Proceedings ArticleDOI
Volumetric image registration by template matching
Lijun Ding,Thisath C. Kularatna,A. Ardeshir Goshtasby,Martin Satter +3 more
- Vol. 3979, pp 1235-1246
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TLDR
A template-matching approach to registration of volumetric images is described, and different similarity measures used in template matching are discussed and preliminary results are presented.Abstract:
A template-matching approach to registration of volumetric images is described. The process automatically selects about a dozen highly detailed and unique templates (cubic or spherical subvolumes) from the target volume and locates the templates in the reference volume. The centroids of the 'best' four correspondences are then used to determine the transformation matrix that resamples the target volume to overlay the reference volume. Different similarity measures used in template matching are discussed and preliminary results are presented. The proposed registration method produces a median error of 2.8 mm when registering Venderbilt image data sets, with average registration time of 2.5 minutes on a 400 MHz PC.read more
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Image Registration Guided by Particle Filter
TL;DR: This work has adapted the Particle Filter to carry out the registration of unimodal and multimodal images, and performed a series of preliminary tests, where the proposed method has proved to be efficient, robust, and easy to implement.
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