Fast lipid and water levels by extraction with spatial smoothing (FLAWLESS): three-dimensional volume fat/water separation at 7 Tesla.
Purpose: To quickly and robustly separate fat/water components of 7T MR images in the presence of field inhomogeneity for the study of metabolic disorders in small animals.Materials and Methods: Starting with a Markov random field (MRF) based formulation for the 3-point Dixon separation problem, we...
| Publicado en: | Journal of Magnetic Resonance Imaging Vol. 33; no. 6; pp. 1464 - 1474 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104904126&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104904126 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10531807 O63 jtl: Journal of Magnetic Resonance Imaging issn: 10531807 maglogo: Y pubinfo: dt: Jun2011 vid: 33 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104904126 NLM21591017 2011062664 10.1002/jmri.22525 NLM21591017 PMC3285449 104904126 ppf: 1464 ppct: 10 formats: tig: atl: Fast lipid and water levels by extraction with spatial smoothing (FLAWLESS): three-dimensional volume fat/water separation at 7 Tesla. aug: au: Narayan S Huang F Johnson D Gargesha M Flask CA Zhang GQ Wilson DL Narayan, Sreenath Huang, Fangping Johnson, David Gargesha, Madhusudhana Flask, Chris A Zhang, Guo-Qiang Wilson, David L affil: Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA sug: subj: Adipose Tissue Body Water Magnetic Resonance Imaging Methods Algorithms Animal Studies Diagnostic Imaging Image Processing, Computer Assisted Methods Mice Models, Statistical Models, Theoretical Phantoms, Imaging Probability ab: Purpose: To quickly and robustly separate fat/water components of 7T MR images in the presence of field inhomogeneity for the study of metabolic disorders in small animals.Materials and Methods: Starting with a Markov random field (MRF) based formulation for the 3-point Dixon separation problem, we incorporated new implementation strategies, including stability tracking, multiresolution image pyramid, and improved initial value generation. We term the new method FLAWLESS (Fast Lipid And Water Levels by Extraction with Spatial Smoothing).Results: Compared with non-MRF techniques, FLAWLESS decreased the fat-water swapping mistakes in all of the three-dimensional (3D) animal volumes that we tested. FLAWLESS converged in approximately 1/60th of the computation time of other MRF approaches. The initial value generation of FLAWLESS further improved robustness to field inhomogeneity in 3D volume data.Conclusion: We have developed a novel 3-point Dixon technique found to be useful for high field small animal imaging. It is being used to assess lipid depots and metabolic disorders as a function of genes, diet, age, and therapy. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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