Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

Yijie Zhang; Tairan Liu; Manmohan Singh; Ege Çetintaş; Yilin Luo; Yair Rivenson; Kirill V. Larin; Aydogan Ozcan

Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

Yijie Zhang
, Tairan Liu
, Manmohan Singh
, Ege Çetintaş
, Yilin Luo
, Yair Rivenson
, Kirill V. Larin
, Aydogan Ozcan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Applications and Technology, A and T 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781957171050
State	Published - 1 Jan 2022
Externally published	Yes
Event	CLEO: Applications and Technology, A and T 2022 - San Jose, United States Duration: 15 May 2022 → 20 May 2022

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Conference

Conference	CLEO: Applications and Technology, A and T 2022
Country/Territory	United States
City	San Jose
Period	15/05/22 → 20/05/22

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@inproceedings{94bd8c73dd7b4cdabf58eae478f3d88d,

title = "Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data",

abstract = "We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.",

author = "Yijie Zhang and Tairan Liu and Manmohan Singh and Ege {\c C}etinta{\c s} and Yilin Luo and Yair Rivenson and Larin, \{Kirill V.\} and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); CLEO: Applications and Technology, A and T 2022 ; Conference date: 15-05-2022 Through 20-05-2022",

year = "2022",

month = jan,

day = "1",

language = "English",

series = "Optics InfoBase Conference Papers",

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

booktitle = "CLEO",

}

Zhang, Y, Liu, T, Singh, M, Çetintaş, E, Luo, Y, Rivenson, Y, Larin, KV & Ozcan, A 2022, Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data. in CLEO: Applications and Technology, A and T 2022., AM5I.7, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), CLEO: Applications and Technology, A and T 2022, San Jose, United States, 15/05/22.

Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data. / Zhang, Yijie; Liu, Tairan; Singh, Manmohan et al.
CLEO: Applications and Technology, A and T 2022. Optica Publishing Group (formerly OSA), 2022. AM5I.7 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

AU - Zhang, Yijie

AU - Liu, Tairan

AU - Singh, Manmohan

AU - Çetintaş, Ege

AU - Luo, Yilin

AU - Rivenson, Yair

AU - Larin, Kirill V.

AU - Ozcan, Aydogan

PY - 2022/1/1

Y1 - 2022/1/1

N2 - We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.

AB - We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.

UR - https://www.scopus.com/pages/publications/85136782480

M3 - Conference contribution

AN - SCOPUS:85136782480

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Applications and Technology, A and T 2022

Y2 - 15 May 2022 through 20 May 2022

ER -

Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

Abstract

Publication series

Conference

ASJC Scopus subject areas

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Cite this