Wavefront sensorless adaptive optics for optical coherence tomography guided femtosecond laser surgery in the posterior eye

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Zabic, M.; Matthias, B.; Hahn, J.; Heisterkamp, A.; Meyer, H.; Ripken, T.: Wavefront sensorless adaptive optics for optical coherence tomography guided femtosecond laser surgery in the posterior eye. In: Proceedings of SPIE 10886 (2019), 1088603. DOI: https://doi.org/10.1117/12.2509363

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Surgery with fs-laser in the posterior part of the eye could be useful for separation of tractional epiretinal membrane and vitreous floaters treatment. However, focus degradation occurs near the retina due to induced aberrations by cornea and lens. To overcome this issue, adaptive optics with wavefront sensor and wavefront modulator can be utilized. We demonstrate an alternative concept for image guided femto second laser (fs-laser) surgery in the posterior eye with wavefront sensorless adaptive optics (WFSLAO). Our laboratory setup consists of an 800 nm fs-laser and a superluminescent diode (SLD) with 897.2 nm central wavelength. The SLD is used for optical coherence tomography (OCT) whereby the light for the OCT sample arm and the fs-laser share the same optical path which contains a deformable mirror, scanner and focusing optics. Energy calibrated photodiodes are used to measure the threshold energy for a laser induced optical breakdown inside a water filled chamber that acts as simple eye model. OCT image based metrics were used to determine a set of Zernike polynomials that describe a near optimal deformable mirror state. Such a mirror state improved OCT resolution and at the same time lowered the required fs-laser energy for a laser induced optical breakdown inside the eye model substantially. © COPYRIGHT SPIE.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: conferenceObject
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
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1 image of flag of Germany Germany 53 79.10%
2 image of flag of United States United States 3 4.48%
3 image of flag of China China 3 4.48%
4 image of flag of Russian Federation Russian Federation 2 2.99%
5 image of flag of Canada Canada 2 2.99%
6 image of flag of Slovenia Slovenia 1 1.49%
7 image of flag of India India 1 1.49%
8 image of flag of United Kingdom United Kingdom 1 1.49%
9 image of flag of France France 1 1.49%

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