Abstract

In this work, a new approach, a method using artificial neural networks was applied to reconstruct the wavefront. First, the optimal structure of neural networks was found. Then, the networks were trained on both noise-free and noisy spot patterns. The results of the wavefront reconstruction with artificial neural networks were compared to those obtained through the least square fit and singular value decomposition method.

© 2006 Optical Society of America

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2003 (1)

2002 (4)

L. N. Thibos, A. Bradley, and X. Hong, “A statistical model of the aberration structure of normal, well-corrected eyes,” Ophthalmic Physiol. Opt. 22, 427–433 (2002).
[CrossRef] [PubMed]

Y. Yasuno, T. Yatagai, T. F. Wiesendanger, A. K. Ruprecht, and H. J. Tiziani, “Aberration measurement from confocal axial intensity response using neural network,” Opt. Express 10, 1451–1457 (2002).
[PubMed]

L. N. Thibos, X. Hong, A. Bradley, and X. Cheng, “Statistical variation of aberration structure and image quality in a normal population of healthy eyes,” J. Opt. Soc. Am. A 19, 2329–2348 (2002).
[CrossRef]

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

2001 (1)

1999 (1)

S. Walczak and N. Cerpa, “Heuristic principles for the design of artificial neural networks,” Information and Software Technology 41, 107–117 (1999).
[CrossRef]

1997 (1)

1994 (1)

1993 (1)

1980 (1)

1979 (1)

1977 (1)

Artal, P.

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

Barrett, T. K.

Benito, A.

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

Bille, J.

Bishop, C.

C. Bishop, Neural Networks for Pattern Recognition (Clarendon Press, Oxford, 1995).

Bradley, A.

L. N. Thibos, A. Bradley, and X. Hong, “A statistical model of the aberration structure of normal, well-corrected eyes,” Ophthalmic Physiol. Opt. 22, 427–433 (2002).
[CrossRef] [PubMed]

L. N. Thibos, X. Hong, A. Bradley, and X. Cheng, “Statistical variation of aberration structure and image quality in a normal population of healthy eyes,” J. Opt. Soc. Am. A 19, 2329–2348 (2002).
[CrossRef]

Castejón-Mochón, J. F.

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

Cerpa, N.

S. Walczak and N. Cerpa, “Heuristic principles for the design of artificial neural networks,” Information and Software Technology 41, 107–117 (1999).
[CrossRef]

Cheng, X.

Clark, J. W.

J. W. Clark, T. Lindenau, and M. L. Ristig, Scientific Applications of Neural Nets (Springer, 1998).

Cubalchini, R.

Fried, D.

Goelz, S.

Gox, I. G.

Grimm, B.

Guirao, A.

Hong, X.

L. N. Thibos, A. Bradley, and X. Hong, “A statistical model of the aberration structure of normal, well-corrected eyes,” Ophthalmic Physiol. Opt. 22, 427–433 (2002).
[CrossRef] [PubMed]

L. N. Thibos, X. Hong, A. Bradley, and X. Cheng, “Statistical variation of aberration structure and image quality in a normal population of healthy eyes,” J. Opt. Soc. Am. A 19, 2329–2348 (2002).
[CrossRef]

Liang, J.

Lindenau, T.

J. W. Clark, T. Lindenau, and M. L. Ristig, Scientific Applications of Neural Nets (Springer, 1998).

López-Gil, N.

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

Montera, D. A.

Nirmaier, T.

Porter, J.

Pudasaini, G.

Ristig, M. L.

J. W. Clark, T. Lindenau, and M. L. Ristig, Scientific Applications of Neural Nets (Springer, 1998).

Roggemann, M. C.

Ruck, D. W.

Ruprecht, A. K.

Sandier, D. G.

Southwell, W. H.

Thibos, L. N.

L. N. Thibos, A. Bradley, and X. Hong, “A statistical model of the aberration structure of normal, well-corrected eyes,” Ophthalmic Physiol. Opt. 22, 427–433 (2002).
[CrossRef] [PubMed]

L. N. Thibos, X. Hong, A. Bradley, and X. Cheng, “Statistical variation of aberration structure and image quality in a normal population of healthy eyes,” J. Opt. Soc. Am. A 19, 2329–2348 (2002).
[CrossRef]

Tiziani, H. J.

Walczak, S.

S. Walczak and N. Cerpa, “Heuristic principles for the design of artificial neural networks,” Information and Software Technology 41, 107–117 (1999).
[CrossRef]

Welsh, B. M.

Wiesendanger, T. F.

Williams, D. R.

Yasuno, Y.

Yatagai, T.

Appl. Opt. (2)

Information and Software Technology (1)

S. Walczak and N. Cerpa, “Heuristic principles for the design of artificial neural networks,” Information and Software Technology 41, 107–117 (1999).
[CrossRef]

J. Opt. Soc. Am. (3)

J. Opt. Soc. Am. A (3)

Ophthalmic Physiol. Opt. (1)

L. N. Thibos, A. Bradley, and X. Hong, “A statistical model of the aberration structure of normal, well-corrected eyes,” Ophthalmic Physiol. Opt. 22, 427–433 (2002).
[CrossRef] [PubMed]

Opt. Express (2)

Vis. Res. (1)

J. F. Castejón-Mochón, N. López-Gil, A. Benito, and P. Artal, “Ocular wave-front statistics in a normal young population,” Vis. Res. 42, 1611–1617 (2002).
[CrossRef] [PubMed]

Other (2)

J. W. Clark, T. Lindenau, and M. L. Ristig, Scientific Applications of Neural Nets (Springer, 1998).

C. Bishop, Neural Networks for Pattern Recognition (Clarendon Press, Oxford, 1995).

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