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纵向研究中骨小梁微结构体内磁共振图像的快速前瞻性配准。

Fast prospective registration of in vivo MR images of trabecular bone microstructure in longitudinal studies.

作者信息

Rajapakse Chamith S, Magland Jeremy F, Wehrli Felix W

机构信息

Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania School of Medicine, 3400 Spruce Street, Philadelphia, PA 19104, USA.

出版信息

Magn Reson Med. 2008 May;59(5):1120-6. doi: 10.1002/mrm.21593.

Abstract

In micro-MRI studies of trabecular bone designed to evaluate structural changes in response to intervention, follow-up scan volumes do not typically align exactly with the baseline scan volumes due to the orientation and placement of the anatomic location, here the distal tibia, relative to the scanner coordinates. Failure of accurate registration of the follow-up to the baseline images introduces errors due to the inherent anisotropy in the trabecular network and anisotropic voxel size. In this work it is shown that these limitations can be overcome by incorporating on-line prospective registration into the data acquisition protocol. The technique is based on a short 3D localizer scan of 1 mm isotropic resolution prior to acquiring the high-resolution images. During the follow-up exam, localizer images are registered on-site with an algorithm relying on a fast Fourier transform for maximizing the correlation between baseline and follow-up localizers. Transformation parameters obtained in this manner are then fed into the scanner software so that the imaging slab for the high-resolution follow-up images is automatically positioned consistent with that of the baseline scan. Based on phantom and human subject studies it is shown that prospective registration yields very close matching between baseline and follow-up imaging volumes.

摘要

在旨在评估小梁骨对干预反应的结构变化的显微磁共振成像(micro-MRI)研究中,由于解剖位置(此处为胫骨远端)相对于扫描仪坐标的方向和位置,随访扫描体积通常不会与基线扫描体积完全对齐。由于小梁网络固有的各向异性和各向异性体素大小,随访图像与基线图像的精确配准失败会引入误差。在这项工作中表明,通过将在线前瞻性配准纳入数据采集协议,可以克服这些限制。该技术基于在获取高分辨率图像之前进行的1毫米各向同性分辨率的短3D定位扫描。在随访检查期间,定位图像在现场使用一种算法进行配准,该算法依靠快速傅里叶变换来最大化基线和随访定位器之间的相关性。然后将以这种方式获得的变换参数输入到扫描仪软件中,以便高分辨率随访图像的成像层自动与基线扫描的成像层一致定位。基于体模和人体研究表明,前瞻性配准可使基线和随访成像体积之间非常接近匹配。

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