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

这个小型企业创新研究(SBIR)第一阶段项目将证明用于医学图像引导干预的低剂量4D锥形波束断层合成重建算法的可行性。尽管有了高精度的3D引导系统，但大多数图像引导的介入治疗仍然是在2D透视下进行的。3D导航显然更加复杂和昂贵，因为它需要将3D成像(如CT)与手术导航相结合，这既昂贵又复杂。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。这项研究将开发一种具有准实时性能(4D)的3D重建算法，与2D透视相比，该算法不会增加对X射线的暴露。这项拟议的技术将结合断层合成、迭代重建和压缩传感方面的最新进展，从根本上改变图像引导的干预。该项目的更广泛的影响/商业潜力是，先进的医疗程序，如微创手术，将在工作流程和可获得性方面得到显著改善，降低医疗成本，改善结果，并提高患者的生活质量。仅在美国，转向微创脊柱手术10%就可以减少1.8亿美元的医疗成本，同时减少患者创伤，并为4.5万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，改进一系列广泛的程序，并在医疗干预方面带来新的卓越水平。4D系统将在术中X射线医学成像市场和外科导航市场展开竞争，前者价值10亿美元，年增长率为6%，后者价值4亿美元，年增长率为9%。拟议的概念有可能颠覆这两个市场，将术中3D成像和手术导航系统对替换为一个更具成本效益和更易于使用的4D系统。

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.