Literature DB >> 32032427

An Alternative Wavefront Reconstruction Method for Human Eyes.

Damien Gatinel, Radhika Rampat, Laurent Dumas, Jacques Malet.   

Abstract

PURPOSE: To expand upon and clinically demonstrate the results of a new polynomial decomposition method.
METHODS: To discuss the theoretical considerations comparing the qualitative and quantitative information produced by the Zernike coefficients and a new polynomial decomposition basis, in a comparative series of theoretical and clinical case studies.
RESULTS: These comparative studies validate the novel polynomial basis that decomposes the wavefront, with clear segregation of the higher and lower aberrations. There is no artifactual reduction of some of the higher order aberration coefficients, providing a more clinically relevant retinal image quality prediction.
CONCLUSIONS: Some of the inherent limitations of the Zernike polynomials in clinical ophthalmic applications can be solved by a novel set of polynomials forming an alternative higher order basis. The new basis provides a clear separation between modes containing lower order terms versus higher order terms and offers clinicians a more clinically realistic wavefront analysis. [J Refract Surg. 2020;36(2):74-81.].
© 2020 Gatinel, Rampat, Dumas, et al.

Entities:  

Year:  2020        PMID: 32032427     DOI: 10.3928/1081597X-20200113-01

Source DB:  PubMed          Journal:  J Refract Surg        ISSN: 1081-597X            Impact factor:   3.573


  2 in total

1.  Comparison of Low Degree/High Degree and Zernike Expansions for Evaluating Simulation Outcomes After Customized Aspheric Laser Corrections.

Authors:  Damien Gatinel; Jacques Malet; Laurent Dumas; Dimitri T Azar
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

Review 2.  Wavefront sensing, novel lower degree/higher degree polynomial decomposition and its recent clinical applications: A review.

Authors:  Radhika Rampat; Jacques Malet; Laurent Dumas; Damien Gatinel
Journal:  Indian J Ophthalmol       Date:  2020-12       Impact factor: 1.848

  2 in total

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