Document Detail


Analysis of the effects of astigmatism and misalignment on corneal surface reconstruction from photokeratoscopic data.
MedLine Citation:
PMID:  2043558     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article presents a general method of error analysis for reconstruction algorithms employed by corneal topography systems and applies this method to assess the accuracy of the Wang reconstruction algorithms. Using mathematical surface reconstructions, the method detects artifacts introduced in topographic analysis by astigmatism and misalignment. For the Wang algorithms, error introduced by astigmatism was less than 1% of the true value for surfaces with more than 10.00 diopters of astigmatism. A 1-mm translational misalignment of the analyzed surface introduced error of no more than 1.3%. Errors caused by rotational misalignment were less than 3% for misalignments of 5 degrees or less. It is concluded from the error analysis method that the Wang algorithms are sufficiently accurate for use in the analysis of corneal topography. Similar analyses need to be accomplished for the validation of commercially available corneal topography systems.
Authors:
J Y Wang; D A Rice; S D Klyce
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Refractive & corneal surgery     Volume:  7     ISSN:  1042-962X     ISO Abbreviation:  Refract Corneal Surg     Publication Date:    1991 Mar-Apr
Date Detail:
Created Date:  1991-07-12     Completed Date:  1991-07-12     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8908429     Medline TA:  Refract Corneal Surg     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  129-40     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Tulane University, New Orleans, La.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Astigmatism / pathology*
Cornea / pathology*
Humans
Image Processing, Computer-Assisted
Mathematics
Methods
Models, Biological
Refractive Errors / pathology*
Reproducibility of Results
Grant Support
ID/Acronym/Agency:
EY02377/EY/NEI NIH HHS; EY03311/EY/NEI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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