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 - Category: Radiology Authors: Guillaume Tartare, Denis Hamad, Mustapha Azahaf, Philippe Puech, Nacim Betrouni Source Type: research
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