的微创脊柱手术可以减少1.8亿美元的医疗成本，同时减少患者创伤并为45，000名患者提供更快的康复。这项技术可以应用于其他临床领域，如肿瘤学和介入放射学，改善广泛的程序，并带来新的医疗干预水平。4D系统将在术中X射线医疗成像市场竞争，这是一个每年增长6%的10亿美元市场，在手术导航市场竞争，这是一个每年增长9%的4亿美元市场。所提出的概念有可能通过用一个更具成本效益且更易于使用的4D系统取代成对的术中3D成像和手术导航系统来扰乱这两个市场。

This Small Business Innovation Research (SBIR) Phase I project will prove the feasibility of a low-dose 4D cone beam tomosynthesis reconstruction algorithm for use in medical image-guided interventions. Despite the availability of highly accurate 3D guidance systems, most image-guided interventions are still performed under 2D fluoroscopy. 3D guidance is significantly more complex and expensive, as it requires the combination of 3D imaging (like CT) with surgical navigation, both expensive and complex technologies. A system capable of reconstructing a 4D scene would provide accurate and easy to use guidance for the medical professional, at lower costs. This research will develop a 3D reconstruction algorithm with quasi real-time performance (4D) that does not increase exposure to x-rays when compared to 2D fluoroscopy. The proposed technology will combine the most recent advancements in tomosynthesis, iterative reconstruction and compressed sensing and fundamentally change image-guided interventions.The broader impact/commercial potential of this project is that advanced medical procedures, like minimally invasive surgery, will be significantly improved in workflow and accessibility, reducing healthcare costs, improving outcomes and improving quality of life for patients. In the U.S. alone, a 10% shift to minimally invasive spine surgeries can reduce healthcare costs by $180M while reducing patient trauma and providing faster recoveries to 45,000 patients. This technology could be applied in other clinical areas like oncology and interventional radiology, improving a broad array of procedures and bringing a new level of excellence in medical interventions. 4D systems would compete in the intra-operative x-ray medical imaging market, a $1B market that is growing 6% annually, and in the Surgical Navigation market, a $400M market that is growing 9% annually. The proposed concept has the potential to disrupt both these markets by replacing pairs of intra-operative 3D imaging and surgical navigation systems with one 4D system that is more cost effective and easier to use.