Distributed compressed sensing for photo-acoustic imaging

K. J. Francis, P. Rajalakshmi, Sumohana S. Channappayya

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Photo-Acoustic Tomography (PAT) combines ultrasound resolution and penetration with endogenous optical contrast of tissue. Real-time PAT imaging is limited by the number of parallel data acquisition channels and pulse repetition rate of the laser. Typical photoacoustic signals afford sparse representation. Additionally, PAT transducer configurations exhibit significant intra- and inter- signal correlation. In this work, we formulate photoacoustic signal recovery in the Distributed Compressed Sensing (DCS) framework to exploit this correlation. Reconstruction using the proposed method achieves better image quality than compressed sensing with significantly fewer samples. Through our results, we demonstrate that DCS has the potential to achieve real-time PAT imaging.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages1513-1517
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 9 Dec 2015
Externally publishedYes
EventIEEE International Conference on Image Processing 2015 - Quebec City, Canada
Duration: 27 Sep 201530 Sep 2015

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing 2015
Abbreviated titleICIP 2015
CountryCanada
CityQuebec City
Period27/09/1530/09/15

Fingerprint

Acoustic imaging
Compressed sensing
Tomography
Acoustics
Photoacoustic effect
Imaging techniques
Pulse repetition rate
Image quality
Transducers
Data acquisition
Ultrasonics
Tissue
Recovery
Lasers

Keywords

  • Distributed Compressive Sensing
  • Joint sparsity
  • Photo-Acoustic Tomography

Cite this

Francis, K. J., Rajalakshmi, P., & Channappayya, S. S. (2015). Distributed compressed sensing for photo-acoustic imaging. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 1513-1517). [7351053] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351053
Francis, K. J. ; Rajalakshmi, P. ; Channappayya, Sumohana S. / Distributed compressed sensing for photo-acoustic imaging. 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. pp. 1513-1517 (Proceedings - International Conference on Image Processing, ICIP).
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Francis, KJ, Rajalakshmi, P & Channappayya, SS 2015, Distributed compressed sensing for photo-acoustic imaging. in 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings., 7351053, Proceedings - International Conference on Image Processing, ICIP, vol. 2015-December, IEEE Computer Society, pp. 1513-1517, IEEE International Conference on Image Processing 2015, Quebec City, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351053

Distributed compressed sensing for photo-acoustic imaging. / Francis, K. J.; Rajalakshmi, P.; Channappayya, Sumohana S.

2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. p. 1513-1517 7351053 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Francis KJ, Rajalakshmi P, Channappayya SS. Distributed compressed sensing for photo-acoustic imaging. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society. 2015. p. 1513-1517. 7351053. (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2015.7351053