This paper presents a wavelet-based framework for enhancing the coherent structures attributable to the target organ in cardiac magnetic resonance (MR) images. Previous approaches focus on the Rician nature of noise in magnitude MR images. Image noise is but only one of the confounding factors that obscure the anatomical structures of the target organ. This paper models the image noise in a magnitude MR image in terms of two noise classes which occur over different ranges of signal intensity. An adaptive enhancement scheme is developed to achieve simultaneous attenuation of the effects of these factors and improvement in image contrast.
Adaptive enhancement of cardiac magnetic resonance (CMR) images
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 ; 2 ; 1739-1746 Vol. 2
2005-01-01
618189 byte
Conference paper
Electronic Resource
English
Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images
British Library Conference Proceedings | 2005
|Magnetic resonance image enhancement using V-filter
IEEE | 1990
|3-D Cardiac Volume Analysis Using Magnetic Resonance Imaging
British Library Conference Proceedings | 1998
|Generalized multi-resolution analysis of magnetic resonance images
British Library Online Contents | 1994
|