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	Author	Guo, Weihong; Huang, Feng
	Title	Adaptive total variation based filtering for MRI images with spatially inhomogeneous noise and artifacts			Type	Conference Article
	Year	2009	Publication	Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on	Abbreviated Journal
	Volume		Issue		Pages	101-104
	Keywords	Grappa; MRI images; Perona-Malik anisotropic diffusion; Sense; adaptive total variation-based filtering; artifact distribution; image reconstruction; k-means segmentation; noise distribution; signal-to-noise ratio; spatially-varying noise levels; adaptive filters; biomedical MRI; filtering theory; image segmentation; medical image processing
	Abstract	The widely adopted total variation (TV) filter is not optimal for MRI images with spatially varying noise levels, not to say those with also artifacts. To better preserve edges and fine structures while sufficiently removing noise and artifacts, we first use local mutual information together with k-means segmentation to automatically locate most of the reliable edges from the noisy input; noise and artifacts distribution at other regions are then studied using local variance; all obtained transparent information in turn guides fully automatic local adjustment of the TV filter. The proposed spatially adaptive TV model has been applied to partially parallel MRI (PP-MRI) image reconstructed using GRAPPA and SENSE. Comparison with Perona-Malik anisotropic diffusion and another adaptive TV verifies that the proposed model provides higher peak signal to noise ratio (PSNR) and results closer to ground truth. Numerical results on many in vivo clinical data sets demonstrate the robustness and viability of the unsupervised method.
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	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication	Boston, MA, USA	Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1945-7928	ISBN	978-1-4244-3931-7	Medium
	Area		Expedition		Conference	ISBI '09
	Notes				Approved	yes
	Call Number	UCF @ kdamkjer @ Guo_2009			Serial	34
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