Aberrometry from Astronomy to Vision Science
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Published:
Jul 13, 2019
Keywords:
Adaptative optics, ocular aberrations, wavefront, Zernike polynomials, refractive surgery, LASIK, ophtalmology.
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Abstract
Aberrometry is a branch from optical metrology and more directly from astronomy. Applied to the science of vision, it allows for dramatic improvements in human vision research, such as refining the visual capabilities of healthy and diseased subjects beyond physiological limits. In retinal imaging, it permits observing with very high resolution, photoreceptors allowing glimpsing an earlier diagnosis of some retinal pathologies as well as the observation and assessment of more effective treatments. They rely on the ocular wave front collection with the help of an aberrometer which allows establishing the precise and quantitative record of the various optical aberrations of the human eye, whether low or high degree. In this work, we draw our approach to apply these concepts to refractive surgery and contact lenses adaptation, to relate the changes in higher-order aberrations (HOAs) following wavefront-guided femtosecond laser-assisted (WFG FS-LASIK), and to explore the correlations between preoperative spherical equivalence (SE) and mechanisms of HOAs affecting the visual quality.
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Aberrometry from Astronomy to Vision Science. (2019). Medical Technologies Journal, 3(2), 395-401. https://doi.org/10.26415/2572-004X-vol3iss2p395-401
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Medical technologies
How to Cite
Aberrometry from Astronomy to Vision Science. (2019). Medical Technologies Journal, 3(2), 395-401. https://doi.org/10.26415/2572-004X-vol3iss2p395-401
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References
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[21] Mahmoodi, M. S., and S. A. Mahmoodi. “Design of CAD System of Solitary Pulmonary Nodule With Harmony Classification and Fuzzy System”. Medical Technologies Journal, Vol. 1, no. 4, Nov. 2017, pp. 102-, doi: 10.26415/2572-004X-vol1iss4p102-102.
[22] Gozali, E., B. Rahimi, M. Sadeghi, and R. Safdari. “Diagnosis of Diseases Using Data Mining”. Medical Technologies Journal, Vol. 1, no. 4, Nov. 2017, pp. 120-1, doi: 10.26415/2572-004X-vol1iss4p120-121
[23] Jesus, M.A., & Estrela, V.V. (2017). An Introduction to Data Mining Applied to Health-Oriented Databases, Orient. J. Comp. Sci. and Technol (OJCST), 9(3). DOI : 10.13005/ojcst/09.03.03
[2]. Howland B, Howland HC. Subjective measurement of high-order aberrations of the eye. Science 1976; 193: 580–2.
[3]. Liang J, Grimm B, Goelz S, Bille JF. Objective measurement of wave aberrations of the human eye with the use of a Hartmann-Shack wave-front sensor. J Opt Soc Am A 1994; 11: 1949–57.
[4]. Liang J, Williams DR, Miller DT. Supernormal vision and high-resolution retinal imaging through adaptive optics. J Opt Soc Am 1997; A14: 2884–92
[5]. Roorda A, Williams DR. The arrangement of the three cone classes in the living human eye. Nature 199397: 520–2.
[6]. Thibos LN. Principles of Hartmann-Shack aberrometry. J Refract Surg 2000; 16: S563–65.
[7] . Mrochen M, Kaemmerer M, Mierdel P, Krinke HE, Seiler T. Principles of Tscherning aberrometry. J Refract Surg 2000; 16: S570–1.
[8] Molebny VV, Panagopoulou SI, Molebny SV, Wakil Y, Pallikaris IG. Principles of ray tracing aberrometry. J Refract Surg 2000; 16: S572–575.
[9] . Burns SA. The spatially resolved refractometer. J Refract Surg 2000; 16: S566 - 9.
[10]. Mierdel P, Kaemmerer M, Krinke HE, Seiler T. Effects of photorefractive keratectomy and cataract surgery on ocular optical errors of higher order.
[11]. Seiler T, Kaemmerer M, Mierdel P, Krinke HE.Ocular optical aberrations after photorefractive keratectomy for myopia and myopic 13 Schallhorn SC, Farjo AA, Huang D et al., American Academy of Ophthalmology. Wavefrontguided LASIK for the correction of primary myopia and astigmatism: a report by the American Academy of Ophthalmology. Ophthalmology 2008, 115: 1249-61.
[12]. Mihashi T, Hirohara Y, Koh S, Ninomiya S, Maeda N, Fujikado T. Tear film break-up time evaluated byreal-time Hartmann-Shack wavefront sensing. Jpn JOphthalmol 2006; 50: 85–9.58. Koh S, Maeda N, Hirohara Y et al. Serial measurements of higher-order aberrations after blinking in normal subjects. Invest Ophthalmol Vis Sci 2006; 47:3318–24.
[13]. Koh S,Maeda N, Hori Y et al. Effects of suppression of blinking on quality of vision in borderline cases ofevaporative dry eye. Cornea 2008; 27: 275-8.
[14]. Montes-Mico R, Caliz A, Alio JL. Wavefront analysis of higher order aberrations in dry eye patients. J Refract Surg 2004; 20: 243–7.
[15] Resan M, Vukosavljević M, Milivojević M. Wavefront Aberrations, Advances in Ophthalmology, Shimon Rumelt, IntechOpen, 2012, DOI: 10.5772/24441. Available from: https://www.intechopen.com/books/advances-in-ophthalmology/wavefront-aberrations
[16] Maeda PY Zernike Polynomials and their Use in describing the Wavefront Aberrations of the human Eye, Stanford University,
[17] Berlien, H.-P. “Principles of Laser Application in Medicine”. Medical Technologies Journal, Vol. 2, no. 3, Sept. 2018, pp. 228-9, doi:https://doi.org/10.26415/2572-004X-vol2iss3p228-229.
[18] de Jesus, M.A., Estrela, V.V., Saotome, O., & Stutz, D. (2018) Super-resolution via particle swarm optimization variants. In: Hemanth J., Balas V. (Eds). Lecture Notes in Comp. Vision and Biomechanics, vol 25. Springer, Cham.
[19] Fernandes, S.R., Estrela, V.V., Magalhaes, H.A., & Saotome, O. (2014) On improving sub-pixel accuracy by means of B-Spline, In Proc. of the 2014 IEEE Int’l Conf. on Imaging System and Techniques (IST 2014), Santorini, Greece. doi: 10.1109/IST.2014.6958448
[20] Herrmann, A. E. & Estrela, V. V. (2016). Content-based image retrieval (CBIR) in remote clinical diagnosis and healthcare. In M. Cruz-Cunha, I. Miranda, R. Martinho, & R. Rijo (Eds.), Encyclopedia of E-Health and Telemedicine (pp. 495-520). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-9978-6.ch039
[21] Mahmoodi, M. S., and S. A. Mahmoodi. “Design of CAD System of Solitary Pulmonary Nodule With Harmony Classification and Fuzzy System”. Medical Technologies Journal, Vol. 1, no. 4, Nov. 2017, pp. 102-, doi: 10.26415/2572-004X-vol1iss4p102-102.
[22] Gozali, E., B. Rahimi, M. Sadeghi, and R. Safdari. “Diagnosis of Diseases Using Data Mining”. Medical Technologies Journal, Vol. 1, no. 4, Nov. 2017, pp. 120-1, doi: 10.26415/2572-004X-vol1iss4p120-121
[23] Jesus, M.A., & Estrela, V.V. (2017). An Introduction to Data Mining Applied to Health-Oriented Databases, Orient. J. Comp. Sci. and Technol (OJCST), 9(3). DOI : 10.13005/ojcst/09.03.03