Spiral volumetric optoacoustic tomography visualizes multi-scale dynamics in mice

Deán‐Ben, Xosé Luís; Fehm, Thomas Felix; Ford, Steven J.; Gottschalk, Sven; Razansky, Daniel

doi:10.1038/lsa.2016.247

Cited by 100 publications

(96 citation statements)

References 50 publications

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“…As a rule of thumb, depth-to-resolution ratio of approximately 200 can be achieved for in vivo applications [13]. Imaging of dynamic biological events is continuously applicable all the way from video-rate volumetric acquisitions to longitudinal studies of disease progression and treatment monitoring lasting for days or weeks [73]. As anticipated, the temporal resolution generally scales inversely with the effective field of view (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Additional acceleration can be achieved by scanning ultrasound arrays instead of single detectors. Various scanning geometries have been proposed using linear and curved arrays in order to render whole-body 3D images from small animals [71–73] or from the human breast [74]. …”

Section: Optoacoustic Approaches Enabling Imaging Of Biological Dymentioning

confidence: 99%

“…Imaging across multiple spatial and temporal scales can be achieved by scanning the spherical array along a helical trajectory, a technique termed spiral volumetric optoacoustic tomography (SVOT) [73,104]. In vivo experiments in mice demonstrated a wide range of dynamic imaging capabilities for this method, from 3D high-frame-rate visualization of moving organs and contrast agent kinetics in selected areas to whole-body longitudinal studies with unprecedented image quality (Fig.…”

Section: Optoacoustic Approaches Enabling Imaging Of Biological Dymentioning

confidence: 99%

“…(b) It takes about 5 minutes to acquire whole-body image data by combining all images acquired along the entire spiral trajectory. Adapted with permission from [73] © 2017 - Macmillan Publishers Ltd. (c) Whole-body optoacoustic images (gray scale) superimposed with images of a beating heart (orange) acquired in real time for a single position of the spherical array. Scale bar – 1cm.…”

Section: Figmentioning

confidence: 99%

“…(a) Blood half-life versus hydrodynamic diameter are shown for AF750 [73]; ICG [137] (note that ICG small molecules bind to albumin in blood, resulting in a hydrodynamic diameter of 11 nm that prevents kidney clearance [138]); gold nanorods (AuNR) [139]; liposomal ICG (Lipo-ICG) [137] and single-walled carbon nanotubes (SWNT) [140]. (b) Renal clearance of AF750 as visualized with spiral volumetric optoacoustic tomography (SVOT).…”

Section: Figmentioning

confidence: 99%

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Advanced optoacoustic methods for multiscale imaging of in vivo dynamics

et al. 2017

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Visualization of dynamic functional and molecular events in an unperturbed in vivo environment is essential for understanding the complex biology of living organisms and of disease state and progression. To this end, optoacoustic (photoacoustic) sensing and imaging have demonstrated the exclusive capacity to maintain excellent optical contrast and high resolution in deep-tissue observations, far beyond the penetration limits of modern microscopy. Yet, the time domain is paramount for the observation and study of complex biological interactions that may be invisible in single snapshots of living systems. This review focuses on the recent advances in optoacoustic imaging assisted by smart molecular labeling and dynamic contrast enhancement approaches that enable new types of multiscale dynamic observations not attainable with other bio-imaging modalities. A wealth of investigated new research topics and clinical applications is further discussed, including imaging of large-scale brain activity patterns, volumetric visualization of moving organs and contrast agent kinetics, molecular imaging using targeted and genetically expressed labels, as well as three-dimensional handheld diagnostics of human subjects.

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Section: Discussionmentioning

confidence: 99%

Section: Optoacoustic Approaches Enabling Imaging Of Biological Dymentioning

confidence: 99%

Section: Optoacoustic Approaches Enabling Imaging Of Biological Dymentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

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Advanced optoacoustic methods for multiscale imaging of in vivo dynamics

et al. 2017

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Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages

Zhao

Yang

et al. 2020

Advanced Science

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Optical‐resolution photoacoustic microscopy (OR‐PAM) is an excellent modality for in vivo biomedical imaging as it noninvasively provides high‐resolution morphologic and functional information without the need for exogenous contrast agents. However, the high excitation laser dosage, limited imaging speed, and imperfect image quality still hinder the use of OR‐PAM in clinical applications. The laser dosage, imaging speed, and image quality are mutually restrained by each other, and thus far, no methods have been proposed to resolve this challenge. Here, a deep learning method called the multitask residual dense network is proposed to overcome this challenge. This method utilizes an innovative strategy of integrating multisupervised learning, dual‐channel sample collection, and a reasonable weight distribution. The proposed deep learning method is combined with an application‐targeted modified OR‐PAM system. Superior images under ultralow laser dosage (32‐fold reduced dosage) are obtained for the first time in this study. Using this new technique, a high‐quality, high‐speed OR‐PAM system that meets clinical requirements is now conceivable.

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Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)

et al. 2022

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Photoacoustic computed tomography (PACT) has become a premier preclinical and clinical imaging modality. Although PACT's image quality can be dramatically improved with a large number of ultrasound (US) transducer elements and associated multiplexed data acquisition systems, the associated high system cost and/or slow temporal resolution are significant problems. Here, a deep learning-based approach is demonstrated that qualitatively and quantitively diminishes the limited-view artifacts that reduce image quality and improves the slow temporal resolution. This deep learning-enhanced multiparametric dynamic volumetric PACT approach, called DL-PACT, requires only a clustered subset of many US transducer elements on the conventional multiparametric PACT. Using DL-PACT, high-quality static structural and dynamic contrast-enhanced whole-body images as well as dynamic functional brain images of live animals and humans are successfully acquired, all in a relatively fast and cost-effective manner. It is believed that the strategy can significantly advance the use of PACT technology for preclinical and clinical applications such as neurology, cardiology, pharmacology, endocrinology, and oncology.

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Spiral volumetric optoacoustic tomography visualizes multi-scale dynamics in mice

Cited by 100 publications

References 50 publications

Advanced optoacoustic methods for multiscale imaging of in vivo dynamics

Advanced optoacoustic methods for multiscale imaging of in vivo dynamics

Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages

Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)

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