Parallel MR imaging.
Parallel imaging is a robust method for accelerating the acquisition of magnetic resonance imaging (MRI) data, and has made possible many new applications of MR imaging. Parallel imaging works by acquiring a reduced amount of k-space data with an array of receiver coils. These undersampled data can...
| Publicado en: | Journal of Magnetic Resonance Imaging Vol. 36; no. 1; pp. 55 - 73 |
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| Autores principales: | , , , , , , , |
| Formato: | review Journal Article |
| Publicado: |
Wiley-Blackwell
Jul2012
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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=104462825&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104462825 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10531807 O63 jtl: Journal of Magnetic Resonance Imaging issn: 10531807 maglogo: Y pubinfo: dt: Jul2012 vid: 36 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104462825 NLM22696125 2011586028 10.1002/jmri.23639 NLM22696125 PMC4459721 104462825 ppf: 55 ppct: 18 formats: tig: atl: Parallel MR imaging. aug: au: Deshmane A Gulani V Griswold MA Seiberlich N Deshmane, Anagha Gulani, Vikas Griswold, Mark A Seiberlich, Nicole affil: Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA sug: subj: Algorithms Image Enhancement Methods Magnetic Resonance Imaging Methods Subtraction Technique ab: Parallel imaging is a robust method for accelerating the acquisition of magnetic resonance imaging (MRI) data, and has made possible many new applications of MR imaging. Parallel imaging works by acquiring a reduced amount of k-space data with an array of receiver coils. These undersampled data can be acquired more quickly, but the undersampling leads to aliased images. One of several parallel imaging algorithms can then be used to reconstruct artifact-free images from either the aliased images (SENSE-type reconstruction) or from the undersampled data (GRAPPA-type reconstruction). The advantages of parallel imaging in a clinical setting include faster image acquisition, which can be used, for instance, to shorten breath-hold times resulting in fewer motion-corrupted examinations. In this article the basic concepts behind parallel imaging are introduced. The relationship between undersampling and aliasing is discussed and two commonly used parallel imaging methods, SENSE and GRAPPA, are explained in detail. Examples of artifacts arising from parallel imaging are shown and ways to detect and mitigate these artifacts are described. Finally, several current applications of parallel imaging are presented and recent advancements and promising research in parallel imaging are briefly reviewed. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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