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: 9132242
• 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/9132242
• 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; Health; 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; 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（由适用提供）：在医学成像期间，患者运动几乎是不可避免的，出于图像降解和人工制品的重要来源，这反过来又会影响许多患者接受的护理质量。用于解决患者运动的一种方法是采用视觉跟踪系统（VTS），该方法涉及使用立体声摄像机在3D空间中放置并在3D空间中放置少量反射标记。然后，轨道标记可以用作感兴趣的结构（例如心脏）的替代品。跟踪的替代物提供了可量化的措施，该方法可以与目标结构的运动直接相关，然后可用于前瞻性或回顾性运动校正。但是，这些标记为患者工作流程增加了复杂性，仅提供对患者表面的稀疏采样，并且标记的最佳数量和位置尚不清楚。该项目通过提议开发和测试一种新型的低成本标记VTS系统来解决基于标记的VTS系统的缺点，以跟踪混合成像系统中的患者运动。使用无标记的VT成功跟踪患者身体表面的主要障碍是服装可防止对患者身体的毫无疑问的视野。候选人Lindsay博士提议使用计算方法来合并一种翻译方法，以补偿所提出的无标记VTS系统中的服装。 Lindsay博士已经接受了计算机科学和计算机视觉的培训，以前已重点介绍了捕获，建模和渲染的计算方面，例如光（如光），并建议将这些知识扩展到医学成像领域。 Lindsay博士的这项建议的目标是获得必要的培训和技能，使他能够将自己的专业知识和现有计算技能转化为具有医学相关性的F领域F研究：即，检测和跟踪患者的运动，以改善混合成像的运动校正。 Lindsay博士的长期职业目标是成为一名出色的独立研究者，专注于通过翻译计算机科学的进步来解决医疗成像中的重大问题。拟议的工作将在马萨诸塞州伍斯特的马萨诸塞大学医学中心（UMass）举行，这是马萨诸塞州的主要心态，迈克尔·金博士是核医学医学成像和医学物理领域的国际知名专家。博士。 Gennert，Sullivan，Licho在计算机视觉，机械工程和医学成像以及放射学和核医学方面具有专业知识，也将担任联合会。拟议项目的具体目的是：1）开发一种新型的无标记VT，我们称其为PT-CAM，使用低成本使用最先进的摄像头技术，2）模型表面运动作为心脏内部运动的替代，而3）为PT-CAM系统的行为测试，以确定临床上的临床MPI，以确定PT的可接受性和可行性。这是这项研究计划的主要目的是开发一种临床上可行的方法，用于通过使用一种新型的无标记表面跟踪方法进行杂交成像研究的患者进行运动跟踪，该方法可以补偿服装并从表面跟踪中提供结构内部运动的建模。如果成功，这个项目不仅会提供创新的，无标记的 在混合成像过程中进行低成本表面跟踪的VTS系统，但它还将为候选人提供成为医疗领域的独立研究人员所需的必要训练，并有可能成为医学成像领域的领导者。