NDLI: Automated system of hess screen for diagnosis of paralytic strabismus using computer aided diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Yamin, A. Khan, S.A. Yasin, U.-U.
Copyright Year	2013
Description	Author affiliation: Armed Forces Inst. of Ophthalmology, Nat. Univ. of Sci. & Technol., Islamabad, Pakistan (Yasin, U.-U.) \|\| Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan (Yamin, A.; Khan, S.A.)
Abstract	In ophthalmology, Hess screen is an imperative instrument which is primarily employed for the measurement of paralytic strabismus. Strabismus is the state of eye in which eyes are not properly aligned with each other and patient complaint for double vision (diplopia). In this paper we propose a model for the automation of traditional Hess Screen instrument for the diagnosis of strabismus. Currently this system is totally manual in operate and consume lot of time of patient as well as ophthalmologist. We present a three stage system consisting of image acquisition, point extraction, plotting and computer aided diagnosis algorithm. First stage is composed of a digital camera which will take images of the HESS board and transfer it to a computer. In second stage image processing techniques are used to extract points from images to draw HESS plot, and in third stage an algorithm based on fuzzy logic is designed which will automatically diagnose the paralytic strabismus using statistics of the Hess graphs. This system is convenient, fast and has an ability to manage medical record with refinement. The evaluation of proposed system is performed by using dataset provided by well known local hospital.
Sponsorship	IEEE Instrum. Meas. Soc.
Starting Page	300
Ending Page	305
File Size	1391284
Page Count	6
File Format	PDF
e-ISBN	9781467357913
DOI	10.1109/IST.2013.6729710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical diagnostic imaging Light emitting diodes Universal Serial Bus fuzzy logic Hess screen opthalmology paralytic strabismus diplopia image manipulation
Content Type	Text
Resource Type	Article

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