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使用多旋转180度单光子发射断层扫描进行铊心肌成像的运动检测与校正

Motion detection and correction using multi-rotation 180 degrees single-photon emission tomography for thallium myocardial imaging.

作者信息

Britten A J, Jamali F, Gane J N, Joseph A E

机构信息

Department of Medical Physics, St. George's Hospital, Tooting, London, UK.

出版信息

Eur J Nucl Med. 1998 Nov;25(11):1524-30. doi: 10.1007/s002590050331.

Abstract

Patient and organ motion is a potentially limiting factor in gamma camera single-photon emission tomography (SPET) imaging, as highlighted in stress thallium myocardial SPET, where the heart may exhibit a systematic axial motion (cardiac creep) following stress. Multi-rotation SPET has previously been described as a means of obtaining better raw data for motion detection and correction. This study describes the validation of a computerised motion detection algorithm applied to multi-rotation SPET, and reports measured motions in thallium myocardial stress SPET studies from a single-headed gamma camera. Forty-two patients underwent pharmacological stress (dipyridamole) with leg raising, with injection of 75 MBq thallium-201 and imaging after a 10-min delay to detect or evaluate coronary artery disease. Multi-rotation gamma camera SPET was performed with a single-headed gamma camera, with five sequential rapid (4.5 min) continuous SPET mode rotations over 180 degrees. A one-dimensional cross-correlation alignment technique was applied to the projection images to perform motion detection and correction in the axial direction prior to combining the five data sets for tomographic reconstruction. Validation of the cross-correlation alignment analysis was carried out by performing imaging with measured whole-body axial motions in nine subjects, and by reproducibility measurements on multi-rotation data sets. The effect of the applied motion correction was evaluated by calculating mean differences between image pairs before and after shifting, and the general reliability of the automatic motion detection was checked to within one pixel by visual assessment of 160 image pairs. Validation measurements of the cross-correlation technique gave a mean absolute error of 1.5+/-0.4 mm (0.24+/-0.06pixels) with a maximum error of 3.7 mm (0.6 pixels). In 40 subjects undergoing pharmacological stress 201Tl myocardial SPET imaging, the mean cardiac axial creep movement was calculated as 3.1+/-0.7 mm (0. 49+/-0.11 pixels), with 13 out of 40 (32%) having a calculated motion of 1 pixel (6.3 mm) or more. The automatic image shift was visually judged to be within 1 pixel in all 160 image pair analyses, and the mean pixel value difference between image pairs was reduced following image shifting. It is concluded that multi-rotation 180 degrees SPET imaging provides raw data which allow objective and accurate motion detection of cardiac motion in thallium stress myocardial imaging, whilst the one-dimensional cross-correlation technique demonstrates adequate accuracy and reliability to be applied as an automatic motion screening technique on these data.

摘要

患者和器官的运动是γ相机单光子发射断层扫描(SPET)成像中一个潜在的限制因素,这在负荷铊心肌SPET中得到了凸显,在负荷状态下,心脏可能会出现系统性的轴向运动(心脏蠕动)。此前,多旋转SPET已被描述为一种获取更好的原始数据以进行运动检测和校正的方法。本研究描述了一种应用于多旋转SPET的计算机化运动检测算法的验证,并报告了来自单头γ相机的铊心肌负荷SPET研究中测量到的运动情况。42例患者接受了药物负荷试验(双嘧达莫)并抬高腿部,注射75MBq的铊-201,延迟10分钟后进行成像以检测或评估冠状动脉疾病。使用单头γ相机进行多旋转γ相机SPET,在180度范围内连续进行5次快速(4.5分钟)的SPET模式旋转。在将五个数据集组合用于断层重建之前,应用一维互相关对齐技术对投影图像进行轴向运动检测和校正。通过对9名受试者进行测量的全身轴向运动成像以及对多旋转数据集进行重复性测量,对互相关对齐分析进行了验证。通过计算移位前后图像对之间的平均差异来评估所应用的运动校正的效果,并通过对160对图像进行视觉评估,将自动运动检测的总体可靠性检查到一个像素以内。互相关技术的验证测量给出的平均绝对误差为1.5±0.4毫米(0.24±0.06像素),最大误差为3.7毫米(0.6像素)。在40例接受药物负荷试验的201Tl心肌SPET成像的受试者中,计算出的平均心脏轴向蠕动运动为3.1±0.7毫米(0.49±0.11像素),40例中有13例(32%)计算出的运动为1像素(6.3毫米)或更多。在所有160对图像分析中,自动图像移位在视觉上被判断在1像素以内,并且图像移位后图像对之间的平均像素值差异减小。得出的结论是,180度多旋转SPET成像提供了原始数据,能够在铊负荷心肌成像中对心脏运动进行客观准确的运动检测,而一维互相关技术显示出足够的准确性和可靠性,可作为这些数据的自动运动筛查技术应用。

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