The contrast-to-noise in relaxation time, synthetic, and weighted-sum MR images
β Scribed by James N. Lee; Stephen J. Riederer
- Publisher
- John Wiley and Sons
- Year
- 1987
- Tongue
- English
- Weight
- 576 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
β¦ Synopsis
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 saturation-recovery 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.
π SIMILAR VOLUMES
## Abstract In this work, the feasibility of using __T__~2Ο~ weighting as an MR contrast mechanism is evaluated. Axial images of a human brain were acquired using a singleβslice spinβlock __T__~2Ο~βweighted pulse sequence and compared to analogous __T__~2~βweighted images of the same slice. The con
CNR studies were performed for human intracranial vessels in 3D Iu[RA data sets. The CNR dependency of different imaging parameters, such as flip angle, fleld of view, echo time. repetition time, and echo readout symmetry. was studied for vessels in the region of the circle of WiWs. A theoretical mo