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, ICIP 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, ICIP 2015
Abbreviated titleICIP
CountryCanada
CityQuebec City
Period27/09/1530/09/15

Keywords

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

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  • 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