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Open AccessJournal Article

Photoacoustic imaging in biomedicine

Xu Xiao
- 01 Jan 2008 - 
TLDR
In this paper, the authors provide an overview of the rapidly developing field of photoacoustic imaging, which is a promising method for visualizing biological tissues with optical absorbers, compared with optical imaging and ultrasonic imaging.
Abstract
Photoacoustic imaging is a promising method for visualizing biological tissues with optical absorbers. This article provides an overview of the rapidly developing field of photoacoustic imaging. Photoacoustics, the physical basis of photoacoustic imaging, is analyzed briefly. The merits of photoacoustic technology, compared with optical imaging and ultrasonic imaging, are described. Various imaging techniques are also discussed, including scanning tomography, computed tomography and original detection of photoacoustic imaging. Finally, some biomedical applications of photoacoustic imaging are summarized.

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Citations
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Biomedical photoacoustic imaging

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Multiscale photoacoustic microscopy and computed tomography.

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Porphysome nanovesicles generated by porphyrin bilayers for use as multimodal biophotonic contrast agents

TL;DR: The development of porphysomes; nanovesicles formed from self-assembled porphyrin bilayers that generated large, tunable extinction coefficients, structure-dependent fluorescence self-quenching and unique photothermal and photoacoustic properties demonstrate the multimodal potential of organic nanoparticles for biophotonic imaging and therapy.
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Tutorial on Photoacoustic Microscopy and Computed Tomography

TL;DR: In this paper, the fundamentals of photoacoustics are first introduced and then, scanning photoacoustic microscopy and reconstruction-based photo-acoustic computed tomography (or photo acoustics computed tomograph) are covered.
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Development and Applications of Photo-triggered Theranostic Agents

TL;DR: Recent developments in the use of light-triggered theranostic agents for simultaneous imaging and photoactivation of therapeutic agents for several diseases are reviewed.
References
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Proceedings ArticleDOI

Deconvolution algorithms for photoacoustic tomography to reduce blurring caused by finite sized detectors

TL;DR: In this article, deconvolution was used to reduce the blurring caused by a finite detector size, which is proportional to the distance from the rotation center (spin blur) and is equal to the detector size at the detection surface.
Proceedings ArticleDOI

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Proceedings ArticleDOI

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Proceedings ArticleDOI

Spectrum analysis of photoacoustic signals for tissue classification

TL;DR: This work investigated the feasibility of obtaining quantitative photoacoustic estimates for sensi- tivity to microstructure and chromophores for tissue classification and found that all estimates were correlated with the size of particles dispersed in the phantoms.
Posted Content

Efficient regularization with wavelet sparsity constraints in PAT

TL;DR: This paper develops a direct reconstruction method that employs regularization with wavelet sparsity constraints and derives a wavelet-vaguelette decomposition (WVD) for the PAT forward operator and a corresponding explicit reconstruction formula in the case of exact data.
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