Spectral clustering applied for dynamic contrast-enhanced MR analysis of time–intensity curves

Magnetic resonance imaging (MRI) has become a reference technique for the diagnosis and staging of several types of cancer, including prostate, breast, and liver tumors. The typical multiparametric MRI protocol involves morphologic acquisition of T1-weighted (T1W) and/or T2-weighted (T2W) images as well as functional imaging using diffusion, spectroscopy, and perfusion sequences. Indeed, perfusion or dynamic contrast enhanced (DCE) imaging, which is acquired following injection of a contrast agent, is commonly employed to enhance the characterization of early cancers prior to therapy and to monitor their progression during and after anti-angiogenic or mini invasive treatments [1].

Source: Computerized Medical Imaging and Graphics - August 12, 2014 Category: Radiology Authors: Guillaume Tartare, Denis Hamad, Mustapha Azahaf, Philippe Puech, Nacim Betrouni Source Type: research