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用于生成高分辨率心脏磁共振容积数据的屏气间配准

Inter-breath-hold registration for the production of high resolution cardiac MR volumes.

作者信息

Noble Nicholas M I, Boubertakh Redha, Razavi Reza S, Hill Derek L G

机构信息

Centre for Medical Image Computing, University College London, UK.

出版信息

Med Image Comput Comput Assist Interv. 2005;8(Pt 2):894-901. doi: 10.1007/11566489_110.

Abstract

High resolution MRI images of the beating heart permit observation of detailed anatomical features and enable quantification of small changes in metrics of cardiac function. To obtain approximately isotropic sampling with an adequate spatial and temporal resolution, these images need to be acquired in multiple breath-holds. They are, therefore, often affected by through-plane discontinuities due to inconsistent breath-hold positions. This paper presents a method to correct for these discontinuities by performing breath-hold-by-breath-hold registration of high resolution 3D data to radial long axis images. The corrected images appear free of discontinuities, and it was found that they could be delineated more reproducibly than uncorrected images. This reduces the sample size required to detect systematic changes in blood pool volume by 57% at end systole and 78% at end diastole.

摘要

跳动心脏的高分辨率MRI图像能够观察到详细的解剖特征,并能对心脏功能指标的微小变化进行量化。为了以足够的空间和时间分辨率获得近似各向同性的采样,这些图像需要在多次屏气过程中采集。因此,由于屏气位置不一致,它们经常受到层面间不连续性的影响。本文提出了一种通过对高分辨率3D数据与径向长轴图像进行逐次屏气配准来校正这些不连续性的方法。校正后的图像看起来没有不连续性,并且发现与未校正的图像相比,它们能够更可重复地描绘。这使得在检测收缩末期血池容积的系统变化时所需的样本量减少了57%,在舒张末期减少了78%。

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