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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters
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Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters

机译：MR股骨近端图像的三维图像配准以分析小梁骨参数

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摘要

This study investigated the feasibility of automatic image registration of MR high-spatial resolution proximal femur trabecular bone images as well as the effects of gray-level interpolation and volume of interest (VOI) misalignment on MR-derived trabecular bone structure parameters. For six subjects, a baseline scan and a follow-up scan of the proximal femur were acquired on the same day. An automatic image registration technique, based on mutual information, utilized a baseline and a follow-up scan to compute transform parameters that aligned the two images. These parameters were subsequently used to transform the follow-up image with three different gray-level interpolators. Nearest neighbor interpolation and b-spline approximation did not significantly alter bone parameters, while linear interpolation significantly modified bone parameters (p<0.01). Improvement in image alignment due to the automatic registration was determined by visually inspecting difference images and 3D renderings. This work demonstrates the first application of automatic registration, without prior segmentation, of high-spatial resolution trabecular bone MR images of the proximal femur. Additionally, effects due to imprecise analysis volume alignment are investigated. Inherent heterogeneity in trabecular bone structure and imprecise positioning of the VOI along the slice (A/P) direction resulted in significant changes in bone parameters (p<0.01). Results suggest that automatic mutual information registration using nearest-neighbor gray-level interpolation to transform the final image ensures VOI alignment between baseline and follow-up images and does not compromise the integrity of MR-derived trabecular bone parameters.
机译：这项研究调查了MR高空间分辨率股骨近端小梁骨图像自动图像配准的可行性，以及灰度内插和目标体积（VOI）未对准对MR衍生的小梁骨结构参数的影响。对于六名受试者，在同一天进行了基线扫描和股骨近端的随访扫描。一种基于相互信息的自动图像配准技术，利用基线和后续扫描来计算对齐两个图像的变换参数。这些参数随后被用于通过三个不同的灰度内插器来变换后续图像。最近邻插值和b样条逼近并没有显着改变骨骼参数，而线性插值显着改变了骨骼参数（p <0.01）。通过视觉检查差异图像和3D渲染来确定由于自动配准而导致的图像对齐方式的改进。这项工作演示了在没有事先分割的情况下自动配准股骨近端的高空间分辨率小梁骨MR图像的首次应用。此外，研究了由于不精确的分析体积对齐而产生的影响。小梁骨结构的固有异质性和VOI沿切片（A / P）方向的不精确定位导致骨骼参数发生显着变化（p <0.01）。结果表明，使用最近邻灰度内插法对最终图像进行自动互信息配准可以确保基线图像和后续图像之间的VOI对齐，并且不会损害MR衍生的小梁骨参数的完整性。

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