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

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Image:spine.png|CT Spine  
 
Image:spine.png|CT Spine  
 
Image:SegmentedSpine.png|Automated Segmentation
 
Image:SegmentedSpine.png|Automated Segmentation
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Image:Radnostics64-3.png|Osteoporosis Detection
 
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<b>Osteoporosis</b>
 
<b>Osteoporosis</b>
  
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* Leads to 9 million fractures each year
 
* Leads to 9 million fractures each year
 
* Inflicts pain, morbidity, and mortality
 
* Inflicts pain, morbidity, and mortality
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* Direct annual costs: $20 billion in the US, €30+ billion in Europe
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* 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
 
* Fractures and complications are preventable with lifestyle changes, diet, and medication
 
* However, <b>Osteoporosis is largely underdiagnosed</b>
 
* However, <b>Osteoporosis is largely underdiagnosed</b>
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<b>Radnostics Osteoporosis Detection in CT</b>
 
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A solution for early diagnosis of osteoporosis
 
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* Tens of millions of CT scans are performed annually for various medical conditions
 
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* Radnostics measures osteoporosis biomarkers in CT scans and detects patients at risk
 
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* No need for a dedicated procedure
 
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* No additional radiation
 
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* No need for phantoms
 
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* 100% automated
 
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* Integration into the clinical workflow
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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We are building a fully automated tool to detect findings of osteoporosis by inspecting the morphology, structure, and density of vertebral bodies in CT studies performed for other clinical reasons and making it available as a 3D Slicer command line module
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<b>Radnostics Osteoporosis Detection</b>
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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
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*No additional radiation
 +
*No need for phantoms
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*100% automated
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*Integration into the clinical workflow
  
  
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<h3>Progress</h3>
 
<h3>Progress</h3>
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*Radnostics Beta 1 command line module migrated to 3D Slicer v4
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**Blocking bugs resolved or worked around
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**Feature request 2223: Access to DICOM header info from CLI executable assigned to Jim
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*http://wiki.na-mic.org/Wiki/index.php/2011-Challenge:Segment-a-spine
 
*http://wiki.na-mic.org/Wiki/index.php/2011-Challenge:Segment-a-spine
  
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*http://radnostics.com/default.aspx
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*http://www.radnostics.com
  
  
 
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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

  • CT Spine

  • Automated Segmentation

  • Osteoporosis Detection

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


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