A new method for the automatic identification of the dimensional features of vertebrae. Issue 1 (August 2015)

• Record Type: Journal Article
• Authors: Di Angelo, L.; Di Stefano, P.
• Is Part Of: Computer methods and programs in biomedicine. Volume 121:Issue 1(2015)
• Page Start: 36
• Page End: 48
• Publication Date: 2015-08
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.04.003
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">This paper proposes a new approach to determine the measure of human vertebrae.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">Typical approaches perform measurements with lack of repeatability and reproducibility.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">The proposed method is based on morphological features recognition from 3D high point density model of the vertebrae.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">The paper proposes unambiguous rules to identify geometric references and the associated dimensions.</p> </list-item> <list-item id="lsti0025"> <label></label> <p id="par0025">Compared to typical approaches, the proposed method proved to be more repeatable and reproducible.</p> </list-item> </list> </p> </sec> </abstract>