Difference between revisions of "Project Week 25/CNN for PseudoCT Generation from T1T2 MR"

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==Illustrations==
 
==Illustrations==
http://www.slicer.org/img/Slicer4Announcement-HiRes.png
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[[File:MRI2CT.png]]
  
 
==Background and References==
 
==Background and References==
 
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Revision as of 15:38, 22 June 2017

Home < Project Week 25 < CNN for PseudoCT Generation from T1T2 MR


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Key Investigators

Project Description

This tool allows the user to generate an HU map (Pseudo-CT) from T1/T2 input MRI. The tool is still in the early development stages with good early results in terms of Mean Absolute Error and Bias.

Objective Approach and Plan Progress and Next Steps

The main object is to understand which topology of CNN is the most suited for the Pseudo-CT generation task.

Test of different structures with training on low-res images in order to speed-up computational time. Analysis of the different output with MAE and Bias metrics

TBD

Illustrations

MRI2CT.png

Background and References