首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Fast prospective registration of in vivo MR images of trabecular bone microstructure in longitudinal studies.
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Fast prospective registration of in vivo MR images of trabecular bone microstructure in longitudinal studies.

机译:纵向研究中小梁骨微结构体内MR图像的快速前瞻性配准。

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摘要

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.
机译:在对小梁骨进行微MRI研究以评估响应干预的结构变化中,由于解剖位置(此处是胫骨远端)的方向和位置,随访扫描量通常与基线扫描量通常不完全对齐到扫描仪坐标。由于对小梁网络固有的各向异性和各向异性体素尺寸的影响,无法准确配准对基线图像的随访会引入误差。在这项工作中表明,可以通过将在线预期注册合并到数据采集协议中来克服这些限制。该技术基于在获取高分辨率图像之前进行的1mm各向同性分辨率的短3D定位器扫描。在后续检查过程中,使用依赖于快速傅里叶变换的算法在本地注册定位器图像,以最大化基线定位器和后续定位器之间的相关性。然后将以此方式获得的转换参数输入到扫描仪软件中,以便自动将用于高分辨率后续图像的成像平板定位为与基线扫描一致。根据幻像和人体研究表明,前瞻性配准在基线和后续成像量之间产生了非常紧密的匹配。

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