Photoacoustic elastography

Hai, Pengfei; Yao, Junjie; Guo, Li; Li, Chiye; Wang, Lihong V.

doi:10.1364/ol.41.000725

Cited by 49 publications

(33 citation statements)

References 27 publications

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“…They can potentially be used to re°ect pathological conditions. Several imaging techniques, including ultrasound elastography, 61 magnetic resonance elastography (MRE), 62 optical coherence elastography (OCE) 63 and PA elastography, 64 have been used for mapping elasticity distribution. However, we noticed that these techniques ignore the fact that biological tissues are usually considered to be viscoelastic rather than elastic.…”

Section: Discussionmentioning

confidence: 99%

Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues

Shi

Yang

Wang

2017

J. Innov. Opt. Health Sci.

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Since changes in mechanical properties of biological tissues are often closely related to pathology, the viscoelastic properties are important physical parameters for medical diagnosis. A photoacoustic (PA) phase-resolved method for noninvasively characterizing the biological tissue viscoelasticity has been proposed by Gao et al. [G. Gao, S. Yang, D. Xing, \Viscoelasticity imaging of biological tissues with phase-resolved photoacoustic measurement," Opt. Lett. 36, 3341-3343 (2011)]. The mathematical relationship between the PA phase delay and the viscosity-elasticity ratio has been theoretically deduced. Moreover, systems of PA viscoelasticity (PAVE) imaging including PAVE microscopy and PAVE endoscopy were developed, and high-PA-phase contrast images re°ecting the tissue viscoelasticity information have been successfully achieved. The PAVE method has been developed in tumor detection, atherosclerosis characterization and related vascular endoscopy. We reviewed the development of the PAVE technique and its applications in biomedical¯elds. It is believed that PAVE imaging is of great potential in both biomedical applications and clinical studies.

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Section: Discussionmentioning

confidence: 99%

Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues

Shi

Yang

Wang

2017

J. Innov. Opt. Health Sci.

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“…Inspired by manual palpation, medical imaging technologies have been developed to measure tissue elasticity, known as elastography. Elastography has been implemented on various medical imaging modalities including ultrasound elastography (USE) 2 , magnetic resonance elastography (MRE) 3 , optical coherence elastography (OCE) 4 , and photoacoustic elastography (PAE) 5 . In elastography, tissue deformation is induced by a static or dynamic load and imaged.…”

Section: Introductionmentioning

confidence: 99%

“…PAT has been demonstrated capable of providing structural, functional, and metabolic information [12][13][14][15][16] . PAT has also successfully measured the elastic properties of biological tissue, including strain 5 , the viscosity-elasticity ratio 17 , and vascular compliance 18 . Yet, all the aforementioned photoacoustic elastic imaging techniques measure only relative elastic properties.…”

Section: Introductionmentioning

confidence: 99%

Quantitative photoacoustic elastography of Young’s modulus in humans

Hai

Zhou

Gong

et al. 2017

Photons Plus Ultrasound: Imaging and Sensing 2017

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Elastography can noninvasively map the elasticity distribution of biological tissue, which is often altered in pathological states. In this work, we report quantitative photoacoustic elastography (QPAE), capable of measuring Young's modulus of human tissue in vivo. By combining photoacoustic elastography with a stress sensor having known stress-strain behavior, QPAE can simultaneously measure strain and stress, from which Young's modulus is calculated. We first applied QPAE to quantify the Young's modulus of tissue-mimicking agar phantoms with different concentrations. The measured values fitted well with both the empirical expectations based on the agar concentrations and those measured in independent standard compression tests. We then demonstrated the feasibility of QPAE by measuring the Young's modulus of human skeletal muscle in vivo. The data showed a linear relationship between muscle stiffness and loading. The results proved that QPAE can noninvasively quantify the absolute elasticity of biological tissue, thus enabling longitudinal imaging of tissue elasticity. QPAE can be exploited for both preclinical biomechanics studies and clinical applications.

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“…By integrating optical excitation with acoustic detection, photoacoustic tomography (PAT) combines rich optical absorption contrasts with high ultrasonic spatial resolution at depths 12 . With 100% relative sensitivity to optical absorption, i.e., a given percentage change in the optical absorption yields the same percentage change in the photoacoustic signal, PAT achieves structural, functional, metabolic, and mechanical imaging of biological tissue [13][14][15][16][17] . Taking advantage of the strong optical absorption of melanin, photoacoustic techniques have been successfully used for imaging and sensing melanoma CTCs.…”

Section: Introductionmentioning

confidence: 99%

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

et al. 2017

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Circulating tumor cell (CTC) clusters arise from multicellular grouping in the primary tumor and elevate the metastatic potential by 23 to 50 fold compared to single CTCs. High throughout detection and quantification of CTC clusters is critical for understanding the tumor metastasis process and improving cancer therapy. In this work, we report a lineararray-based photoacoustic tomography (LA-PAT) system capable of label-free high-throughput CTC cluster detection and quantification in vivo. LA-PAT detects CTC clusters and quantifies the number of cells in them based on the contrast-to-noise ratios (CNRs) of photoacoustic signals. The feasibility of LA-PAT was first demonstrated by imaging CTC clusters ex vivo. LA-PAT detected CTC clusters in the blood-filled microtubes and computed the number of cells in the clusters. The size distribution of the CTC clusters measured by LA-PAT agreed well with that obtained by optical microscopy. We demonstrated the ability of LA-PAT to detect and quantify CTC clusters in vivo by imaging injected CTC clusters in rat tail veins. LA-PAT detected CTC clusters immediately after injection as well as when they were circulating in the rat bloodstreams. Similarly, the numbers of cells in the clusters were computed based on the CNRs of the photoacoustic signals. The data showed that larger CTC clusters disappear faster than the smaller ones. The results prove the potential of LA-PAT as a promising tool for both preclinical tumor metastasis studies and clinical cancer therapy evaluation.

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Photoacoustic elastography

Cited by 49 publications

References 27 publications

Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues

Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues

Quantitative photoacoustic elastography of Young’s modulus in humans

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

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