Slomka Piotr J, Fieno David, Ramesh Amit, Goyal Vaibhav, Nishina Hidetaka, Thompson Louise E J, Saouaf Rola, Berman Daniel S, Germano Guido
Department of Imaging, Cedars-Sinai Medical Center, #A047 8700 Beverly Boulevard, Los Angeles, CA 90048, USA.
J Magn Reson Imaging. 2007 May;25(5):965-73. doi: 10.1002/jmri.20909.
To correct for spatial misregistration of multi-breath-hold short-axis (SA), two-chamber (2CH), and four-chamber (4CH) cine cardiac MR (CMR) images caused by respiratory and patient motion.
Twenty CMR studies from consecutive patients with separate breath-hold 2CH, 4CH, and SA 20-phase cine images were considered. We automatically registered the 2CH, 4CH, and SA images in three dimensions by minimizing the cost function derived from plane intersections for all cine phases. The automatic alignment was compared with manual alignment by two observers.
The processing time for the proposed method was <20 seconds, compared to 14-24 minutes for the manual correction. The initial plane displacement identified by the observers was 2.8 +/- 1.8 mm (maximum = 14 mm). A displacement of >/=5 mm was identified in 15 of 20 studies. The registration accuracy (defined as the difference between the automatic parameters and those obtained by visual registration) was 1.0 +/- 0.9 mm, 1.1 +/- 1.0 mm, 1.1 +/- 1.2 mm, and 2.0 +/- 1.8 mm for 2CH-4CH alignment and SA alignment in the mid, basal, and apical regions, respectively. The algorithm variability was higher in the apex (2.0 +/- 1.9 mm) than in the mid (1.4 +/- 1.4 mm) or basal (1.2 +/- 1.2 mm) regions (ANOVA, P < 0.05).
An automated preprocessing algorithm can reduce spatial misregistration between multiple CMR images acquired at different breath-holds and plane orientations.
校正因呼吸和患者运动导致的多屏气短轴(SA)、双腔(2CH)和四腔(4CH)电影心脏磁共振(CMR)图像的空间配准误差。
纳入20例连续患者的CMR研究,这些患者分别有屏气2CH、4CH和SA 20期电影图像。我们通过最小化所有电影相位平面相交得出的代价函数,在三维空间中自动配准2CH、4CH和SA图像。由两名观察者将自动对齐与手动对齐进行比较。
所提出方法的处理时间<20秒,而手动校正的处理时间为14 - 24分钟。观察者识别出的初始平面位移为2.8±1.8毫米(最大值 = 14毫米)。20项研究中有15项识别出位移≥5毫米。2CH - 4CH对齐以及SA在中部、基部和心尖区域对齐的配准精度(定义为自动参数与视觉配准获得的参数之间的差异)分别为1.0±0.9毫米、1.1±1.0毫米、1.1±1.2毫米和2.0±1.8毫米。算法变异性在心尖区域(2.0±1.9毫米)高于中部(1.4±1.4毫米)或基部(1.2±1.2毫米)区域(方差分析,P < 0.05)。
一种自动预处理算法可减少在不同屏气和平面方向获取的多个CMR图像之间的空间配准误差。