Multiscale photoacoustic microscopy and computed tomography

By Lihong V. Wang. Nature Photonics, 2009

1,370 citations recorded by the source corpus.

Photoacoustic tomography (PAT) is probably the fastest growing biomedical imaging technology owing to its capability of high-resolution sensing of rich optical contrast in vivo at depths beyond the optical transport mean free path (~1 mm in the skin). Existing high-resolution optical imaging technologies, such as confocal microscopy and two-photon microscopy, have fundamentally impacted biomedicine but cannot reach such depths. Taking advantage of low ultrasonic scattering, PAT indirectly improves tissue transparency by 100 to 1000 fold and consequently enables deeply penetrating functional and molecular imaging at high spatial resolution. Further, PAT holds the promise of in vivo imaging at multiple length scales ranging from subcellular organelles to organs with the same contrast origin, an important application in multiscale systems biology research.

Subfields: Biomedical Engineering, Mechanics of Materials, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/2ebefd1b12535e22cc072c8bb4d859986a3698b5

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Citations in the corpus

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography (2017, background): “2820382 energy by sensing laser-generated ultrasound (US) [2]–[7].”
Porphysome nanovesicles generated by porphyrin bilayers for use as multimodal biophotonic contrast agents. (2011, background): “, photoacoustic tomography (also known as optoacoustic tomography”
Photoacoustic imaging in cancer detection, diagnosis, and treatment guidance (2011, background): “The captured signals are then processed to form an image [6,9,10].”
Optical coherence tomography today: speed, contrast, and multimodality (2014, positive): “a contrast mechanism is photoacoustic tomography (PAT) or microscopy (PAM).(156) Multispectral PAM allows for calculating blood oxygen saturation even in strongly scattering neural tissue.”
NETT: solving inverse problems with deep neural networks (2018, methodology): “PAT is an emerging hybrid imaging method based on the conversion of light in sound, and bene cially combines the high contrast of optical imaging with the good resolution of ultrasound tomography (see, for example, [33, 40, 49, 50]).”
A review of clinical photoacoustic imaging: Current and future trends (2019, methodology): “It is interesting to note that clinically relevant FDA approved contrast agents such as indocyanine green, ICG [9] and methylene blue [10] are photoacoustically strong chromophores. https://doi.org/10.1016/j.pacs.2019.100144 Received 3 May 2019; Received in revised form 5 July 2019; Accepted 21 Augu”
Photoplethysmography revisited: from contact to noncontact, from point to imaging (2015, neutral): “Many reviews and books have been written on LDI, LSI, and PAT (for reviews, see [5]–[8]), which will not be repeated in this paper.”
Photoacoustic tomography of blood oxygenation: A mini review (2018, background): “PAM images targets in the quasi-ballistic and quasi-diffusive regime with focused excitation light and/or a focused single-element ultrasonic transducer for direct image formation [1,6].”
A Brain Tumor Molecular Imaging Strategy Using A New Triple-Modality MRI-Photoacoustic-Raman Nanoparticle (2012, positive): “This produces ultrasound waves that are recorded by an ultrasound transducer leading to a three-dimensional image of the imaging agent distribution in living subjects 15,16 .”