Method and apparatus for computer-aided diagnosis of cancer and product

Abstract

Method and apparatus performing dynamic contrast-enhanced-magnetic resonance imaging on tissue to obtain a plurality of datasets of images. Principal component analysis is performed on each dataset to obtain a covariance matrix and its corresponding eigenvalues and eigenvectors and produce a common base of eigenvectors. The dominant eigenvectors that are not associated with instrumental and random noise, commonly the 2nd eigen-state and the 3rd eigenvectors, or the 1st and 2nd eigen vectors, are correlated with the physiological relevant parameters of the 3TP method to obtain a hybrid method. The fusion of the eigenvectors with the 3TP parameters is dictating a rotation of the two relevant eigenvectors to obtain new rotated eigenvectors that serve to calculate new projection coefficient maps of the rotated eigenvectors for the imaged tissue indicative of physiological relevant parameters reflecting wash-out and wash-in patterns that detect abnormal tissue and distinguishes between cancerous and benign tumors. Computer-readable medium containing program instructions for carrying out the above.

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