PMID: 11929022Apr 4, 2002Paper

Neural network based automated algorithm to identify joint locations on hand/wrist radiographs for arthritis assessment

Medical Physics
J DuryeaF Wolfe

Abstract

Arthritis is a significant and costly healthcare problem that requires objective and quantifiable methods to evaluate its progression. Here we describe software that can automatically determine the locations of seven joints in the proximal hand and wrist that demonstrate arthritic changes. These are the five carpometacarpal (CMC1, CMC2, CMC3, CMC4, CMC5), radiocarpal (RC), and the scaphocapitate (SC) joints. The algorithm was based on an artificial neural network (ANN) that was trained using independent sets of digitized hand radiographs and manually identified joint locations. The algorithm used landmarks determined automatically by software developed in our previous work as starting points. Other than requiring user input of the location of nonanatomical structures and the orientation of the hand on the film, the procedure was fully automated. The software was tested on two datasets: 50 digitized hand radiographs from patients participating in a large clinical study, and 60 from subjects participating in arthritis research studies and who had mild to moderate rheumatoid arthritis (RA). It was evaluated by a comparison to joint locations determined by a trained radiologist using manual tracing. The success rate for determining...Continue Reading

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Citations

May 23, 2006·Der Radiologe·P PeloschekF Kainberger
Dec 16, 2006·Zeitschrift für Rheumatologie·F KainbergerA Valentinitsch
Jan 17, 2016·Journal of Affective Disorders·Martine HébertIsabelle Daigneault
Mar 10, 2005·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·L Rodney LongGeorge R Thoma
Feb 25, 2005·Cranio : the Journal of Craniomandibular Practice·George J DiasJules A Kieser
Feb 1, 2017·IEEE Transactions on Bio-medical Engineering·Yinghe HuoMax A Viergever
Mar 10, 2019·Clinical Rheumatology·Kemal ÜretenHadi Hakan Maraş

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