Prioritization of Brain MRI Volumes Using Medical Image Perception Model and Tumor Region Segmentation

Comput Biol Med. 2013 Oct;43(10):1471-83. doi: 10.1016/j.compbiomed.2013.07.001. Epub 2013 Jul 10.


The objective of the present study is to explore prioritization methods in diagnostic imaging modalities to automatically determine the contents of medical images. In this paper, we propose an efficient prioritization of brain MRI. First, the visual perception of the radiologists is adapted to identify salient regions. Then this saliency information is used as an automatic label for accurate segmentation of brain lesion to determine the scientific value of that image. The qualitative and quantitative results prove that the rankings generated by the proposed method are closer to the rankings created by radiologists.

Keywords: Image ranking; MRI; Medical image perception; Tumor detection and N-cut segmentation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artifacts
  • Brain / anatomy & histology*
  • Brain / pathology*
  • Brain Neoplasms / pathology*
  • Databases, Factual
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • ROC Curve