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Article Dans Une Revue Journal of Computer Assisted Tomography Année : 2006

Model-based region-of-interest selection in dynamic breast MRI

Résumé

Magnetic resonance imaging (MRI) is emerging as a, powerful tool for the diagnosis of breast abnormalities. Dynamic analysis of the temporal pattern of contrast uptake has been applied in differential diagnosis of benign and malignant lesions to improve. specificity. Selecting a region of interest (ROI) is an almost universal step in the process of examining the contrast uptake characteristics of a breast lesion. We propose an ROI selection method that combines model-based clustering of the pixels with Bayesian morphology, a new statistical image segmentation method. We then investigate tools for subsequent analysis of signal intensity time course data in the selected region. Results on a database of 19 patients indicate that the method provides informative segmentations and good detection rates.
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Dates et versions

hal-02656483 , version 1 (29-05-2020)

Identifiants

  • HAL Id : hal-02656483 , version 1
  • PRODINRA : 18189

Citer

Florence Forbes, Nathalie Dubois Peyrard Peyrard, C. Fraley, Dianne Georgian-Smith, David M. Goldhaber, et al.. Model-based region-of-interest selection in dynamic breast MRI. Journal of Computer Assisted Tomography, 2006, 30 (4), pp.675-687. ⟨hal-02656483⟩
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