Literature DB >> 6470247

Isosignal contours and signal gradients as an aid to choosing MR imaging techniques.

D Kurtz, A Dwyer.   

Abstract

The signal strength of a magnetic resonance (MR) image depends on a variety of factors, including the tissue properties of proton density (p) and relaxation times (T1 and T2) and the scanning sequence. Given this complex interrelation of factors, a graphic method of displaying the image intensity for various tissue properties is needed. In this paper we use isosignal contour curves to display "topographically" the relationships of signal intensity to the tissue properties of p, T1, and T2 for a variety of operator settings in the techniques of saturation recovery, inversion recovery, and spin echo. We further demonstrate the utility of these curves in explaining image appearances and in choosing appropriate pulse sequences for imaging.

Mesh:

Year:  1984        PMID: 6470247     DOI: 10.1097/00004728-198410000-00002

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  4 in total

1.  Optimization of survey protocols for MRI.

Authors:  E R McVeigh; R M Henkelman; M J Bronskill
Journal:  Magn Reson Med       Date:  1990-02       Impact factor: 4.668

2.  Optimization of MR protocols: a statistical decision analysis approach.

Authors:  E R McVeigh; M J Bronskill; R M Henkelman
Journal:  Magn Reson Med       Date:  1988-03       Impact factor: 4.668

Review 3.  Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images.

Authors:  Ian R Young; Nikolaus M Szeverenyi; Jiang Du; Graeme M Bydder
Journal:  Quant Imaging Med Surg       Date:  2020-05

4.  Magnetic resonance imaging versus computed tomography in the evaluation of soft tissue tumors of the extremities.

Authors:  A E Chang; Y L Matory; A J Dwyer; S C Hill; M E Girton; S M Steinberg; R H Knop; J A Frank; D Hyams; J L Doppman
Journal:  Ann Surg       Date:  1987-04       Impact factor: 12.969

  4 in total

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