Difference between revisions of "2011 Summer Project Week Quantitative Magnetic Susceptibility Mapping"

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<gallery>
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Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]
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{|
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</gallery>
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|[[File:PD susc est ppm1.png|thumb|200 px|Susceptibility Map 1]]
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|[[File:PD susc est ppm2.png|thumb|200 px|Susceptibility Map 2]]
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'''Full Title of Project'''
 
'''Full Title of Project'''
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Quantitative Magnetic Susceptibility Mapping
  
 
==Key Investigators==
 
==Key Investigators==
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* Utah: Bo Wang, Marcel Prastawa, Guido Gerig
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* MIT: Clare Poynton
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* UCLA: Jack Van Horn, Andrei Irimia, Micah Chambers
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* BWH: Sandy Wells
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* UCLA: Andrei Irimia
  
  
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<h3>Objective</h3>
 
<h3>Objective</h3>
  
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Traumatic brain injury (TBI) occurs when an external force traumatically injures the brain. It is a driving biological problem (DBP) in NA-MIC.
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Quantifying magnetic susceptibility in the brain from the phase of the MR signal provides a non-invasive means for measuring the
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TBI is a major cause of death and disability worldwide, especially in children and young adults.
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accumulation of iron believed to occur with aging and neurodegenerative disease.
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We're working on the supervised segmentation and atlas optimization of longitudinal TBI data.  
 
  
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On anatomical MRI scans, to quantitatively analyze the cortical thickness, white matter changes, we need to have a good segmentation on TBI images. However, for TBI data, standard automated image analysis methods are not robust with respect to the TBI-related changes in image contrast, changes in brain shape, cranial fractures, white matter fiber alterations, and other signatures of head injury.  
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We describe a variational approach to susceptibility estimation that incorporates a tissue-air atlas to resolve ambiguity
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in the susceptibility estimates, while eliminating additional biasfields through application of the Laplacian.  
  
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Results show improved correlation with postmortem iron concentrations relative to competing methods.
  
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The goal for this week is to apply this method to evaluate magnetic susceptibility of lesions associated with TBI.
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
 
Our plan for the project week:
 
Our plan for the project week:
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* Test our preliminary code
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* Discuss applications with collaborators and try to refine the algorithm
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* Discuss with collaborators and try to refine the algorithm
 
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
  
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<!-- Fill this out before Friday's summary presentations - list what you did and how well it worked. -->
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* Algorithm: Improved background field correction, resulting in improved mean susceptibility values:
  
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  Thalamus ( -0.06 ppm )
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  Caudate (0.02 ppm)
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  Putamen (0.05 ppm)
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  Globus Pallidus (0.11 ppm)
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* Applications: Obtained 3 TBI cases from DBP 3, which we are currently analyzing
  
 
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==References==
 
==References==
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* [http://www.nitrc.org/projects/abc ABC]
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* [http://www.na-mic.org/Wiki/index.php/DBP3:UCLA Traumatic brain injury (TBI)]
 
 
</div>
 
</div>

Latest revision as of 14:44, 24 June 2011

Home < 2011 Summer Project Week Quantitative Magnetic Susceptibility Mapping


Susceptibility Map 1
Susceptibility Map 2



Full Title of Project

Quantitative Magnetic Susceptibility Mapping

Key Investigators

  • MIT: Clare Poynton
  • BWH: Sandy Wells
  • UCLA: Andrei Irimia


Objective

Quantifying magnetic susceptibility in the brain from the phase of the MR signal provides a non-invasive means for measuring the accumulation of iron believed to occur with aging and neurodegenerative disease.

We describe a variational approach to susceptibility estimation that incorporates a tissue-air atlas to resolve ambiguity in the susceptibility estimates, while eliminating additional biasfields through application of the Laplacian.

Results show improved correlation with postmortem iron concentrations relative to competing methods.

The goal for this week is to apply this method to evaluate magnetic susceptibility of lesions associated with TBI.

Approach, Plan

Our plan for the project week:

  • Discuss applications with collaborators and try to refine the algorithm

Progress

  • Algorithm: Improved background field correction, resulting in improved mean susceptibility values:
  Thalamus ( -0.06 ppm )
  Caudate (0.02 ppm)
  Putamen (0.05 ppm)
  Globus Pallidus (0.11 ppm)
  • Applications: Obtained 3 TBI cases from DBP 3, which we are currently analyzing

References

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