July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
3D reconstruction of UBM images; Automated volumetric measurement of anterior segment structures and iridocorneal angle
Author Affiliations & Notes
  • Faruk H Orge
    Ophthalmology, UH CMC and Rainbow B&C Hospital, Cleveland, Ohio, United States
  • Richard Helms
    Ophthalmology, UH CMC and Rainbow B&C Hospital, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Faruk Orge, None; Richard Helms, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 1702. doi:
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      Faruk H Orge, Richard Helms; 3D reconstruction of UBM images; Automated volumetric measurement of anterior segment structures and iridocorneal angle. Invest. Ophthalmol. Vis. Sci. 2018;59(9):1702.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Ultrasound biomicroscopy is widely used by ophthalmologists to acquire 2D images of the anterior segment and to measure parameters such as the anterior chamber depth and iridocorneal angle. We present a system for automatic measurement of the angle and the anterior chamber volume based on 3D reconstruction of UBM images.

Methods : We use a Quantel 50 MHz UBM probe attached to the surgical microscope with a precision translation stage. Approximately 1000 slices are captured and reconstructed to create a 3D model of the anterior chamber. The 3D model is analyzed to quantify the anterior chamber volume and the iridocorneal angle.

Results : We have used our device and software to create 3D models of the eye in animals, cadaver eyes, and patients. Our software is able to perform automatic measurement of the AC volume and IC angle in these eyes and to provide those results in near real time.

Conclusions : Our results are in quantitative agreement with other techniques including manual segmentation and angle measurements. Furthermore, because we capture the entire eye at fairly high resolution, our measurements do not rely on geometric simplifications or other approximations which could compromise the results.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

The position of the IOL placed in the sulcus and it's relationship to the surrounding structures is clearly seen via the 3D reconstruction of the UBM images. The automatic segmentation of the IOL with green coloring, further identifies and delineates the IOL from the surrounding tissues.

The position of the IOL placed in the sulcus and it's relationship to the surrounding structures is clearly seen via the 3D reconstruction of the UBM images. The automatic segmentation of the IOL with green coloring, further identifies and delineates the IOL from the surrounding tissues.

 

A bi-lobular iris cyst and it's relationship to the surrounding structures is clearly seen via the 3D reconstruction of the UBM images. The automatic segmentation of the cyst with coloring further identifies and delineates the cyst from the surrounding tissues.

A bi-lobular iris cyst and it's relationship to the surrounding structures is clearly seen via the 3D reconstruction of the UBM images. The automatic segmentation of the cyst with coloring further identifies and delineates the cyst from the surrounding tissues.

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