By their local dependence on different biological, chemical and structural tissue properties, biomedical imaging signal generating mechanisms provide the detection of tissue transformations for diagnostic and/or prognostic purposes. Whereas multimodal imaging improves inaccuracies originating from signal overlaps between malignant and benign conditions, it creates a data deluge with inter– and intra–observer bias.
This invention can be used in biopsies, image guided therapies, robotic surgery, and diagnosis of cancer or other diseases of different organs such as prostate, kidney and brain. Additionally, this invention discloses a method of reduction in visualization of large amounts of data by looking at the feature space to evaluate the situation rather than having to go through a large number of images.