Hough Forest-based Corner Detection for Cervical Spine Radiographs

Al-Arif, S. M., Asad, M., Knapp, K., Gundry, M. & Slabaugh, G.G. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. Paper presented at the Medical Image Understanding and Analysis Conference, MIUA 2015, 15-07-2015 - 17-07-2015, University of Lincoln, UK.

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Abstract

The cervical spine (neck region) is highly sensitive to trauma related injuries, which must be analysed carefully by emergency physicians. In this work, we propose a Hough Forest-based corner detection method for cervical spine radiographs, as a first step towards a computer-aided diagnostic tool. We propose a novel patch-based model based on two-stage supervised learning (classification and regression) to estimate the corners of cervical vertebral bodies. Our method is evaluated using 106 cervical x-ray images consisting of 530 vertebrae and 2120 corners, which have been demarcated manually by an expert radiographer. The results show promising performance of the proposed algorithm, with a lowest median error of 1.98 mm

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2015. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/12276

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