Distributed compressed sensing for photo-acoustic imaging

Francis, K J and P, Rajalakshmi and Channappayya, Sumohana (2015) Distributed compressed sensing for photo-acoustic imaging. In: IEEE International Conference on Image Processing (ICIP), 27-30 Sept. 2015, Quebec City, QC.

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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.

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IITH Creators:	IITH Creators ORCiD P, Rajalakshmi UNSPECIFIED Channappayya, Sumohana UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Distributed Compressive Sensing, Joint sparsity, Photo-Acoustic Tomography
Subjects:	Others > Electricity Others > Electronic imaging & Singal processing
Divisions:	Department of Electrical Engineering
Depositing User:	Team Library
Date Deposited:	18 Feb 2016 04:48
Last Modified:	05 Mar 2018 07:19
URI:	http://raiithold.iith.ac.in/id/eprint/2189
Publisher URL:	https://doi.org/10.1109/ICIP.2015.7351053
Related URLs:	Google Scholar

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