Improved pediatric MR imaging with compressed sensing.
Purpose: To develop a method that combines parallel imaging and compressed sensing to enable faster and/or higher spatial resolution magnetic resonance (MR) imaging and show its feasibility in a pediatric clinical setting.Materials and Methods: Institutional review board approval was obtained for th...
| Publicado en: | Radiology Vol. 256; no. 2; pp. 607 - 617 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Radiological Society of North America
2010 Aug
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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=105063544&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105063544 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338419 0IQ jtl: Radiology issn: 00338419 maglogo: N pubinfo: dt: 2010 Aug vid: 256 iid: 2 pid: 2091 pub: Radiological Society of North America place: Oak Brook, Illinois artinfo: ui: 105063544 105063544 NLM20529991 2010725397 10.1148/radiol.10091218 NLM20529991 PMC2909438 105063544 ppf: 607 ppct: 10 formats: tig: atl: Improved pediatric MR imaging with compressed sensing. aug: au: Vasanawala SS Alley MT Hargreaves BA Barth RA Pauly JM Lustig M Vasanawala, Shreyas S Alley, Marcus T Hargreaves, Brian A Barth, Richard A Pauly, John M Lustig, Michael affil: Department of Pediatric Radiology, Stanford University School of Medicine, 725 Welch Rd, Room 1679, Stanford, CA 94305-5913, USA sug: subj: Algorithms Image Processing, Computer Assisted Methods Image Enhancement Methods Image Interpretation, Computer Assisted Methods Magnetic Resonance Imaging Methods Adolescence Child Child, Preschool Female Human Infant Infant, Newborn Male Reproducibility of Results Sensitivity and Specificity Adolescent: 13-18 years Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Infant, Newborn: birth-1 month Female Male ab: Purpose: To develop a method that combines parallel imaging and compressed sensing to enable faster and/or higher spatial resolution magnetic resonance (MR) imaging and show its feasibility in a pediatric clinical setting.Materials and Methods: Institutional review board approval was obtained for this HIPAA-compliant study, and informed consent or assent was given by subjects. A pseudorandom k-space undersampling pattern was incorporated into a three-dimensional (3D) gradient-echo sequence; aliasing then has an incoherent noiselike pattern rather than the usual coherent fold-over wrapping pattern. This k-space-sampling pattern was combined with a compressed sensing nonlinear reconstruction method that exploits the assumption of sparsity of medical images to permit reconstruction from undersampled k-space data and remove the noiselike aliasing. Thirty-four patients (15 female and 19 male patients; mean age, 8.1 years; range, 0-17 years) referred for cardiovascular, abdominal, and knee MR imaging were scanned with this 3D gradient-echo sequence at high acceleration factors. Obtained k-space data were reconstructed with both a traditional parallel imaging algorithm and the nonlinear method. Both sets of images were rated for image quality, radiologist preference, and delineation of specific structures by two radiologists. Wilcoxon and symmetry tests were performed to test the hypothesis that there was no significant difference in ratings for image quality, preference, and delineation of specific structures.Results: Compressed sensing images were preferred more often, had significantly higher image quality ratings, and greater delineation of anatomic structures (P < .001) than did images obtained with the traditional parallel reconstruction method.Conclusion: A combination of parallel imaging and compressed sensing is feasible in a clinical setting and may provide higher resolution and/or faster imaging, addressing the challenge of delineating anatomic structures in pediatric MR imaging. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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