Literature DB >> 6089265

Automated MR image synthesis: feasibility studies.

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

Abstract

The authors describe an automated technique of magnetic resonance (MR) image synthesis. Given a specific pulse sequence, MR signals are acquired for several pulse delay and/or repetition times and used to compute images of intrinsic parameters T1, T2, and N(H). Both the computed images and operator-specified pulse delay and repetition times are then used to "synthesize" a new image based on equations descriptive of MR signal behavior and comparable to that acquired by using the operator-specified parameters in an actual MR study. Instrumentation enabling rapid operator-interactive generation of synthesized images is described and initial results presented, allowing for dependence of the signal on T2 in spin echo images. Extension to full T1, T2, and N(H) dependence for arbitrary pulse sequences is described. Major advantages of this technique include retrospective optimization of contrast between arbitrary materials, rapid and systematic image analysis, and reduced scanning time; potential limitations include accuracy, noise, motion artifacts, and multicomponent behavior.

Mesh:

Year:  1984        PMID: 6089265     DOI: 10.1148/radiology.153.1.6089265

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


  25 in total

1.  Magnetic resonance imaging simulator: a teaching tool for radiology.

Authors:  D Rundle; S Kishore; S Seshadri; F Wehrli
Journal:  J Digit Imaging       Date:  1990-11       Impact factor: 4.056

2.  Brain imaging with synthetic MR in children: clinical quality assessment.

Authors:  Aaron M Betts; James L Leach; Blaise V Jones; Bin Zhang; Suraj Serai
Journal:  Neuroradiology       Date:  2016-07-20       Impact factor: 2.804

3.  Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial.

Authors:  L N Tanenbaum; A J Tsiouris; A N Johnson; T P Naidich; M C DeLano; E R Melhem; P Quarterman; S X Parameswaran; A Shankaranarayanan; M Goyen; A S Field
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

4.  Image quality at synthetic brain magnetic resonance imaging in children.

Authors:  So Mi Lee; Young Hun Choi; Jung-Eun Cheon; In-One Kim; Seung Hyun Cho; Won Hwa Kim; Hye Jung Kim; Hyun-Hae Cho; Sun-Kyoung You; Sook-Hyun Park; Moon Jung Hwang
Journal:  Pediatr Radiol       Date:  2017-06-22

5.  A supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis.

Authors:  Can Zhao; Aaron Carass; Junghoon Lee; Amod Jog; Jerry L Prince
Journal:  Simul Synth Med Imaging       Date:  2017-09-26

6.  Clinical validation of synthetic brain MRI in children: initial experience.

Authors:  Hollie West; James L Leach; Blaise V Jones; Marguerite Care; Rupa Radhakrishnan; Arnold C Merrow; Enrique Alvarado; Suraj D Serai
Journal:  Neuroradiology       Date:  2016-11-26       Impact factor: 2.804

Review 7.  Basic principles of magnetic resonance imaging--an update.

Authors:  A L Scherzinger; W R Hendee
Journal:  West J Med       Date:  1985-12

8.  Evaluating Tissue Contrast and Detecting White Matter Injury in the Infant Brain: A Comparison Study of Synthetic Phase-Sensitive Inversion Recovery.

Authors:  D Y Kim; W S Jung; J W Choi; J Choung; H G Kim
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-25       Impact factor: 3.825

9.  Double-inversion recovery with synthetic magnetic resonance: a pilot study for assessing synovitis of the knee joint compared to contrast-enhanced magnetic resonance imaging.

Authors:  Jisook Yi; Young Han Lee; Ho-Taek Song; Jin-Suck Suh
Journal:  Eur Radiol       Date:  2018-11-28       Impact factor: 5.315

10.  Rapid T1 quantification based on 3D phase sensitive inversion recovery.

Authors:  Marcel J B Warntjes; Johan Kihlberg; Jan Engvall
Journal:  BMC Med Imaging       Date:  2010-08-17       Impact factor: 1.930

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