Title :
Application of Weber´s Law to Medical Image Registration to Accommodate Intensity Inhomogeneities
Author :
Quang Tieng ; Vegh, V. ; David, Raluca ; Zhengyi Yang
Author_Institution :
Centre for Adv. Imaging, Univ. of Queensland, Brisbane, QLD, Australia
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.
Keywords :
biomedical MRI; feature extraction; image registration; medical image processing; Weber´s law; affine registration; feature-based registration method; image acquisition; image intensity inhomogeneity; intensity correction method; intensity invariant dense feature extraction; magnetic resonance; medical image registration; monomodality technique; nonlinear warping; Biomedical imaging; Feature extraction; Histograms; Image registration; Magnetic resonance imaging; Measurement; Nonhomogeneous media;
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on
Conference_Location :
Fremantle, WA
Print_ISBN :
978-1-4673-2180-8
Electronic_ISBN :
978-1-4673-2179-2
DOI :
10.1109/DICTA.2012.6411685