Title: Implementation of circular Hough transform on MRI images for eye globe volume estimation

Authors: Tengku Ahmad Iskandar Tengku Alang; Tian Swee Tan; Azhany Yaakub

Addresses: Department of Biotechnology and Medical Engineering, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ' Department of Biotechnology and Medical Engineering, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ' Department of Ophthalmology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kota Bharu, Kelantan, Malaysia

Abstract: Eye globe volume estimation has gained attention in both medical and biomedical engineering field. However, most of the methods used manual analysis which is tedious and prone to errors due to various inter- or intraoperator variability studies. In the present study, we estimated the volume of eye globe, in MRI images of normal eye globe condition using the circular Hough transform (CHT) algorithm. To test the performance of the proposed method, 24 magnetic resonance images which constitute 14 males and ten females (normal eye globe condition) with T1-weighted MRI images are randomly selected from the database. The mean (±SD) of the eye globe volume for male was 6.75 (±0.82) cm³ and 6.17 (±0.74) cm³ on the right and left side respectively. For female, the mean (±SD) of the eye globe volume was 6.24 (±0.70) cm³ on the right side and 6.22 (±0.72) cm³ on the left side. The proposed method have provided the new insight in estimating eye globe volume with a new and unique, automated approach.

Keywords: circular Hough transform; CHT; magnetic resonance imaging; MRI; MRI images; eye globe detection; T1-weighted.

DOI: 10.1504/IJBET.2020.107708

International Journal of Biomedical Engineering and Technology, 2020 Vol.33 No.2, pp.123 - 133

Received: 11 Aug 2016
Accepted: 07 Sep 2017
Published online: 10 Jun 2020 *

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