## Abstract In this article an accurate and efficient technique for tissue typing is presented. The proposed technique is based on Canonical Correlation Analysis, a statistical method able to simultaneously exploit the spectral and spatial information characterizing the Magnetic Resonance Spectrosc
Recovery of spectral data using weighted canonical correlation regression
β Scribed by Niloofar Eslahi; Seyed Hossein Amirshahi; Farnaz Agahian
- Book ID
- 106255849
- Publisher
- Optical Society of Japan
- Year
- 2009
- Tongue
- English
- Weight
- 658 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1340-6000
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The constitutive models for the viscoelasticity of polymers are presented for determining molecular weight distributions (MWDs) from viscosity measurements. The inversion of this model derived from control theory and melt calibration procedure connects the relaxation modulus, viscosity, and other fl
## Abstract A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the spectral and spatial informat