Comput. Biol. Med. - A new algorithm and problems in automatic anterior eye chamber volume determining.

Tópicos

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Resumo

This study investigates the problem of automatic determination of the anterior eye chamber volume using previously published as well as new algorithms of image analysis and processing proposed by the authors. A new method for determining the anterior eye chamber volume that provides more accurate results has been proposed. The entire algorithm was implemented in Matlab and C language. 60,000 images were obtained using OCT SS-1000 CASIA and Zeiss Visante OCT. The acquired images of the anterior segment of the eye had a resolution of 256?1024 pixels with a measuring range of 8?16mm(2). The images were acquired during routine medical examination at the Clinical Department of Ophthalmology, District Railway Hospital in Katowice, Poland, and were analysed in accordance with the Declaration of Helsinki. The new algorithm uses edge detection, morphological operations, binarization and filtration. The proposed algorithm gave the anterior chamber surface measurement error at the level of 4.3% and the anterior chamber volume measurement error of 12%. For comparison, the surface measurement error of the tomograph software was at 6.7%. Thus the obtained results were better by 2.4%. The proposed algorithm provides reproducible results automatically at a runtime of 3s per patient using a Core i7 PC computer with 8GB of RAM.

Resumo Limpo

studi investig problem automat determin anterior eye chamber volum use previous publish well new algorithm imag analysi process propos author new method determin anterior eye chamber volum provid accur result propos entir algorithm implement matlab c languag imag obtain use oct ss casia zeiss visant oct acquir imag anterior segment eye resolut pixel measur rang mm imag acquir routin medic examin clinic depart ophthalmolog district railway hospit katowic poland analys accord declar helsinki new algorithm use edg detect morpholog oper binar filtrat propos algorithm gave anterior chamber surfac measur error level anterior chamber volum measur error comparison surfac measur error tomograph softwar thus obtain result better propos algorithm provid reproduc result automat runtim s per patient use core pc comput gb ram

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