On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI

  • Authors:

  • David Raba;Marta Peracaula;Robert Martí;Joan Martí

  • Affiliations:

  • Institut d'Informàtica i Aplicacions, Campus Montilivi 17071 Ed. P-IV, University of Girona,;Institut d'Informàtica i Aplicacions, Campus Montilivi 17071 Ed. P-IV, University of Girona,;Institut d'Informàtica i Aplicacions, Campus Montilivi 17071 Ed. P-IV, University of Girona,;Institut d'Informàtica i Aplicacions, Campus Montilivi 17071 Ed. P-IV, University of Girona,

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

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Abstract

Multivariate imaging technologies such as Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) have recently gained an important attention as it improves tumour detection. Modelling of contrast media uptake and washout kinetic parameters which are closely related to physiological and anatomical features helps to diagnose and detect a possible cancer. One issue that does not generally receive much attention is the process of detecting regions of interest (ROIs). An automatic region-of-interest (ROI) selection method is presented to avoid the time consuming and subjective task of manual ROI selection, which significantly affects reproducibility and accuracy of measurements.