Project: Image Analysis of Pathological Changes


Analysis of Brain Images Presenting Variety of Cerebral Lesion Types

 

We are developing image-segmentation methodology that helps clinical researchers to characterize and quantify a variety of different cerebral lesion types. Standard automated image analysis methods are not robust with respect to pathological changes in image contrast, changes in brain shape, cranial fractures, lesions, white-matter fiber alterations, and other signatures of head injury.

 

project-image-analysis-pathological-changes

 

 

Publications:

  • Prastawa M, Bullitt E, Gerig G, Simulation of brain tumors in MR images, Medical Image Analysis 13 (2009), pp. 297-311, PMID: 19119055

  • Marcel Prastawa and Guido Gerig, Brain Lesion Segmentation through Physical Model Estimation, In Lecture Notes in Computer Science, Vol. 5358, pp. 562--571. 2008.

  • Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig, Automatic Segmentation of MR Images of the Developing Newborn Brain, Medical Image Analysis (MedIA). Vol 9, October 2005, pages 457-466

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