Spectral estimation optical coherence tomography for retinal imaging

Jos De Wit; Kostas Angelopoulos; George Othon Glentis; Jeroen Kalkman

Spectral estimation optical coherence tomography for retinal imaging

Jos De Wit^*, Kostas Angelopoulos, George Othon Glentis, Jeroen Kalkman

^*Corresponding author for this work

ImPhys/Computational Imaging

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

Spectral estimation can improve axial resolution in optical coherence tomography over its traditional limit. Contrary to sparsity-based methods, the iterative adaptive approach combines resolution enhancement with good tissue contrast reconstruction.

Original language	English
Title of host publication	Optical Coherence Tomography, OCT 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	978-155752820-9
Publication status	Published - 2022
Event	Optical Coherence Tomography, OCT 2022 - Fort Lauderdale, United States Duration: 24 Apr 2022 → 27 Apr 2022

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Optical Coherence Tomography, OCT 2022
Country/Territory	United States
City	Fort Lauderdale
Period	24/04/22 → 27/04/22

Cite this

@inproceedings{21aed1a6ef1a452da26f319ef31efabf,

title = "Spectral estimation optical coherence tomography for retinal imaging",

abstract = "Spectral estimation can improve axial resolution in optical coherence tomography over its traditional limit. Contrary to sparsity-based methods, the iterative adaptive approach combines resolution enhancement with good tissue contrast reconstruction.",

author = "{De Wit}, Jos and Kostas Angelopoulos and Glentis, {George Othon} and Jeroen Kalkman",

year = "2022",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Coherence Tomography, OCT 2022",

note = "Optical Coherence Tomography, OCT 2022 ; Conference date: 24-04-2022 Through 27-04-2022",

}

Spectral estimation optical coherence tomography for retinal imaging. / De Wit, Jos; Angelopoulos, Kostas; Glentis, George Othon et al.
Optical Coherence Tomography, OCT 2022. Optica Publishing Group (formerly OSA), 2022. CW1E.5 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Spectral estimation optical coherence tomography for retinal imaging

AU - De Wit, Jos

AU - Angelopoulos, Kostas

AU - Glentis, George Othon

AU - Kalkman, Jeroen

PY - 2022

Y1 - 2022

N2 - Spectral estimation can improve axial resolution in optical coherence tomography over its traditional limit. Contrary to sparsity-based methods, the iterative adaptive approach combines resolution enhancement with good tissue contrast reconstruction.

AB - Spectral estimation can improve axial resolution in optical coherence tomography over its traditional limit. Contrary to sparsity-based methods, the iterative adaptive approach combines resolution enhancement with good tissue contrast reconstruction.

UR - http://www.scopus.com/inward/record.url?scp=85136430236&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136430236

T3 - Optics InfoBase Conference Papers

BT - Optical Coherence Tomography, OCT 2022

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Coherence Tomography, OCT 2022

Y2 - 24 April 2022 through 27 April 2022

ER -

Spectral estimation optical coherence tomography for retinal imaging

Abstract

Publication series

Conference

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