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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
- 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
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a
- Slicer Module
- Extension -- commandline
