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Related Concept Videos

Glaucoma: Overview01:25

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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
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Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
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Related Experiment Video

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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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An Automatic Image Processing System for Glaucoma Screening.

Ahmed Almazroa1,2, Sami Alodhayb3, Kaamran Raahemifar4

  • 1Kellogg Eye Center, University of Michigan, 1000 Wall St, Ann Arbor, MI 48105, USA.

International Journal of Biomedical Imaging
|September 27, 2017
PubMed
Summary
This summary is machine-generated.

Automated algorithms accurately calculate horizontal and vertical cup to disc ratios (HCDR and VCDR) from retinal images, aiding glaucoma screening. The system achieved 74.2% accuracy, comparable to expert ophthalmologists.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Cup to disc ratios (CDR) are vital for glaucoma detection and monitoring.
  • Manual evaluation of CDR from retinal images is time-consuming and requires expert ophthalmologists.
  • Increasing glaucoma prevalence necessitates efficient screening tools.

Purpose of the Study:

  • To develop and evaluate algorithms for automatic calculation of horizontal and vertical cup to disc ratios (HCDR and VCDR).
  • To assess the feasibility of automated CDR calculation for glaucoma screening.

Main Methods:

  • Utilized level set and inpainting techniques for optic disc segmentation.
  • Employed Type-II fuzzy thresholding for optic cup segmentation.
  • Validated algorithms against manual markings by six ophthalmologists on the RIGA dataset.

Main Results:

  • The automated algorithms achieved a combined accuracy of 74.2% for HCDR and VCDR.
  • Algorithm performance was comparable to manual assessments by ophthalmologists.
  • The best agreement with manual markings was 41.8% with one ophthalmologist's data.

Conclusions:

  • Automated HCDR and VCDR calculation shows promise for glaucoma screening.
  • The developed algorithms offer a viable alternative to manual CDR evaluation.
  • Further refinement may enhance accuracy and clinical utility.