Literature DB >> 29899817

SCOLIOSIS SCREENING AND MONITORING USING SELF CONTAINED ULTRASOUND AND NEURAL NETWORKS.

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


  6 in total

1.  Spinal curvature measurement by tracked ultrasound snapshots.

Authors:  Tamas Ungi; Franklin King; Michael Kempston; Zsuzsanna Keri; Andras Lasso; Parvin Mousavi; John Rudan; Daniel P Borschneck; Gabor Fichtinger
Journal:  Ultrasound Med Biol       Date:  2013-11-19       Impact factor: 2.998

2.  A population-based study of school scoliosis screening.

Authors:  B P Yawn; R A Yawn; D Hodge; M Kurland; W J Shaughnessy; D Ilstrup; S J Jacobsen
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

3.  Application of 3-D ultrasound in assisting the fitting procedure of spinal orthosis to patients with adolescent idiopathic scoliosis.

Authors:  M Li; J Cheng; M Ying; B Ng; Y P Zheng; T P Lam; W Y Wong; M S Wong
Journal:  Stud Health Technol Inform       Date:  2010

4.  Nonoperative treatment for adolescent idiopathic scoliosis: a 10- to 60-year follow-up with special reference to health-related quality of life.

Authors:  Mathias Haefeli; Achim Elfering; Reinhold Kilian; Kan Min; Norbert Boos
Journal:  Spine (Phila Pa 1976)       Date:  2006-02-01       Impact factor: 3.468

5.  Reliability of assessing the coronal curvature of children with scoliosis by using ultrasound images.

Authors:  Wei Chen; Edmond H M Lou; Phoebe Q Zhang; Lawrence H Le; Doug Hill
Journal:  J Child Orthop       Date:  2013-10-22       Impact factor: 1.548

Review 6.  SOSORT 2012 consensus paper: reducing x-ray exposure in pediatric patients with scoliosis.

Authors:  Patrick Knott; Eden Pappo; Michelle Cameron; Jc Demauroy; Charles Rivard; Tomasz Kotwicki; Fabio Zaina; James Wynne; Luke Stikeleather; Josette Bettany-Saltikov; Theodoros B Grivas; Jacek Durmala; Toru Maruyama; Stefano Negrini; Joseph P O'Brien; Manuel Rigo
Journal:  Scoliosis       Date:  2014-04-25
  6 in total
  1 in total

Review 1.  A narrative review of machine learning as promising revolution in clinical practice of scoliosis.

Authors:  Kai Chen; Xiao Zhai; Kaiqiang Sun; Haojue Wang; Changwei Yang; Ming Li
Journal:  Ann Transl Med       Date:  2021-01
  1 in total

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