Abstract:
Medical image registration is often confronted by the presence of image intensity inhomogeneity, even when the images are acquired of the same subject using mono-modality...Show MoreMetadata
Abstract:
Medical image registration is often confronted by the presence of image intensity inhomogeneity, even when the images are acquired of the same subject using mono-modality techniques. An intensity- invariant dense feature extraction method as inspired by the Weber's Law is proposed as a tool to align and warp medical images containing intensity inhomogeneity issues through a feature-based registration method. Registration performance was evaluated using magnetic resonance and histology images and the results were compared to two established intensity correction methods. Our findings show that the proposed method performs comparably in the case of affine registration, and outperforms the other two methods when non-linear warping is used as part of the registration process.
Published in: 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)
Date of Conference: 03-05 December 2012
Date Added to IEEE Xplore: 17 January 2013
ISBN Information: