Difference between revisions of "2013 Summer Project Week:Epilepsy Surgery"

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<h3>Results</h3>
 
<h3>Results</h3>
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<b>Classifier</b>
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<li>Once segmented, the images are analyzed using texture descriptors from the intensity histogram and local pixels dependence measures proposed by Haralick were extracted.
 +
Subsequently, the set of feature vectors from the segmented images is evaluated using three classifiers in WEKA environment.
 +
<li>Images of 32 patients with TLE were used, 15 of those exhibiting blurring phenomenon in TL and 17 do not.
 +
<li>In total, a set of 98 planar images was segmented, and 51 are classified in "with blurring" category and 47 "without blurring" category.
  
  

Revision as of 04:34, 21 June 2013

Home < 2013 Summer Project Week:Epilepsy Surgery

Key Investigators

  • USP - Luiz Murta

Objective

This project will investigate the presence and location of the epileptogenic focus in temporal lobe by analyzing patterns of texture in magnetic resonance imaging (MRI) after segmentation using anisotropic diffusion filters anomalous and geodesic active contour.

  • The Temporal Lobe Epilepsy (TLE) with hippocampal sclerosis affects other mesial temporal lobe structures, showing the change in signal intensity of white matter (WM) and gray matter (GM) in Magnetic Resonance Imaging (MRI) in patients with TLE.
  • Such abnormalities of signal intensity changes in the temporal lobes, or loss of marking between WM and GM are referred as blurring in literature.
  • TLE is the most common type of refractory epilepsy in adults, and thus strong candidate to surgery.

    Purpose
  • To provide a better quality of life for those with TLE, a surgical procedure is usually proposed for extracting the brain region that is the focus of epilepsy.
  • This project aims to implment a semi-automated method capable of locating lesions, that is difficult to be detected by visual inspection, is built to help experts identify tissues presenting blurring in temporal lobes.
  • The proposed software tool was developed in C + +, using three toolkits to support: VTK, ITK and QT.
  • To provide segmentation of the temporal lobes, we used the Geodesic Active Contour method combined with the anomalous anisotropic diffusion filter.
  • Progress

    Examples:
    Ex a.png
    Normal MRI at mesial temporal lobe

    Ex b.png
    MRI containing blurring phenomena on right side as indicated by the yellow arrow


    Methods

    Param.png ImageUI.png
    Default adjustable parameters, and original image,

    Segmented TL córtex SegmB.png SegmR.png


    Results

    Classifier

  • Once segmented, the images are analyzed using texture descriptors from the intensity histogram and local pixels dependence measures proposed by Haralick were extracted. Subsequently, the set of feature vectors from the segmented images is evaluated using three classifiers in WEKA environment.
  • Images of 32 patients with TLE were used, 15 of those exhibiting blurring phenomenon in TL and 17 do not.
  • In total, a set of 98 planar images was segmented, and 51 are classified in "with blurring" category and 47 "without blurring" category.


  • References

    • Shaker, M. & Soltanian-Zadeh, H., 2008. Voxel-Based Morphometric Study of Brain Regions from Magnetic Resonance Images in Temporal Lobe Epilepsy. Image Analysis and Interpretation, 2008. SSIAI 2008. IEEE Southwest Symposium on, 209-212.