Investigation of the microstructure of the isolated rat heart: A comparison between T*2- and diffusion-weighted MRI
✍ Scribed by Sascha Köhler; Karl-Heinz Hiller; Christiane Waller; Wolfgang R. Bauer; Axel Haase; Peter M. Jakob
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 367 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Myocardial fiber structure can be determined with diffusion‐weighted (DW) MRI as well as with high‐resolution T*~2~ imaging. The purpose of the present study was twofold: to provide a more quantitative description of T*~2~‐based myocardial fiber contrast, and to compare the T*~2~‐based fiber structure with high‐resolution (78 μm in‐plane, 1‐mm slice thickness) DW images of the isolated rat heart at 11.75 T. This study demonstrates that the static dephasing regime is responsible for visualization of myocardial microstructure, and that the dynamic dephasing regime can be neglected. In comparison with DW experiments, T*~2~ mapping and DW images yield almost equivalent information on myocardial fiber structure. Magn Reson Med 50:1144–1150, 2003. © 2003 Wiley‐Liss, Inc.
📜 SIMILAR VOLUMES
## Abstract In this study, diffusion‐weighted images of the human prostate were successfully obtained, enabling quantification of apparent diffusion coefficients (ADCs) in normal and pathologic regions. A dual acquisition fast spin‐echo sequence was used for accurate __T__~2~ calculation. __T__~2~
## Abstract Osteoarthritic joints regularly exhibit synovitis, which is ideally assessed on contrast‐enhanced MRI. Manual segmentation is the reference standard for volumetric analysis but is labor intensive. The aim was to evaluate alternative semiautomated approaches of targeted thresholding and
## Abstract In 49 patients who had pelvic abnormalities, breath‐hold T2‐weighted fast‐recovery (FR)‐fast spin‐echo (FSE) (imaging time = 24 sec) and nonbreath‐hold FSE MR images (2 min 8 sec) were compared qualitatively (on a four‐point scale) and quantitatively (using signal‐to‐noise ratios (SNRs)