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Proceedings Paper

Subject-specific patch-based denoising for contrast-enhanced cardiac MR images
Author(s): Lorraine Ma; Mehran Ebrahimi; Mihaela Pop
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Paper Abstract

Many patch-based techniques in imaging, e.g., Non-local means denoising, require tuning parameters to yield optimal results. In real-world applications, e.g., denoising of MR images, ground truth is not generally available and the process of choosing an appropriate set of parameters is a challenge. Recently, Zhu et al. proposed a method to define an image quality measure, called Q, that does not require ground truth. In this manuscript, we evaluate the effect of various parameters of the NL-means denoising on this quality metric Q. Our experiments are based on the late-gadolinium enhancement (LGE) cardiac MR images that are inherently noisy. Our described exhaustive evaluation approach can be used in tuning parameters of patch-based schemes. Even in the case that an estimation of optimal parameters is provided using another existing approach, our described method can be used as a secondary validation step. Our preliminary results suggest that denoising parameters should be case-specific rather than generic.

Paper Details

Date Published: 21 March 2016
PDF: 7 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97843R (21 March 2016); doi: 10.1117/12.2217054
Show Author Affiliations
Lorraine Ma, Univ. of Ontario Institute of Technology (Canada)
Mehran Ebrahimi, Univ. of Ontario Institute of Technology (Canada)
Mihaela Pop, Sunnybrook Research Institute (Canada)
Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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