Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy

Sushanth G. Sathyanarayana; Bo Ning; Song Hu; John A. Hossack

doi:10.1109/ULTSYM.2017.8092035

Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy

Sushanth G. Sathyanarayana
, Bo Ning
, Song Hu
, John A. Hossack

Department of Biomedical Engineering

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

Abstract

Photoacoustic Microscopy (PAM) offers a unique combination of high contrast from endogenous optical absorbers, and increased penetration to image microvasculature. However, images of the vasculature at increased depth are often corrupted by acoustic reverberation from superficial layers. In this paper, we present an algorithm using dictionary learning to remove the reverberant signal while preserving underlying microvascular anatomy. The algorithm was validated in vitro, using dyed beads embedded polydimenthylsiloxane (PDMS). Subsequently, we demonstrate suppression of reverberant artifacts by 20 ± 0.2 dB using in vivo PAM data acquired in a mouse brain.

Original language	English
Title of host publication	2017 IEEE International Ultrasonics Symposium, IUS 2017
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8092035
State	Published - Oct 31 2017
Event	2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States Duration: Sep 6 2017 → Sep 9 2017

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Conference

Conference	2017 IEEE International Ultrasonics Symposium, IUS 2017
Country/Territory	United States
City	Washington
Period	09/6/17 → 09/9/17

Keywords

Dictionary learning
PAM
Reverberation

Access to Document

10.1109/ULTSYM.2017.8092035

Cite this

@inproceedings{6e50d29ebe3e43d3a26d58c41c26e277,

title = "Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy",

abstract = "Photoacoustic Microscopy (PAM) offers a unique combination of high contrast from endogenous optical absorbers, and increased penetration to image microvasculature. However, images of the vasculature at increased depth are often corrupted by acoustic reverberation from superficial layers. In this paper, we present an algorithm using dictionary learning to remove the reverberant signal while preserving underlying microvascular anatomy. The algorithm was validated in vitro, using dyed beads embedded polydimenthylsiloxane (PDMS). Subsequently, we demonstrate suppression of reverberant artifacts by 20 ± 0.2 dB using in vivo PAM data acquired in a mouse brain.",

keywords = "Dictionary learning, PAM, Reverberation",

author = "Sathyanarayana, \{Sushanth G.\} and Bo Ning and Song Hu and Hossack, \{John A.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",

year = "2017",

month = oct,

day = "31",

doi = "10.1109/ULTSYM.2017.8092035",

language = "English",

series = "IEEE International Ultrasonics Symposium, IUS",

publisher = "IEEE Computer Society",

booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",

}

Sathyanarayana, SG, Ning, B, Hu, S & Hossack, JA 2017, Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092035, IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 09/6/17. https://doi.org/10.1109/ULTSYM.2017.8092035

Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy. / Sathyanarayana, Sushanth G.; Ning, Bo; Hu, Song et al.
2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092035 (IEEE International Ultrasonics Symposium, IUS).

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

TY - GEN

T1 - Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy

AU - Sathyanarayana, Sushanth G.

AU - Ning, Bo

AU - Hu, Song

AU - Hossack, John A.

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Photoacoustic Microscopy (PAM) offers a unique combination of high contrast from endogenous optical absorbers, and increased penetration to image microvasculature. However, images of the vasculature at increased depth are often corrupted by acoustic reverberation from superficial layers. In this paper, we present an algorithm using dictionary learning to remove the reverberant signal while preserving underlying microvascular anatomy. The algorithm was validated in vitro, using dyed beads embedded polydimenthylsiloxane (PDMS). Subsequently, we demonstrate suppression of reverberant artifacts by 20 ± 0.2 dB using in vivo PAM data acquired in a mouse brain.

AB - Photoacoustic Microscopy (PAM) offers a unique combination of high contrast from endogenous optical absorbers, and increased penetration to image microvasculature. However, images of the vasculature at increased depth are often corrupted by acoustic reverberation from superficial layers. In this paper, we present an algorithm using dictionary learning to remove the reverberant signal while preserving underlying microvascular anatomy. The algorithm was validated in vitro, using dyed beads embedded polydimenthylsiloxane (PDMS). Subsequently, we demonstrate suppression of reverberant artifacts by 20 ± 0.2 dB using in vivo PAM data acquired in a mouse brain.

KW - Dictionary learning

KW - PAM

KW - Reverberation

UR - https://www.scopus.com/pages/publications/85039436322

U2 - 10.1109/ULTSYM.2017.8092035

DO - 10.1109/ULTSYM.2017.8092035

M3 - Conference contribution

AN - SCOPUS:85039436322

T3 - IEEE International Ultrasonics Symposium, IUS

BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017

PB - IEEE Computer Society

T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017

Y2 - 6 September 2017 through 9 September 2017

ER -

Reverberation suppression using dictionary learning in optical resolution photoacoustic microscopy

Abstract

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Keywords

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