Automated resolution independent method for comparing in vivo and dry trabecular bone.
Jaap P P SaersLily J D DeMarsNicholas B StephensTea JashashviliKristian J CarlsonAdam D GordonTimothy M RyanJay T StockPublished in: American journal of physical anthropology (2020)
BRP allows automated comparison of image data from different image modalities (pQCT, μCT) using different energy settings, in archeological bone and wet specimens. The method enables low-resolution data generated in vivo to be compared with the fossil and archaeological record. Such experimental approaches would substantially improve behavioral inferences based on trabecular bone microstructure.
Keyphrases
- bone mineral density
- deep learning
- postmenopausal women
- body composition
- electronic health record
- machine learning
- soft tissue
- high throughput
- big data
- bone loss
- bone regeneration
- computed tomography
- single molecule
- artificial intelligence
- magnetic resonance imaging
- image quality
- data analysis
- positron emission tomography
- multiple sclerosis