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2009 Technical Reports

Target Structure Enhancement of Cardiac Magnetic Resonance Images (MRI). A study on the Rician Noise Model of Magnitude MRI

Erich Leung and John Tsotsos

Technical Report CSE-2009-05

York University

Jun 28 2009


This report presents a computational framework for the enhancement of magnitude magnetic resonance (MR) images of the heart. It addresses two sources of degradation of image quality from the perspective of an algorithmic procedure that seeks to recover the anatomical structures of the organ of interest: (1) the effect of image noise and other confounding features that obscure the relevant information of these structures and (2) inadequate image contrast. An analysis of the signal properties of these confounding features leads to the wavelet-based approach presented in this report. An enhancement framework, that is adaptive to both image structures and signal intensity, is developed to attenuate image noise, to remove the confounding features present in the low-intensity regions and to enhance image contrast. The framework is implemented and evaluated on both synthetic and medical test cases with strong supporting evidence for the hypothesis of this report. The experimental findings also demonstrate that the scope of application of the framework can be extended to the class of non-cardiac images.

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