Fast Estimation of Downsampling Factor for Biomedical Image Registration

A. Krylov, F. Guryanov, N. Mamaev, D. Yurin
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引用次数: 1

Abstract

An approach to fasten medical image registration algorithms is suggested. It is based on the preliminary estimation the possible downsampling factor before the registration. The estimation algorithm uses fast bidirectional empirical mode decomposition. An analysis and approvement of the method is performed by multiscale ridge analysis using retinal image database DRIVE, astrocyte images and images from Computed Tomography Emphysema Database. Proposed registration acceleration algorithm was tested for rigid registration methods with HeLa cells video data set.
生物医学图像配准中降采样因子的快速估计
提出了一种加快医学图像配准算法的方法。它是基于在配准前对可能的下采样因子的初步估计。估计算法采用快速双向经验模态分解。利用视网膜图像数据库DRIVE、星形胶质细胞图像和计算机体层摄影肺气肿数据库中的图像进行多尺度脊分析,对该方法进行了分析和验证。以HeLa细胞视频数据集为实验对象,对所提出的配准加速算法进行了刚性配准测试。
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