| Literature DB >> 29899817 |
Hastings Greer1, Sam Gerber1, Marc Niethammer2, Roland Kwitt3, Matt McCormick1, Deepak Chittajallu1, Neal Siekierski1, Matthew Oetgen4, Kevin Cleary4, Stephen Aylward1.
Abstract
We aim to diagnose scoliosis using a self contained ultrasound device that does not require significant training to operate. The device knows its angle relative to vertical using an embedded inertial measurement unit, and it estimates its angle relative to a vertebrae using a neural network analysis of its ultrasound images. The composition of those angles defines the angle of a vertebrae from vertical. The maximum difference between vertebrae angles collected from a scan of a spine yields the Cobb angle measure that is used to quantify scoliosis severity.Entities:
Keywords: Computer Aided Diagnosis; Point-of-Care Ultrasound
Year: 2018 PMID: 29899817 PMCID: PMC5994762 DOI: 10.1109/ISBI.2018.8363857
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN: 1945-7928