Imaging Performance of a Handheld Ultrasound System With Real-Time Computer-Aided Detection of Lumbar Spine Anatomy: A Feasibility Study.

Mohamed Tiouririne¹, Adam J Dixon, F William Mauldin, David Scalzo, Arun Krishnaraj

¹From the *Department of Anesthesiology, University of Virginia Health System; †Department of Biomedical Engineering, University of Virginia; ‡Rivanna Medical; and §Department of Radiology, University of Virginia Health System, Charlottesville, VA.

PubMed PMC DOI PDF

Abstract

OBJECTIVES: The aim of this study was to evaluate the imaging performance of a handheld ultrasound system and the accuracy of an automated lumbar spine computer-aided detection (CAD) algorithm in the spines of human subjects. MATERIALS AND METHODS: This study was approved by the institutional review board of the University of Virginia. The authors designed a handheld ultrasound system with enhanc…

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Mentioned Companies

Rivanna Medical
affiliation

NIH Funding

Grant #8393085
Low-cost handheld medical device for neuroaxial anesthesia guidance in the obese
RIVANNA MEDICAL, INC.
$231,868 (FY2012)
Grant #8928612
Low-cost handheld medical device for neuroaxial anesthesia guidance in the obese
RIVANNA MEDICAL, INC.
$555,760 (FY2015)

Other Funding

NIBIB NIH HHS(R43 EB015232)
United States
NIBIB NIH HHS(R44 EB015232)
United States

MeSH Terms

Adult0Algorithms0Feasibility Studies0Female0Humans0Image Processing, Computer-Assisted0Lumbar Vertebrae0Male0Reproducibility of Results0Sensitivity and Specificity0Ultrasonography0

Article Info

PMID: 28230717
PMCID: PMC5493496
DOI: 10.1097/RLI.0000000000000361

How to Cite

Tiouririne M et al. Imaging Performance of a Handheld Ultrasound System With Real-Time Computer-Aided Detection of Lumbar Spine Anatomy: A Feasibility Study. Invest Radiol2017;52(8):447-455. doi:10.1097/RLI.0000000000000361

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