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Robust whole-brain segmentation: application to traumatic brain injury.

Christian Ledig1, Rolf A Heckemann2, Alexander Hammers3

  • 1Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.

Medical Image Analysis
|January 19, 2015
PubMed
Summary

This study introduces MALP-EM, a robust automatic segmentation framework for MR brain images. It accurately segments healthy and traumatic brain injury (TBI) scans, aiding in outcome prediction.

Keywords:
Brain image segmentationExpectation–maximisationMagnetic resonance imagingMulti-atlas segmentationTraumatic brain injury

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Traumatic Brain Injury l: Introduction01:28

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DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...
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