Difference between revisions of "2010 Winter Project Week TBISegmentation"

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<h3>Objective</h3>
 
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Traumatic Brain Injury (TBI) is caused by severe impact to the brain, which may result in skull fracture, lesions, and internal bleeding. Treatment for TBI involves significant surgery. The complication involved necessitates multiple imaging scans, such as CT for planning the surgeries and multimodal MRI for assessing the surgical treatment. We plan to study the process that occur in typical TBI patients and determine regions that are damaged and how they behave. The first step in analyzing these patient data is the segmentation of the different regions (edema, bleeding, etc) from multiple MRI modalities (T1w, T2w, T2w-blood, SWI).
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Traumatic Brain Injury (TBI) is caused by severe impact to the brain, which may result in skull fracture, lesions, and internal bleeding. Full assessment of these injuries is possible via multi-modality imaging, here T1w, T2, T1-postcontrast, Flair (fluid attenuated inversion recovery), SWI (susceptibility weighted imaging), DTI). Joint analysis of these modalities requires co-registration of these sets which come with different orientations, spatial resolution and head coverage. Segmentation of brain tissue, fluid and pathology requires efficient procedures for multi-modal analysis of images with classification of lesions. Preferably, such a procedure should be automatic given the presence of small-scale pathology such as lesions, bleedings and ventricular shape alterations, or involve efficient, easy and intuitive expert interaction to support an automated classification algorithm.
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
We propose an atlas based segmentation method, which makes use of normative data (spatial and intensity) for isolating abnormal regions that are likely due to injury.
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We propose an atlas based segmentation method, which makes use of normative data (spatial and intensity) for isolating abnormal regions that are likely due to injury.  
  
 
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Revision as of 01:47, 8 December 2009

Home < 2010 Winter Project Week TBISegmentation


Key Investigators

  • Marcel Prastawa, Guido Gerig, University of Utah
  • Ron Kikinis, BWH
  • UCLA

Objective

Traumatic Brain Injury (TBI) is caused by severe impact to the brain, which may result in skull fracture, lesions, and internal bleeding. Full assessment of these injuries is possible via multi-modality imaging, here T1w, T2, T1-postcontrast, Flair (fluid attenuated inversion recovery), SWI (susceptibility weighted imaging), DTI). Joint analysis of these modalities requires co-registration of these sets which come with different orientations, spatial resolution and head coverage. Segmentation of brain tissue, fluid and pathology requires efficient procedures for multi-modal analysis of images with classification of lesions. Preferably, such a procedure should be automatic given the presence of small-scale pathology such as lesions, bleedings and ventricular shape alterations, or involve efficient, easy and intuitive expert interaction to support an automated classification algorithm.

Approach, Plan

We propose an atlas based segmentation method, which makes use of normative data (spatial and intensity) for isolating abnormal regions that are likely due to injury.

Progress

We have a working program written in C++ using ITK. We will wrap it as a Slicer module.

References