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

@article{Forbes2006ModelbasedRS,
  title={Model-based region-of-interest selection in dynamic breast MRI.},
  author={Florence Forbes and Nathalie Peyrard and Chris Fraley and Dianne Georgian-Smith and David M Goldhaber and Adrian E. Raftery},
  journal={Journal of computer assisted tomography},
  year={2006},
  volume={30 4},
  pages={675-87}
}
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… CONTINUE READING
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