Label-free three-dimensional human vascular imaging enabled by photoacoustic tomography and deep learning

Jun Xia

doi:10.1364/ISA.2023.ITh1C.4

Label-free three-dimensional human vascular imaging enabled by photoacoustic tomography and deep learning

Jun Xia

Department of Biomedical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

We utilized three-dimensional deep learning techniques to improve photoacoustic vascular imaging performance. The improved result demonstrated better performance in palm biometrics, breast imaging, and foot ulcer imaging.

Original language	English
DOIs	https://doi.org/10.1364/ISA.2023.ITh1C.4
State	Published - 2023
Event	2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 - Boston, United States Duration: Aug 14 2023 → Aug 17 2023

Conference

Conference	2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023
Country/Territory	United States
City	Boston
Period	08/14/23 → 08/17/23

Access to Document

10.1364/ISA.2023.ITh1C.4

Cite this

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title = "Label-free three-dimensional human vascular imaging enabled by photoacoustic tomography and deep learning",

abstract = "We utilized three-dimensional deep learning techniques to improve photoacoustic vascular imaging performance. The improved result demonstrated better performance in palm biometrics, breast imaging, and foot ulcer imaging.",

author = "Jun Xia",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s).; 2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 ; Conference date: 14-08-2023 Through 17-08-2023",

year = "2023",

doi = "10.1364/ISA.2023.ITh1C.4",

language = "English",

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T1 - Label-free three-dimensional human vascular imaging enabled by photoacoustic tomography and deep learning

AU - Xia, Jun

PY - 2023

Y1 - 2023

N2 - We utilized three-dimensional deep learning techniques to improve photoacoustic vascular imaging performance. The improved result demonstrated better performance in palm biometrics, breast imaging, and foot ulcer imaging.

AB - We utilized three-dimensional deep learning techniques to improve photoacoustic vascular imaging performance. The improved result demonstrated better performance in palm biometrics, breast imaging, and foot ulcer imaging.

UR - https://www.scopus.com/pages/publications/85193066133

U2 - 10.1364/ISA.2023.ITh1C.4

DO - 10.1364/ISA.2023.ITh1C.4

M3 - Paper

AN - SCOPUS:85193066133

T2 - 2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

Y2 - 14 August 2023 through 17 August 2023

ER -

Label-free three-dimensional human vascular imaging enabled by photoacoustic tomography and deep learning

Abstract

Conference

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