Classification of suspected liver metastases using fMRI images: a machine learning approach.

This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical modeling to characterize colorectal hepatic metastases and follow their early hemodynamical changes. Changes in hepatic hemodynamics are evaluated from T2*-W fMRI images acquired during the breathing of air, air-CO2, and carbogen.