Difference between revisions of "Project Week/Template"

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(Summer 2013 Radnostics page created)
(Undo revision 81496 by AnthonyBlumfield (Talk))
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__NOTOC__
 
__NOTOC__
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= Spine Segmentation & Osteoporosis Detection In CT Imaging Studies =
 
 
<gallery>
 
<gallery>
 
Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
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Image:spine.png|CT Spine
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Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
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Image:SegmentedSpine.png|Automated Segmentation
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Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
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Image:Radnostics64-3.png|Osteoporosis Detection
 
 
</gallery>
 
</gallery>
  
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<b>Osteoporosis</b>
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==Instructions for Use of this Template==
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#Please create a new wiki page with an appropriate title for your project using the convention 2013_Summer_Project_Week:<Project Name>
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A condition of bone mineral loss affecting the aging population
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#Copy the entire text of this page into the page created above
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* Impacts 200 million people WW
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#Link the created page into the list of projects for the project event
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* Leads to 9 million fractures each year
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#Delete this section from the created page
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* Inflicts pain, morbidity, and mortality
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#Send an email to tkapur at bwh.harvard.edu if you are stuck
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* Direct annual costs: close to $20 billion in the US, €30+ billion in Europe
 
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* Fractures and complications are preventable with lifestyle changes, diet, and medication
 
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* However, <b>Osteoporosis is largely underdiagnosed</b>
 
  
 
==Key Investigators==
 
==Key Investigators==
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* Radnostics: Anthony Blumfield
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* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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* Albert Einstein College of Medicine: Einat Blumfield, MD
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* Utah: Tom Fletcher, Ross Whitaker
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* Jacobi Medical Center: Jay Leb, MD
 
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* BWH: Ron Kikinis, MD
 
  
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
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<h3>Objective</h3>
 
<h3>Objective</h3>
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Radnostics Osteoporosis Detection is a solution for early detection of osteoporosis in CT scans performed for other clinical indications
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We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.
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*Tens of millions of CT scans are performed annually for various medical conditions
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*We measure osteoporosis biomarkers and detect patients at risk
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*100% automated & integrated into the clinical workflow
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
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Create a 3D Slicer v4 command line module for Radnostics Beta2.
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Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below.  The main challenge to this approach is <foo>.
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Our plan for the project week is to first try out <bar>,...
  
 
</div>
 
</div>
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<h3>Progress</h3>
 
<h3>Progress</h3>
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Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
  
  
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==Delivery Mechanism==
 
==Delivery Mechanism==
  
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This work will be delivered to the NA-MIC Kit as a
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This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
  
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#ITK Module
 
#Slicer Module
 
#Slicer Module
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##Built-in
 
##Extension -- commandline
 
##Extension -- commandline
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##Extension -- loadable
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#Other (Please specify)
  
 
==References==
 
==References==
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*http://wiki.na-mic.org/Wiki/index.php/2011-Challenge:Segment-a-spine
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*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
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*http://www.radnostics.com
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* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
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* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
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* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .

Revision as of 21:39, 11 June 2013

Home < Project Week < Template

  • Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

  • Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

Instructions for Use of this Template

  1. Please create a new wiki page with an appropriate title for your project using the convention 2013_Summer_Project_Week:<Project Name>
  2. Copy the entire text of this page into the page created above
  3. Link the created page into the list of projects for the project event
  4. Delete this section from the created page
  5. Send an email to tkapur at bwh.harvard.edu if you are stuck

Key Investigators

  • UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
  • Utah: Tom Fletcher, Ross Whitaker

Objective

We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.




Approach, Plan

Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.

Our plan for the project week is to first try out <bar>,...

Progress

Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.


Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

  1. ITK Module
  2. Slicer Module
    1. Built-in
    2. Extension -- commandline
    3. Extension -- loadable
  3. Other (Please specify)

References

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