Published February 11, 2010
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Compressed sensing in photoacoustic tomography with in vivo experiments
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Abstract
The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the laser repetition rate and the number of parallel ultrasound detecting channels. Reconstructing PACT image with a less number of measurements can effectively accelerate the data acquisition and reduce the system cost. Recently emerged Compressed Sensing (CS) theory enables us to reconstruct a compressible image with a small number of projections. This paper adopts the CS theory for reconstruction in PACT. The idea is implemented as a non-linear conjugate gradient descent algorithm and tested with phantom and in vivo experiments.
Additional Information
© 2010 Society of Photo-Optical Instrumentation Engineers (SPIE). This work was sponsored in part by National Institutes of Health grants R01 EB008085, U54 CA136398, R01 CA113453901, R01 NS46214 (BRP) and R01 EB000712. L. W. has a financial interest in Microphotoacoustics, Inc. and Endra, Inc., which, however, did not support this work.Attached Files
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Additional details
Identifiers
- Eprint ID
- 89769
- Resolver ID
- CaltechAUTHORS:20180919-160039714
Funding
- NIH
- R01 EB008085
- NIH
- U54 CA136398
- NIH
- R01 CA113453901
- NIH
- R01 NS46214
- NIH
- R01 EB000712
Dates
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2018-09-19Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 7564