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

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) cm(3)and 6.17 (+/- 0.74) cm(3)on the right and left side respectively. For female, the mean (+/- SD) of the eye globe volume was 6.24 (+/- 0.70) cm(3)on the right side and 6.22 (+/- 0.72) cm(3)on the left side. The proposed method have provided the new insight in estimating eye globe volume with a new and unique, automated approach.