The contrast-to-noise in relaxation time, synthetic, and weighted-sum MR images
- 1 July 1987
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 5 (1) , 13-22
- https://doi.org/10.1002/mrm.1910050103
Abstract
The contrast-to-noise ratio (CNR) in three types of computed MR images is compared in a computer simulation. The original data consist of two spin-echo or two saturationrecovery images. Each pair of images is used to generate a relaxation time image, a synthetic image at arbitrary echo or repetition time, and an image which is a weighted sum of the original images. The CNR produced by these three methods is compared for signals spanning a wide range of relaxation times. In every comparison an optimally weighted sum produces the highest CNR that is statistically attainable. The CNR in the optimum synthetic image equals this bound only if contrast reversal does not occur in the original images. The CNR in relaxation time images is always less than the statistical bound and can be less than the CNR in the original images. © 1987 Academic Press, Inc.Keywords
This publication has 13 references indexed in Scilit:
- An analysis of noise propagation in computed T2, pseudodensity, and synthetic spin‐echo imagesMedical Physics, 1986
- The precision of TR extrapolation in magnetic resonance image synthesisMedical Physics, 1986
- A modified saturation‐recovery approximation for multiple spin‐echo pulse sequencesMagnetic Resonance in Medicine, 1986
- Strategies and tactics in NMR imaging relaxation time measurements. I. Minimizing relaxation time errors due to image noise—the ideal caseMagnetic Resonance in Medicine, 1985
- Automated MR image synthesis: feasibility studies.Radiology, 1984
- Signal to Noise in Derived NMR ImagesMagnetic Resonance in Medicine, 1984
- Signal, Noise, and Contrast in Nuclear Magnetic Resonance (NMR) ImagingJournal of Computer Assisted Tomography, 1983
- Spin warp NMR imaging and applications to human whole-body imagingPhysics in Medicine & Biology, 1980
- A line scan image study of a tumorous rat leg by NMRPhysics in Medicine & Biology, 1978
- An Analysis of the factors which determine signal/noise discrimination in pulsed-carrier systemsProceedings of the IEEE, 1963