Magnetic resonance-guided positron emission tomography image reconstruction.
The resolution of positron emission tomography (PET) images is limited by the physics of positron-electron annihilation and instrumentation for photon coincidence detection. Model-based methods that incorporate accurate physical and statistical models have produced significant improvements in recons...
| Publicado en: | Seminars in Nuclear Medicine Vol. 43; no. 1; pp. 30 - 45 |
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| Autores principales: | , , , , , |
| Formato: | review Journal Article |
| Publicado: |
W B Saunders
Jan2013
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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=104228188&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104228188 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00012998 10RZ jtl: Seminars in Nuclear Medicine issn: 00012998 maglogo: N pubinfo: dt: Jan2013 vid: 43 iid: 1 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 104228188 NLM23178087 2012272171 10.1053/j.semnuclmed.2012.08.006 NLM23178087 PMC3670801 104228188 ppf: 30 ppct: 15 formats: tig: atl: Magnetic resonance-guided positron emission tomography image reconstruction. aug: au: Bai B Li Q Leahy RM Bai, Bing Li, Quanzheng Leahy, Richard M affil: Department of Radiology, University of Southern California, Los Angeles, CA, USA sug: subj: Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Tomography, Emission-Computed Methods Animals ab: The resolution of positron emission tomography (PET) images is limited by the physics of positron-electron annihilation and instrumentation for photon coincidence detection. Model-based methods that incorporate accurate physical and statistical models have produced significant improvements in reconstructed image quality when compared with filtered backprojection reconstruction methods. However, it has often been suggested that by incorporating anatomical information, the resolution and noise properties of PET images could be further improved, leading to better quantitation or lesion detection. With the recent development of combined MR-PET scanners, we can now collect intrinsically coregistered magnetic resonance images. It is therefore possible to routinely make use of anatomical information in PET reconstruction, provided appropriate methods are available. In this article, we review research efforts over the past 20 years to develop these methods. We discuss approaches based on the use of both Markov random field priors and joint information or entropy measures. The general framework for these methods is described, and their performance and longer-term potential and limitations are discussed. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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