2013 Summer Project Week:Radnostics

Spine Segmentation & Osteoporosis Detection In CT Imaging Studies

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  Projects List

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  CT Spine

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  Automated Segmentation

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  Radnostics Osteoporosis Detection Beta2 integrated into 3D Slicer

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  Vertebral Data

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
• Jacobi Medical Center: Jay Leb, MD
• BWH: Ron Kikinis, MD

Objective

Radnostics Osteoporosis Detection is a solution for early detection of osteoporosis in CT scans performed for other clinical indications

• Tens of millions of CT scans are performed annually for various medical conditions
• We measure osteoporosis biomarkers and detect patients at risk
• 100% automated & integrated into the clinical workflow

Approach, Plan

Create a 3D Slicer v4 command line module for Radnostics Beta2.

Progress

Complete

Delivery Mechanism

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

1. Slicer Module
   1. Extension -- commandline

References

• http://wiki.na-mic.org/Wiki/index.php/2011-Challenge:Segment-a-spine
• http://www.radnostics.com