CaltechAUTHORS
  A Caltech Library Service

Compressed-sensing photoacoustic computed tomography in vivo with partially known support

Meng, Jing and Wang, Lihong V. and Ying, Leslie and Liang, Dong and Song, Liang (2012) Compressed-sensing photoacoustic computed tomography in vivo with partially known support. Optics Express, 20 (15). pp. 16510-16523. ISSN 1094-4087. doi:10.1364/OE.20.016510. https://resolver.caltech.edu/CaltechAUTHORS:20160809-103335168

[img] PDF - Published Version
See Usage Policy.

3MB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20160809-103335168

Abstract

Compressed sensing (CS) can recover sparse signals from under-sampled measurements. In this work, we have developed an advanced CS framework for photoacoustic computed tomography (PACT). During the reconstruction, a small part of the nonzero signals’ locations in the transformed sparse domain is used as partially known support (PKS). PACT reconstructions have been performed with under-sampled in vivo image data of human hands and a rat. Compared to PACT with basic CS, PACT with CS-PKS can recover signals using fewer ultrasonic transducer elements and can improve convergence speed, which may ultimately enable high-speed, low-cost PACT for various biomedical applications.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1364/OE.20.016510DOIArticle
https://www.osapublishing.org/oe/abstract.cfm?uri=oe-20-15-16510PublisherArticle
ORCID:
AuthorORCID
Meng, Jing0000-0002-9069-8988
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2012 Optical Society of America. Received 19 Apr 2012; revised 22 May 2012; accepted 22 May 2012; published 6 Jul 2012. This work was supported in part by the Shenzhen Development and Reform Commission Fund [2010] 1599 (Key Technologies for Medical Imaging), the Guangdong Innovation Research Team Fund for Low-cost Healthcare Technologies (GIRTF-LCHT), the Low-cost Health Engineering Research Program of the Chinese Academy of Sciences [2011] to L.S., as well as the National Natural Science Foundation of China 61102042, 81120108012, and the Basic Research Program of Shenzhen JC201104220219A to D.L.. J. Meng would like to thank H. F. Shi and J. H. Chen for beneficial discussions on the analysis of frequency signals.
Funders:
Funding AgencyGrant Number
Shenzhen Development and Reform Commission Fund1599
Guangdong Innovation Research Team Fund for Low-cost Healthcare TechnologiesUNSPECIFIED
Chinese Academy of SciencesUNSPECIFIED
National Natural Science Foundation of China61102042
National Natural Science Foundation of China81120108012
Basic Research Program of ShenzhenJC201104220219A
Issue or Number:15
Classification Code:OCIS codes: (170.5120) Photoacoustic imaging; (170.3880) Medical and biological imaging
DOI:10.1364/OE.20.016510
Record Number:CaltechAUTHORS:20160809-103335168
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160809-103335168
Official Citation:Jing Meng, Lihong V. Wang, Leslie Ying, Dong Liang, and Liang Song, "Compressed-sensing photoacoustic computed tomography in vivo with partially known support," Opt. Express 20, 16510-16523 (2012)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:69513
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Aug 2016 18:46
Last Modified:11 Nov 2021 04:15

Repository Staff Only: item control page