Literature DB >> 20375328

Fixation-free assessment of the Hirschberg ratio.

Dmitri Model1, Moshe Eizenman, Veit Sturm.   

Abstract

PURPOSE: To describe a novel methodology by which to measure the Hirschberg ratio (HR) in infants. The methodology does not require fixation on specific points, and measurements are made while infants look naturally at a display.
METHODS: The HR is calculated automatically from measurements of the direction of the optical axis, the position of the pupil center, and corneal reflexes in video images from an advanced two-camera eye-tracking system. The performance of the novel fixation-free procedure (FFP) was evaluated in 43 adults by measuring the average difference and the 95% limits of agreement with the standard fixation-based procedure (FBP). Repeatability of the HR measurements was evaluated by assessing the 95% limits of agreement between two independent measurements. Performance of the FFP was also evaluated in five infants.
RESULTS: In adults, the average HR was 12.89 +/- 1.22 degrees/mm for FFP and 12.81 +/- 1.22 degrees/mm for FBP. FFP and FBP measurements were highly correlated (r = 0.95; P < 0.001). The 95% limits of agreement between FFP and FBP were +/-0.86 degrees/mm. The 95% limits of agreement of repeated measurements were +/-0.66 degrees/mm for FFP and +/-0.77 degrees/mm for FBP. In infants, the 95% limits of agreement of repeated measurements by FFP were +/-0.63 degrees/mm.
CONCLUSIONS: In adults, the FFP provides accurate measurements of the HR that are in excellent agreement with measurements by FBP. In infants, measurements of HR by FFP show the same repeatability and consistency.

Entities:  

Mesh:

Year:  2010        PMID: 20375328     DOI: 10.1167/iovs.09-5014

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  3 in total

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2.  Development and Preliminary Evaluation of a Smartphone App for Measuring Eye Alignment.

Authors:  Shrinivas Pundlik; Matteo Tomasi; Rui Liu; Kevin Houston; Gang Luo
Journal:  Transl Vis Sci Technol       Date:  2019-02-08       Impact factor: 3.283

3.  An artificial intelligence platform for the diagnosis and surgical planning of strabismus using corneal light-reflection photos.

Authors:  Keli Mao; Yahan Yang; Chong Guo; Yi Zhu; Chuan Chen; Jingchang Chen; Li Liu; Lifei Chen; Zijun Mo; Bingsen Lin; Xinliang Zhang; Sijin Li; Xiaoming Lin; Haotian Lin
Journal:  Ann Transl Med       Date:  2021-03
  3 in total

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