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

被引：3
作者：
Alang, Tengku Ahmad Iskandar Tengku [1 ]
Tan, Tian Swee [1 ]
Yaakub, Azhany [2 ]
机构：
[1] Univ Teknol Malaysia, Fac Biosci & Med Engn, Dept Biotechnol & Med Engn, Skudai 81310, Johor, Malaysia
[2] Univ Sains Malaysia, Sch Med Sci, Dept Ophthalmol, Hlth Campus, Kota Baharu 16150, Kelantan, Malaysia
来源：
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2020年 / 33卷 / 02期
关键词：
circular Hough transform; CHT; magnetic resonance imaging; MRI; MRI images; eye globe detection; T1-weighted; ORBITAL VOLUME; COMPUTED-TOMOGRAPHY; RETINOBLASTOMA; SEGMENTATION; EYEBALL; LESIONS; SIZE;
D O I：
10.1504/IJBET.2020.107708
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
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收藏
页码：123 / 133
页数：11
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