This review highlights various magnetic resonance image (MRI) segmentation algorithms that employ pattern recognition. The procedures are grouped into two categories: low-to intermediate-level, and high-level image processing. The former consists of grey level histogram analysis, texture definition,
5311131 Magnetic resonance imaging using pattern recognition
โ Scribed by Justin P Smith
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 109 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0730-725X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract Despite its diagnostic value and technological availability, ^1^H NMR spectroscopic imaging (MRSI) has not found its way into clinical routine yet. Prerequisite for the clinical application is an automated and reliable method for the diagnostic evaluation of MRS images. In the present p
Improving the resolution of magnetic resonance imaging (MRI), or, alternatively, reducing the acquisition time, can be quite beneficial for many applications. The main motivation of this work is the assumption that any information that is a priori available on the target image could be used to achie
Next, the manuscripts underwent review by the editorial board of JMRI. This scientific symposium was designed to describe and review current methods of quantitative cerebral perfusion imaging in the human brain using MRI, to evaluate different methods, to describe new developments, and to assess cl
Magnetic resonance imaging (MRI) can now provide maps of human brain function with high spatial and temporal resolution. This noninvasive technique can also map the cortical activation that occurs during focal seizures, as demonstrated here by the results obtained using a conventional 1.5 T clinical