Automatic registration of follow-up brain MRI scans

A. Demir, Gozde Unal, K. Karaman
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引用次数: 3

Abstract

Registration of multiple medical images is required for analysis of both pathological and normal anatomical human body structures. In this study, we defined and automatically detected some anatomical landmarks which are considered to be unaffected from brain deformation such as symmetry axis of brain, nose tips, eye ball centers, and location of center of masses of certain slices. Registration is performed using the physical coordinates of automatically detected landmarks. Registration mapping is assumed to be an affine mapping and transformation matrix is formed using a least squares solution. Registered image is obtained using the estimated transformation matrix and trilinear interpolation. Algorithm performance is demonstrated on both MR image volumes deformed synthetically with a known transformation matrix for validation and baseline and follow-up MRI volumes with unknown transformations.
自动登记后续脑部核磁共振扫描
在对人体病理和正常解剖结构进行分析时,需要对多幅医学图像进行配准。在这项研究中,我们定义并自动检测了一些被认为不受大脑变形影响的解剖标志,如大脑的对称轴、鼻尖、眼球中心和某些切片的质心位置。使用自动检测到的地标的物理坐标进行配准。假设配准映射为仿射映射,利用最小二乘解形成变换矩阵。利用估计的变换矩阵和三线性插值得到配准图像。算法的性能在用已知的转换矩阵进行验证的合成变形的MR图像体积和基线和后续的未知转换的MRI体积上得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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