Real-time AI-enhanced Low Dose Fluoroscopy

实时人工智能增强低剂量透视

• 批准号: 10385142
• 负责人: Enhao Gong
• 金额: $ 13.22万
• 依托单位: SUBTLE MEDICAL, INC.
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-25 至 2023-09-24
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10385142
• 关键词: Adopted; Anatomy; Architecture; Artificial Intelligence; Breast Cancer Risk Factor; Cadaver; Child; Clinic; Clinical; Clinical Research; Computer software; Data Set; Development; Dose; Exposure to; Feedback; Fluoroscopy; Goals; Hospitals; Image; Image Enhancement; Imaging Device; Industrialization; Ionizing radiation; Learning; Limb structure; Magnetic Resonance Imaging; Malignant Childhood Neoplasm; Malignant Neoplasms; Medical; Medical Imaging; Methods; Modeling; Motivation; Operating Rooms; Operative Surgical Procedures; Orthopedics; Patients; Performance; Phase; Positron-Emission Tomography; Procedures; Radiation Dose Unit; Radiation exposure; Recurrence; Research; Risk; Roentgen Rays; Small Business Innovation Research Grant; Speed; Spinal; Spine surgery; Surgeon; System; Thyroid Gland; Time; Training; Translating; Vertebral column; Visualization; Woman; Work; base; cancer risk; deep learning; denoising; experience; image guided intervention; image processing; image reconstruction; imaging modality; improved; innovation; millisecond; minimally invasive; model design; novel; operation; preservation; processing speed; real time model; software development; success; tool

Project Summary Motivation: Fluoroscopy is an indispensable tool for image-guided interventions in 50 million surgeries performed annually in the US. It leverages ionizing radiation from x-rays to provide surgeons with real-time, high-quality imaging feedback. Radiation exposure is harmful for both the patients and surgeons. Repetitive patient exposure has been shown to double the risk of breast cancer in women; meanwhile, surgeon exposure is also concerning. Orthopedic surgeons are 5x more likely to develop cancer in their lifetime; spine surgeons receive up to 12x more radiation exposure compared to other orthopedic surgeons. With minimally invasive surgery becoming widely adopted in recent years, the use of fluoroscopy has greatly increased. Surgeons rely on the navigation provided by fluoroscopy during these procedures, as they do not have direct visualization of the anatomy. Therefore, reducing the radiation exposure from fluoroscopy while maintaining high imaging quality is a high priority. In the past few years, artificial intelligence (AI) methods have shown promising advances to improve the quality of medical imaging. Subtle Medical Inc. has already received FDA clearance for its AI-based software products to reduce the dose for PET by four times and improve image quality for MRI. The motivation of this proposal is to translate our initial success to another imaging modality and achieve low dose fluoroscopy. Approach: This phase I SBIR project has three aims. Aim 1 is to develop AI software using recurrent deep learning architecture to achieve 6x dose reduction for fluoroscopy. Aim 2 is to design model pruning, kernel optimization, and high-performance inference frameworks to achieve real-time processing. Finally, in Aim 3, we will evaluate both qualitatively and quantitatively the developed software on phantoms and cadavers. Significance: This work will enable six times lower dose fluoroscopy. The completion of the project will have wide impact to greatly reduce radiation exposure in the operating room, hence reducing the risk of cancer development for both patients and clinicians.

项目摘要 动机：荧光镜检查是5000万的图像引导干预措施的必不可少的工具 每年在美国进行手术。它利用X射线的电离辐射来提供 具有实时，高质量成像反馈的外科医生。辐射暴露对两者都是有害的 患者和外科医生。重复的患者接触已被证明是 女性乳腺癌；同时，外科医生的接触也令人担忧。骨科 外科医生一生中患癌症的可能性更高。脊柱外科医生最多可接受12倍 与其他骨科医生相比，更多的辐射暴露。具有最低侵入性 近年来，手术被广泛采用，荧光镜的使用大大增加。 外科医生依靠荧光检查在这些过程中提供的导航，就像它们一样 没有直接可视化解剖结构。因此，减少了从 保持高成像质量的同时透视镜检查是高度优先级。在过去的几年中， 人工智能（AI）方法已显示出有望提高质量的有希望的进步 医学成像。 Sixtle Medical Inc.已经获得了基于AI的FDA许可 软件产品可将PET的剂量减少四倍，并提高MRI的图像质量。 该提议的动机是将我们的最初成功转化为另一种成像方式和 达到低剂量的透视镜检查。 方法：此I阶段SBIR项目具有三个目标。 AIM 1是使用使用AI软件 复发性深度学习结构可减少6次剂量的荧光镜检查。目标2是 设计模型修剪，内核优化和高性能推理框架 实现实时处理。最后，在AIM 3中，我们将在定性上评估这两个 定量对幻影和尸体上开发的软件。 意义：这项工作将使荧光镜降低六倍。完成 项目将对大大减少手术室的辐射暴露的影响很大，因此 减少患者和临床医生的癌症发展风险。