Literature DB >> 4001377

Synthesized MR images: comparison with acquired images.

S A Bobman, S J Riederer, J N Lee, S A Suddarth, H Z Wang, J R MacFall.   

Abstract

Synthesized and directly acquired spin-echo images were compared in order to assess the validity of magnetic resonance (MR) image synthesis as a method enabling retrospective formation of images by interactive manipulation of scan parameters. Synthetic images subjectively compared favorably in both accuracy and precision with acquired images when formed for the same values of echo (TE) and repetition times (TR) and for interpolated and extrapolated values of both TE and TR. Plots of synthetic and acquired signals within the same pixel sectors quantitatively showed comparable values for several regions of interest in the brain. Percent error and noise-normalized differences between acquired and synthetic images were tested as a quantitative measure of accuracy. Percent error was consistently less than 5% for brain parenchyma, and synthetic signals were accurate to within four times the noise level at acquisition. The apparent signal-to-noise ratio of synthetic images was comparable, superior, or inferior to similar acquired images, depending on the values of TE and TR. Total acquisition time required for synthetic formation of images for arbitrary values of TE and TR was equivalent to that of a single direct acquisition with a TR of 2,500 msec.

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Year:  1985        PMID: 4001377     DOI: 10.1148/radiology.155.3.4001377

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Synthetic magnetic resonance imaging revisited.

Authors:  Ranjan Maitra; John J Riddles
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

2.  Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.

Authors:  Amaresha Shridhar Konar; Akash Deelip Shah; Ramesh Paudyal; Maggie Fung; Suchandrima Banerjee; Abhay Dave; Vaios Hatzoglou; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2022-05-27       Impact factor: 6.575

3.  Validity of SyMRI for Assessment of the Neonatal Brain.

Authors:  Victor Schmidbauer; Gudrun Geisl; Mariana Cardoso Diogo; Suren Jengojan; Vsevolod Perepelov; Michael Weber; Katharina Goeral; Florian Lindenlaub; Katrin Klebermass-Schrehof; Angelika Berger; Daniela Prayer; Gregor Kasprian
Journal:  Clin Neuroradiol       Date:  2020-03-11       Impact factor: 3.649

4.  SyMRI detects delayed myelination in preterm neonates.

Authors:  Victor Schmidbauer; Gudrun Geisl; Mariana Diogo; Michael Weber; Katharina Goeral; Katrin Klebermass-Schrehof; Angelika Berger; Daniela Prayer; Gregor Kasprian
Journal:  Eur Radiol       Date:  2019-07-08       Impact factor: 5.315

  4 in total

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