Evidence map›Paper›PMID 38733037›Full record

ArticleSensors (Basel, Switzerland)2024

K-Space Approach in Optical Coherence Tomography: Rigorous Digital Transformation of Arbitrary-Shape Beams, Aberration Elimination and Super-Refocusing beyond Conventional Phase Correction Procedures.

Alexander L Matveyev, Lev A Matveev, Grigory V Gelikonov, Vladimir Y Zaitsev

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Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Alexander L MatveyevA.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod 603950, Russia.
Lev A MatveevA.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod 603950, Russia.ORCID 0000-0001-5736-820X
Grigory V GelikonovA.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod 603950, Russia.
Vladimir Y ZaitsevA.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod 603950, Russia.ORCID 0000-0002-2122-2943

Funding

Russian Science Foundation 22-12-00295
6 · The paper itself

Abstract

For the most popular method of scan formation in Optical Coherence Tomography (OCT) based on plane-parallel scanning of the illuminating beam, we present a compact but rigorous K-space description in which the spectral representation is used to describe both the axial and lateral structure of the illuminating/received OCT signals. Along with the majority of descriptions of OCT-image formation, the discussed approach relies on the basic principle of OCT operation, in which ballistic backscattering of the illuminating light is assumed. This single-scattering assumption is the main limitation, whereas in other aspects, the presented approach is rather general. In particular, it is applicable to arbitrary beam shapes without the need for paraxial approximation or the assumption of Gaussian beams. The main result of this study is the use of the proposed K-space description to analytically derive a filtering function that allows one to digitally transform the initial 3D set of complex-valued OCT data into a desired (target) dataset of a rather general form. An essential feature of the proposed filtering procedures is the utilization of both phase and amplitude transformations, unlike conventionally discussed phase-only transformations. To illustrate the efficiency and generality of the proposed filtering function, the latter is applied to the mutual transformation of non-Gaussian beams and to the digital elimination of arbitrary aberrations at the illuminating/receiving aperture. As another example, in addition to the conventionally discussed digital refocusing enabling depth-independent lateral resolution the same as in the physical focus, we use the derived filtering function to perform digital "super-refocusing." The latter does not yet overcome the diffraction limit but readily enables lateral resolution several times better than in the initial physical focus.

Indexed as

aberration correctionangular spectrumdigital image transformationdigital refocusingK-space representationnon-Gaussian beamsnon-paraxial approximationoptical coherence tomography

Identifiers

PMID38733037
PMCPMC11086361

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