Difference between revisions of "2012 Summer Project Week:Radnostics"

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Image:spine.png|CT Spine  
 
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Image:SegmentedSpine.png|Automated Segmentation
 
Image:SegmentedSpine.png|Automated Segmentation
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Image:Radnostics64-3.png|Osteoporosis Detection
 
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Latest revision as of 17:28, 26 June 2012

Home < 2012 Summer Project Week:Radnostics

Spine Segmentation & Osteoporosis Detection In CT Imaging Studies

Osteoporosis

A condition of bone mineral loss affecting the aging population

  • Impacts 200 million people WW
  • Leads to 9 million fractures each year
  • Inflicts pain, morbidity, and mortality
  • Direct annual costs: close to $20 billion in the US, €30+ billion in Europe
  • Fractures and complications are preventable with lifestyle changes, diet, and medication
  • However, Osteoporosis is largely underdiagnosed


Key Investigators

  • Radnostics: Anthony Blumfield
  • Albert Einstein College of Medicine: Einat Blumfield, MD
  • BWH: Ron Kikinis, MD
  • Montefiore Medical Center: Ruth Freeman, MD
  • Albert Einstein College of Medicine: Hilary Umans, MD

Objective

Radnostics Osteoporosis Detection

A solution for early diagnosis of osteoporosis

  • Tens of millions of CT scans are performed annually for various medical conditions
  • Radnostics measures osteoporosis biomarkers in CT scans and detects patients at risk
  • No need for a dedicated procedure
  • No additional radiation
  • No need for phantoms
  • 100% automated
  • Integration into the clinical workflow




Approach, Plan

Radnostics Beta 1 command line module migration to 3D Slicer v4

Progress

  • Radnostics Beta 1 command line module migrated to 3D Slicer v4
    • Blocking bugs resolved or worked around
    • Feature request 2223: Access to DICOM header info from CLI executable assigned to Jim




Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a

  1. Slicer Module
    1. Extension -- commandline

References