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Fully automated determination of arch angle on weight-bearing foot radiograph.

Authors :
Kao EF
Lu CY
Wang CY
Yeh WC
Hsia PK
Source :
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2018 Feb; Vol. 154, pp. 79-88. Date of Electronic Publication: 2017 Nov 16.
Publication Year :
2018

Abstract

Background and Objective: Flatfeet can be evaluated by measuring the calcaneal-fifth metatarsal angle on a weight-bearing lateral foot radiograph. This study aimed to develop an automated method for determining the calcaneal-fifth metatarsal angle on weight-bearing lateral foot radiograph.<br />Method: The proposed method comprises four processing steps: (1) identification of the regions including the calcaneus and fifth metatarsal bones in a foot image; (2) delineation of the contours of the calcaneus and the fifth metatarsal; (3) determination of the tangential lines of the two bones from the contours; and (4) determination of the calcaneal-fifth metatarsal angle between the two tangential lines as arch angle.<br />Results: The proposed method was evaluated using 300 weight-bearing lateral foot radiographs. The arch angles determined by the proposed method were compared with those measured by a radiologist, and the errors between the automatically and manually determined angles were used to evaluate the precision of the method. The average error in the proposed method was found to be 1.12° ± 1.57° In the study, in 73.33% of the cases, the arch angles could be determined automatically without redrawing any tangential lines; in 23.00% of the cases, the angles would be correctly determined by redrawing one of the tangential lines; further, in only 3.67% of the cases, both the calcaneal and fifth metatarsal tangential lines needed to be redrawn to determine the arch angles.<br />Conclusion: The results revealed that the proposed method has potential for assisting doctors in measuring the arch angles on weight-bearing lateral foot radiographs more efficiently.<br /> (Copyright © 2017 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-7565
Volume :
154
Database :
MEDLINE
Journal :
Computer methods and programs in biomedicine
Publication Type :
Academic Journal
Accession number :
29249349
Full Text :
https://doi.org/10.1016/j.cmpb.2017.11.009