Difference between revisions of "DBP2:MIND:Roadmap"

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* '''Lesion Load Measurement''': Measure volume of each lesion, summarize lesion load by regions
 
* '''Lesion Load Measurement''': Measure volume of each lesion, summarize lesion load by regions
 
* '''Tutorial''':  Documentation will be written for a tutorial and sample data sets will be provided
 
* '''Tutorial''':  Documentation will be written for a tutorial and sample data sets will be provided
 
  
 
==Roadmap==
 
==Roadmap==
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:* The algorithm with the best performance will be incorporated into the NA-MIC kit.
 
:* The algorithm with the best performance will be incorporated into the NA-MIC kit.
 
   
 
   
 +
=== Tutorial ===
 +
:* 5 Publically sharable T1,T2,Flair,Lesion Map data-sets (NIFTI format) will be made available
 +
:* A step by step tutorial will be created
 +
 
=== Schedule ===
 
=== Schedule ===

Revision as of 09:59, 27 September 2007

Home < DBP2:MIND:Roadmap

Brain Lesion Analysis in Neuropsychiatric Systemic Lupus Erythematosus

Objective

We would like to create an end-to-end application within NA-MIC Kit allowing individual analysis of white matter lesions. Such a workflow applied to lupus patients is one goals of the MIND DBP. This page describes the technology roadmap for lesion analysis in the NA-MIC Kit. The basic components necessary for this end-to-end application are:

  • Registration: co-registration of T1-weighted, T2-weighted, and FLAIR images
  • Tissue segmentation: Should be multi-modality, correcting for intensity inhomogeneity and work on non-skull-stripped data.
  • Lesion Localization: Each unique lesion should be detacted and anatomical location summarized
  • Lesion Load Measurement: Measure volume of each lesion, summarize lesion load by regions
  • Tutorial: Documentation will be written for a tutorial and sample data sets will be provided

Roadmap

Starting with several MRI images (weighted-T1, weighted-T2, FLAIR...) we want to obtain lesion maps for each subject. Ultimately, the NA-MIC Kit will provide a workflow for individual and group analysis of lesions. It will be implemented as a set of Slicer3 modules that can be used interactively within the Slicer3 application as well as in batch on a computing cluster using BatchMake.

Next we discuss the main modules and details of current status and development work:

Registration

  • ITK has mutual information registration
  • BRAINS2 has AIR package wrapped

Lesion segmentation

A number of algorithms for fully or semi-automated lesion analysis will be evaluated on brain images from subjects in a study on lupus erythematosis. These include:

  • UNC has a tool called itkEMS Compare Lesion Analysis Tools (marcel)
  • EM-segment (sandy wells)
  • MedX (commercial package)
  • BRAINS2 (magnotta)
  • manual tracing by clinically trained rater

Lesion Localization

  • Freesurfer has tools for labelling
  • BRAINS2

Lesion Load Measurement

  • Freesurfer has tools for measurement of labelled lesions
  • BRAINS2 has tools for measurement of lesions and regional summaries

Performance characterization and validation

  • Data will be collected at both 1.5 and 3T. Data at 1.5T will be obtained with the protocol utilized for current project on lupus at UNM.
  • Data at 3T will be obtained with sequences optimized for segmentation by the group at Utah.
  • Comparisons will be based on the approach developed by Martin-Fernandez et al.
  • The algorithm with the best performance will be incorporated into the NA-MIC kit.

Tutorial

  • 5 Publically sharable T1,T2,Flair,Lesion Map data-sets (NIFTI format) will be made available
  • A step by step tutorial will be created

Schedule