PATIENT MOTION DETECTION AND COMPENSATION IN SPECT

描述(由申请人提供)： 患者运动是一种始终存在的伪影的潜在原因，可能会限制诊断成像的准确性。这个问题对于SPECT和PET等成像设备来说尤其明显，这些设备要求患者长时间保持不动。完全依赖于排放数据本身的运动补偿策略，尽管可以在商业上获得，但不足以用于强大的临床应用。拟议调查的目标是确定来自视觉跟踪系统的信息是否将作为迭代重建的一部分为患者的运动提供稳健的补偿。视觉跟踪系统指的是处理由光学相机拍摄的立体图像的计算系统，从而提供独立于SPECT系统的运动信息源。胸部和腹部的运动将通过跟踪一个图案的位置来确定，该图案是包裹在患者这些部位的弹性衣服的一部分。利用视觉跟踪系统研究的患者运动类型包括刚体运动、非刚体运动、呼吸运动、心脏向上爬行以及顺序发射和传输之间的运动、CT或MRI成像。基于视觉跟踪系统的补偿成功的最终测试将是医生-观察者ROC研究，比较接受SPECT灌注成像的患者在有和没有运动补偿的情况下检测冠状动脉疾病的准确性。第一个具体目标是完善视觉跟踪系统，并确定其跟踪刚体运动的精度。第二个具体目标是修改视觉跟踪系统，以包括对呼吸运动和心脏向上爬行的补偿。第三个具体目标是调查非刚体运动的必要性，以及当结合同一成像床上的多模式成像的个体患者的解剖知识时，服装图案中位置的运动是否可以预测结构的内部运动。第四个具体目标是开发一种运动补偿算法，该算法利用来自视觉跟踪系统的信息来补偿上述运动，作为列表模式迭代重建的一部分。第五个具体目标是确定视觉跟踪系统和运动补偿算法是否能够提高临床图像的人-观察者ROC研究确定的心脏灌注SPECT成像的诊断准确性。

DESCRIPTION (provided by applicant): Patient motion is an ever-present potential cause of artifacts that can limit the accuracy of diagnostic imaging. The problem is especially significant for imaging modalities such as SPECT and PET, which require the patient to remain motionless for protracted periods of time. Compensation strategies for motion that rely exclusively on the emission data itself, although commercially available, are inadequate for robust clinical usage. The goal of the proposed investigations is to determine if information from a visual-tracking-system will provide a robust compensation for patient motion as part of iterative reconstruction. By visual-trackingsystem it is meant a computational system that processes stereo-images taken by optical cameras thereby providing a source of motion information that is independent of the SPECT system. Motion of the chest and abdomen will be determined by tracking the locations of a pattern that is part of a stretchy garment wrapped about these portions of the patient. The types of patient motion for which compensation will be investigated with the visual-tracking-system are rigid-body motion, non-rigid-body motion, respiratory motion, upward-creep of the heart, and motion between sequential emission and transmission, CT or MRI imaging. The ultimate test of the success of the visual-tracking-system based compensation will be physician-observer ROC studies comparing the detection accuracy of coronary artery disease with and without motion compensation for patients undergoing SPECT perfusion imaging. The first specific aim is to perfect the visual-tracking-system and determine its accuracy for tracking rigid-body motion. The second specific aim is to modify the visual-tracking-system to include compensation for respiratory motion, and upward-creep of the heart. The third specific aim is to investigate the need for non-rigid-body motion, and whether the motion of the locations in the pattern on the garment can predict the internal motion of structures when coupled with knowledge of the individual patient's anatomy from multi-modality imaging on the same imaging bed. The fourth specific aim is to develop a motion-compensation algorithm that employs the information from the visual-tracking-system to compensate for the above motions as part of list-mode iterative reconstruction. The fifth specific aim is to determine whether the visual-tracking-system and motioncompensation algorithm are able to improve the diagnostic accuracy of cardiac-perfusion SPECT imaging as determined by human-observer ROC studies with clinical images.