Open Access
30 April 2019 Photoacoustic elastography imaging: a review
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Abstract
Elastography imaging is a promising tool—in both research and clinical settings—for diagnosis, staging, and therapeutic treatments of various life-threatening diseases (including brain tumors, breast cancers, prostate cancers, and Alzheimer’s disease). Large variation in the physical (elastic) properties of tissue, from normal to diseased stages, enables highly sensitive characterization of pathophysiological states of the diseases. On the other hand, over the last decade or so, photoacoustic (PA) imaging—an imaging modality that combines the advantageous features of two separate imaging modalities, i.e., high spatial resolution and high contrast obtainable, respectively, from ultrasound- and optical-based modalities—has been emerging and widely studied. Recently, recovery of elastic properties of soft biological tissues—in addition to prior reported recovery of vital tissue physiological information (Hb, HbO2, SO, and total Hb), noninvasively and nondestructively, with unprecedented spatial resolution (μm) at penetration depth (cm)—has been reported. Studies demonstrating that combined recovery of mechanical tissue properties and physiological information—by a single (PA) imaging unit—pave a promising platform in clinical diagnosis and therapeutic treatments. We offer a comprehensive review of PA imaging technology, focusing on recent advances in relation to elastography. Our review draws out technological challenges pertaining to PA elastography (PAE) imaging, and viable approaches. Currently, PAE imaging is in the nurture stage of its development, where the technology is limited to qualitative study. The prevailing challenges (specifically, quantitative measurements) may be addressed in a similar way by which ultrasound elastography and optical coherence elastography were accredited for quantitative measurements.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Mayanglambam S. Singh and Anjali Thomas "Photoacoustic elastography imaging: a review," Journal of Biomedical Optics 24(4), 040902 (30 April 2019). https://doi.org/10.1117/1.JBO.24.4.040902
Received: 8 December 2018; Accepted: 5 April 2019; Published: 30 April 2019
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
Tissues

Elastography

Signal detection

Tissue optics

Acoustics

Ultrasonography

Transducers

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