Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Hailong He; Jaya Prakash; Andreas Buehler; Vasilis Ntziachristos

doi:10.1117/12.2252501

Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Hailong He, Jaya Prakash, Andreas Buehler, Vasilis Ntziachristos

Chair of Biological Imaging

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

Abstract

Sparse recovery algorithms have shown great potential to reconstruct images with limited view datasets in optoacoustic tomography, with a disadvantage of being computational expensive. In this paper, we improve the fast convergent Split Augmented Lagrangian Shrinkage Algorithm (SALSA) method based on least square QR (LSQR) formulation for performing accelerated reconstructions. Further, coherence factor is calculated to weight the final reconstruction result, which can further reduce artifacts arising in limited-view scenarios and acoustically heterogeneous mediums. Several phantom and biological experiments indicate that the accelerated SALSA method with coherence factor (ASALSA-CF) can provide improved reconstructions and much faster convergence compared to existing sparse recovery methods.

Original language	English
Title of host publication	Photons Plus Ultrasound
Subtitle of host publication	Imaging and Sensing 2017
Editors	Alexander A. Oraevsky, Lihong V. Wang
Publisher	SPIE
ISBN (Electronic)	9781510605695
DOIs	https://doi.org/10.1117/12.2252501
State	Published - 2017
Event	Photons Plus Ultrasound: Imaging and Sensing 2017 - San Francisco, United States Duration: 29 Jan 2017 → 1 Feb 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10064
ISSN (Print)	1605-7422

Conference

Conference	Photons Plus Ultrasound: Imaging and Sensing 2017
Country/Territory	United States
City	San Francisco
Period	29/01/17 → 1/02/17

Keywords

Image quality enhancement
Model-based reconstruction
Optoacoustic tomography
Sparse recovery method

Access to Document

10.1117/12.2252501

Cite this

@inproceedings{95f3d9afd15944f0bed3508790eb48d0,

title = "Fast sparse recovery and coherence factor weighting in optoacoustic tomography",

abstract = "Sparse recovery algorithms have shown great potential to reconstruct images with limited view datasets in optoacoustic tomography, with a disadvantage of being computational expensive. In this paper, we improve the fast convergent Split Augmented Lagrangian Shrinkage Algorithm (SALSA) method based on least square QR (LSQR) formulation for performing accelerated reconstructions. Further, coherence factor is calculated to weight the final reconstruction result, which can further reduce artifacts arising in limited-view scenarios and acoustically heterogeneous mediums. Several phantom and biological experiments indicate that the accelerated SALSA method with coherence factor (ASALSA-CF) can provide improved reconstructions and much faster convergence compared to existing sparse recovery methods.",

keywords = "Image quality enhancement, Model-based reconstruction, Optoacoustic tomography, Sparse recovery method",

author = "Hailong He and Jaya Prakash and Andreas Buehler and Vasilis Ntziachristos",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Photons Plus Ultrasound: Imaging and Sensing 2017 ; Conference date: 29-01-2017 Through 01-02-2017",

year = "2017",

doi = "10.1117/12.2252501",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Oraevsky, {Alexander A.} and Wang, {Lihong V.}",

booktitle = "Photons Plus Ultrasound",

}

He, H, Prakash, J, Buehler, A & Ntziachristos, V 2017, Fast sparse recovery and coherence factor weighting in optoacoustic tomography. in AA Oraevsky & LV Wang (eds), Photons Plus Ultrasound: Imaging and Sensing 2017., 100642N, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10064, SPIE, Photons Plus Ultrasound: Imaging and Sensing 2017, San Francisco, United States, 29/01/17. https://doi.org/10.1117/12.2252501

Fast sparse recovery and coherence factor weighting in optoacoustic tomography. / He, Hailong; Prakash, Jaya; Buehler, Andreas et al.
Photons Plus Ultrasound: Imaging and Sensing 2017. ed. / Alexander A. Oraevsky; Lihong V. Wang. SPIE, 2017. 100642N (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10064).

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

TY - GEN

T1 - Fast sparse recovery and coherence factor weighting in optoacoustic tomography

AU - He, Hailong

AU - Prakash, Jaya

AU - Buehler, Andreas

AU - Ntziachristos, Vasilis

PY - 2017

Y1 - 2017

N2 - Sparse recovery algorithms have shown great potential to reconstruct images with limited view datasets in optoacoustic tomography, with a disadvantage of being computational expensive. In this paper, we improve the fast convergent Split Augmented Lagrangian Shrinkage Algorithm (SALSA) method based on least square QR (LSQR) formulation for performing accelerated reconstructions. Further, coherence factor is calculated to weight the final reconstruction result, which can further reduce artifacts arising in limited-view scenarios and acoustically heterogeneous mediums. Several phantom and biological experiments indicate that the accelerated SALSA method with coherence factor (ASALSA-CF) can provide improved reconstructions and much faster convergence compared to existing sparse recovery methods.

AB - Sparse recovery algorithms have shown great potential to reconstruct images with limited view datasets in optoacoustic tomography, with a disadvantage of being computational expensive. In this paper, we improve the fast convergent Split Augmented Lagrangian Shrinkage Algorithm (SALSA) method based on least square QR (LSQR) formulation for performing accelerated reconstructions. Further, coherence factor is calculated to weight the final reconstruction result, which can further reduce artifacts arising in limited-view scenarios and acoustically heterogeneous mediums. Several phantom and biological experiments indicate that the accelerated SALSA method with coherence factor (ASALSA-CF) can provide improved reconstructions and much faster convergence compared to existing sparse recovery methods.

KW - Image quality enhancement

KW - Model-based reconstruction

KW - Optoacoustic tomography

KW - Sparse recovery method

UR - http://www.scopus.com/inward/record.url?scp=85019267335&partnerID=8YFLogxK

U2 - 10.1117/12.2252501

DO - 10.1117/12.2252501

M3 - Conference contribution

AN - SCOPUS:85019267335

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Photons Plus Ultrasound

A2 - Oraevsky, Alexander A.

A2 - Wang, Lihong V.

PB - SPIE

T2 - Photons Plus Ultrasound: Imaging and Sensing 2017

Y2 - 29 January 2017 through 1 February 2017

ER -

Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this