Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction

Photoacoustic imaging (PAI) has the potential to acquire 3-D optical images at high speed. Attempts at 3-D photoacoustic imaging have used a dense 2-D array of ultrasound detectors or have densely scanned a single detector on a 2-D surface. The former approach is costly and complicated to realize, w...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of biomedical optics Vol. 13; no. 5; p. 054052
Main Authors:	Ephrat, Pinhas, Keenliside, Lynn, Seabrook, Adam, Prato, Frank S, Carson, Jeffrey J L
Format:	Journal Article
Language:	English
Published:	United States 01.09.2008
Subjects:	Algorithms Equipment Design Equipment Failure Analysis Image Enhancement - instrumentation Image Enhancement - methods Image Interpretation, Computer-Assisted - instrumentation Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - instrumentation Microscopy, Acoustic - instrumentation Microscopy, Acoustic - methods Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity
ISSN:	1083-3668
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Photoacoustic imaging (PAI) has the potential to acquire 3-D optical images at high speed. Attempts at 3-D photoacoustic imaging have used a dense 2-D array of ultrasound detectors or have densely scanned a single detector on a 2-D surface. The former approach is costly and complicated to realize, while the latter is inherently slow. We present a different approach based on a sparse 2-D array of detector elements and an iterative reconstruction algorithm. This approach has the potential for fast image acquisition, since no mechanical scanning is required, and for simple and compact construction due to the smaller number of detector elements. We obtained spatial sensitivity maps of the sparse array and used them to optimize the image reconstruction algorithm. We then validated the method on phantoms containing 3-D distributions of optically absorbing point sources. Reconstruction of the point sources from the time-domain signals resulted in images with good contrast and accurate localization (< or =1 mm error). Image acquisition time was 1 s. The results suggest that 3-D PAI with a sparse array of detector elements is a viable approach. Furthermore, the rapid acquisition speed indicates the possibility of high frame rate 3-D PAI.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23
ISSN:	1083-3668
DOI:	10.1117/1.2992131