Difference between revisions of "2016 Winter Project Week/Projects/BatchImageAnalysis"

From NAMIC Wiki
Jump to: navigation, search
Line 4: Line 4:
 
<!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" -->
 
<!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" -->
 
</gallery>
 
</gallery>
 +
 +
[[File:LungCT-3DSIFT.png|200px|thumb|left|3D SIFT Lung Features]]
  
 
==Key Investigators==
 
==Key Investigators==

Revision as of 19:08, 4 January 2016

Home < 2016 Winter Project Week < Projects < BatchImageAnalysis
3D SIFT Lung Features

Key Investigators

  • Kalli Retzepi (MGH)
  • Yangming Ou (MGH)
  • Matt Toews (ETS)
  • Steve Pieper (BWH)
  • Sandy Wells (BWH)
  • Randy Gollub (MGH)

Project Description

Objective Approach and Plan Progress and Next Steps
  • Run feature detection code over a collection of medical images pulled from PACS
  • Investigate a collection of ADC maps of neonates (diffusion MR)
  • Patients labeled with age and health status (normal, mildly abnormal, severely abnormal)
  • Use 3D SIFT code to see if health status can be detected in images
  • (if time) try text analysis of radiology reports
  • Use deidentified cohort of neonate images collected from MGH
  • Install data and software on AWS, try StarCluster
  • Explore visualization options
  • (if time) integrate image features with analysis of radiology report text