Principal Component Analysis of Dynamic Contrast Enhanced MRI in Human Prostate Cancer
Investigative Radiology, 03/22/2010
Eyal E et al. – PCA adjusted to correlate with physiological parameters selects a dominant eigenvector, free of the inhomogeneous radio–frequency field reception–profile and noise–components. Projection coefficient maps of this eigenvector provide a fast, objective, and standardized means for visualizing prostate cancer.







