Body Surface Tracking of Complex Motion with Obstructed Viewing in Hybrid Imaging

混合成像中观察受阻的复杂运动的体表跟踪

• 批准号: 8968015
• 负责人: Clifford Lindsay
• 金额: $ 16.96万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8968015
• 关键词: Address; Area; Award; Body Surface; Cardiac; Clinical; Clothing; Complex; Computer Graphics; Computer Vision Systems; Computer software; Coronary Arteriosclerosis; Coupled; Data; Diagnosis; Diagnostic Imaging; Discipline of Nuclear Medicine; Elements; Engineering; Ensure; Financial compensation; Goals; Heart; Hybrids; Image; Individual; K-Series Research Career Programs; Knowledge; Lasers; Light; Lighting; Magnetic Resonance Imaging; Marketing; Massachusetts; Measures; Mechanics; Medical; Medical Imaging; Medical center; Mentors; Mentorship; Methods; Modality; Modeling; Monitor; Morphologic artifacts; Motion; Myocardial perfusion; National Institute of Biomedical Imaging and Bioengineering; Optics; PET/CT scan; Patients; Physics; Positron-Emission Tomography; Property; Quality of Care; Research; Research Personnel; Respiration; Sampling; Security; Shapes; Signal Transduction; Source; Staging; Statistical Methods; Strategic Planning; Structure; Surface; System; Technology; Testing; Time; Training; Translating; Universities; Work; base; career; computer science; cost; follow-up; heart motion; imaging system; improved; innovation; interest; new technology; novel; novel marker; outcome forecast; prevent; programs; prospective; public health relevance; research and development; respiratory; screening; single photon emission computed tomography; skills; skills training; success; tool; validation studies; visual tracking; volunteer

 DESCRIPTION (provided by applicant): During medical imaging, patient motion is virtually unavoidable presenting a significant source of image degradation and artifacts, which in turn, can impact the quality of care received by many patients. One method used to address patient motion is to employ visual tracking systems (VTS), which involves placing a small number of reflective markers on the patient that can be located and tracked in 3D space using stereo cameras. The tracked markers can then be used as a surrogate to a structure of interest, such as the heart. The tracked surrogate provides a quantifiable measure that can be directly correlated with the motion of the target structure, which can then be used for prospective or retrospective motion correction. However, the markers add complexity to patient workflow, provide only a sparse sampling of the patient's surface, and the optimal number and placement of markers is unknown. This project addresses the shortcomings of marker-based VTS systems by proposing to develop and test a novel low-cost marker-less VTS system for tracking patient motion within a hybrid imaging system. The primary barrier for successfully tracking the patient's body surface using marker-less VTS is that clothing prevents an unobstructed view of the patient's body. The candidate, Dr. Lindsay, is proposing to incorporate a translational method using computational approaches to compensate for garments within the proposed marker-less VTS system. Dr. Lindsay has received training in computer science and computer vision and previously has focused on the computational aspects of capturing, modeling, and rendering of physical phenomena such as light and is proposing to extend this knowledge to the medical imaging field. Dr. Lindsay's goals for this proposal are to acquire the necessary training and skills that will allow him to translate his expertise and existing computational skills to an area f research with medical relevance: namely, detecting and tracking patient motion for the purpose of improving motion correction for hybrid- imaging. Dr. Lindsay's long-term career goal is to become an accomplished independent investigator focusing on solving significant problems in medical imaging by translating advances in Computer Science. The proposed work will take place the University of Massachusetts Medical Center (UMass) in Worcester, MA under the primary mentorship of Dr. Michael King, an internationally known expert in the area of medical imaging and medical physics in Nuclear Medicine. Drs. Gennert, Sullivan, Licho have expertise in computer vision, mechanical engineering and medical imaging, and radiology and Nuclear Medicine, respectively will also serve as co-mentors. The specific aims of the proposed project are to: 1) develop a novel marker-less VTS, which we call PT- Cam, using low-cost using state-of-the-art camera technology, 2) model surface motion as a surrogate for internal motion of the heart, and 3) conduct tests of the PT-Cam system, in order to determine the acceptability and feasibility of clinical usage, on patients undergoing clinical MPI PET/CT imaging. Thus, the main objective of this program of research is to develop a clinically viable method for motion tracking patients undergoing hybrid-imaging studies by using a novel marker-less surface-tracking method that can compensate for clothing and provide modeling of interior motion of structures from surface tracking. If successful, not only will this project provide an innovative, marker-less VTS system for low-cost surface tracking for motion compensation during hybrid imaging but it will also give the candidate the necessary training needed to become an independent investigator in the medical field and potentially a leader in the field of medical imaging.

 描述（由申请人提供）：在医学成像过程中，患者运动实际上是不可避免的，这是图像质量下降和伪影的重要来源，这反过来又会影响许多患者接受的护理质量。用于解决患者运动问题的一种方法是采用视觉跟踪系统 (VTS)，其中涉及在患者身上放置少量反射标记，这些标记可以使用立体摄像机在 3D 空间中定位和跟踪，然后可以将跟踪的标记用作感兴趣结构的替代物，例如。跟踪的替代物提供了可与目标结构的运动直接相关的可量化测量，然后可用于前瞻性或回顾性运动校正。然而，标记增加了患者工作流程的复杂性，仅提供稀疏的。患者最佳表面的采样以及标记的数量和位置未知。该项目建议开发和测试一种新型低成本无标记 VTS 系统，用于跟踪患者在一定范围内的运动，从而解决基于标记的 VTS 系统的缺点。混合成像使用无标记 VTS 成功跟踪患者身体表面的主要障碍是，候选人 Lindsay 博士建议采用一种使用计算方法来补偿服装的平移方法。 Lindsay 博士接受过计算机科学和计算机视觉方面的培训，之前专注于捕捉、建模和渲染光等物理现象的计算方面，并提议将这些知识扩展到以下领域：医学影像Lindsay 博士的这项提案的目标是获得必要的培训和技能，使他能够将其专业知识和现有的计算技能转化为具有医学相关性的研究领域：即检测和跟踪患者运动以改善病情。 Lindsay 博士的长期职业目标是成为一名出色的独立研究者，专注于通过转化计算机科学的进展来解决医学成像中的重大问题。麻省大学）在马萨诸塞州伍斯特市的小学Michael King 博士是核医学医学成像和医学物理学领域的国际知名专家，Gennert、Sullivan、Licho 博士拥有计算机视觉、机械工程和医学成像、放射学和核医学方面的专业知识。 ，分别也将作为联合导师，该项目的具体目标是：1）开发一种新型无标记 VTS，我们称之为 PT-Cam，使用低成本的最先进的相机。技术，2）模型表面运动作为心脏内部运动的替代，3) 对接受临床 MPI PET/CT 成像的患者进行 PT-Cam 系统测试，以确定临床使用的可接受性和可行性。该研究计划的目的是开发一种临床上可行的方法，用于通过使用新型无标记表面跟踪方法进行混合成像研究的运动跟踪患者，该方法可以补偿衣服并通过表面跟踪提供结构内部运动的建模。成功不仅使这个项目提供创新的、无标记的 VTS 系统用于混合成像期间运动补偿的低成本表面跟踪，但它也将为候选人提供成为医学领域的独立研究者和潜在的医学成像领域的领导者所需的必要培训。