Water-fat separation incorporating spatial smoothing is robust to noise

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Fältnamn	Indikatorer	Metadata
000		03342naa a2200409 4500
001		oai:DiVA.org:uu-347450
003		SwePub
008		180403s2018 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3474502 URI
024	7	a https://doi.org/10.1016/j.mri.2018.03.0152 DOI
040		a (SwePub)uu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Andersson, Jonathanu Uppsala universitet,Radiologi4 aut0 (Swepub:uu)jonan358
245	1 0	a Water-fat separation incorporating spatial smoothing is robust to noise
264	1	b Elsevier BV,c 2018
338		a electronic2 rdacarrier
520		a PURPOSE: To develop and evaluate a noise-robust method for reconstruction of water and fat images for spoiled gradient multi-echo sequences.METHODS: The proposed method performs water-fat separation by using a graph cut to minimize an energy function consisting of unary and binary terms. Spatial smoothing is incorporated to increase robustness to noise. The graph cut can fail to find a solution covering the entire image, in which case the relative weighting of the unary term is iteratively increased until a complete solution is found. The proposed method was compared to two previously published methods. Reconstructions were performed on 16 cases taken from the 2012 ISMRM water-fat reconstruction challenge dataset, for which reference reconstructions were provided. Robustness towards noise was evaluated by reconstructing images with different levels of noise added. The percentage of water-fat swaps were calculated to measure performance.RESULTS: At low noise levels the proposed method produced similar results to one of the previously published methods, while outperforming the other. The proposed method significantly outperformed both of the previously published methods at moderate and high noise levels.CONCLUSION: By incorporating spatial smoothing, an increased robustness towards noise is achieved when performing water-fat reconstruction of spoiled gradient multi-echo sequences.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
653		a Chemical shift imaging
653		a Dixon
653		a Graph cuts
653		a Multi-scale
653		a Quadratic pseudo-Boolean optimization
653		a Water-fat separation
700	1	a Ahlström, Håkan,d 1953-u Uppsala universitet,Radiologi,Antaros Med, Molndal, Sweden4 aut0 (Swepub:uu)hakanahl
700	1	a Kullberg, Joelu Uppsala universitet,Radiologi,Antaros Med, Molndal, Sweden4 aut0 (Swepub:uu)jokul377
710	2	a Uppsala universitetb Radiologi4 org
773	0	t Magnetic Resonance Imagingd : Elsevier BVg 50, s. 78-83q 50<78-83x 0730-725Xx 1873-5894
856	4	u https://doi.org/10.1016/j.mri.2018.03.015y Fulltext
856	4	u https://uu.diva-portal.org/smash/get/diva2:1194466/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4	u https://doi.org/10.1016/j.mri.2018.03.015
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-347450
856	4 8	u https://doi.org/10.1016/j.mri.2018.03.015

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