AIMC Topic: Photoacoustic Techniques

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Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for photoacoustic (PA) signals require a large number of data points for accura...
Phantoms, Imaging Photoacoustic Techniques Transducers Deep Learning Tomography Image Processing, Computer-Assisted
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A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Optical photons undergo strong scattering when propagating beyond 1-mm deep inside biological tissue. Finding the origin of these diffused optical wavefronts is a challenging task. Breaking through the optical diffusion limit, photoacoustic (PA) imag...
Image Processing, Computer-Assisted Phantoms, Imaging Deep Learning Photoacoustic Techniques
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Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

IEEE transactions on medical imaging Oct 28, 2020
Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical applications, but is still elusive, in particular in sub-epidermal measurements. Eigenspectra multispectral optoacoustic tomography (eMSOT) and its Bay...
Mice Animals Photoacoustic Techniques Bayes Theorem Tomography Deep Learning Oxygen
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Deep learning protocol for improved photoacoustic brain imaging.

Journal of biophotonics Aug 17, 2020
One of the key limitations for the clinical translation of photoacoustic imaging is penetration depth that is linked to the tissue maximum permissible exposures (MPE) recommended by the American National Standards Institute (ANSI). Here, we propose a...
Humans Animals Deep Learning Sheep Brain Infant, Newborn Photoacoustic Techniques Spectrum Analysis Neuroimaging
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A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 25, 2020
Photoacoustic tomography (PAT) is a hybrid technique for high-resolution imaging of optical absorption in tissue. Among various transducer arrays proposed for PAT, the ring-shaped transducer array is widely used in cross-sectional imaging application...
Photoacoustic Techniques Tomography Image Processing, Computer-Assisted Artifacts Tomography, X-Ray Computed Deep Learning
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High-quality photoacoustic image reconstruction based on deep convolutional neural network: towards intra-operative photoacoustic imaging.

Biomedical physics & engineering express Jun 12, 2020
The use of intra-operative imaging system as an intervention solution to provide more accurate localization of complicated structures has become a necessity during the neurosurgery. However, due to the limitations of conventional imaging systems, hig...
Signal-To-Noise Ratio Phantoms, Imaging Photoacoustic Techniques Mice Diagnostic Imaging Neural Networks, Computer Time Factors Artifacts Algorithms Image Processing, Computer-Assisted Animals Brain Humans Deep Learning
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Photoacoustic Imaging to Track Magnetic-manipulated Micro-Robots in Deep Tissue.

Sensors (Basel, Switzerland) May 15, 2020
The next generation of intelligent robotic systems has been envisioned as micro-scale mobile and externally controllable robots. Visualization of such small size microrobots to track their motion in nontransparent medium such as human tissue remains ...
Ultrasonography Robotics Humans Phantoms, Imaging Diagnostic Imaging Photoacoustic Techniques Magnetics
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Automatic cancer tissue detection using multispectral photoacoustic imaging.

International journal of computer assisted radiology and surgery Dec 21, 2019
PURPOSE: In the case of multispecimen study to locate cancer regions, such as in thyroidectomy and prostatectomy, a significant labor-intensive processing is required at a high cost. Pathology diagnosis is usually done by a pathologist observing tiss...
Prostatic Neoplasms Photoacoustic Techniques Humans Male Neural Networks, Computer Deep Learning Algorithms Thyroid Neoplasms
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Fully automated identification of skin morphology in raster-scan optoacoustic mesoscopy using artificial intelligence.

Medical physics Aug 6, 2019
PURPOSE: Identification of morphological characteristics of skin lesions is of vital importance in diagnosing diseases with dermatological manifestations. This task is often performed manually or in an automated way based on intensity level. Recently...
Adult Male Artificial Intelligence Automation Humans Middle Aged Aged Photoacoustic Techniques Female Image Processing, Computer-Assisted Aged, 80 and over Skin
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A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation.

IEEE transactions on medical imaging Jun 10, 2019
In an inhomogeneously illuminated photoacoustic image, important information like vascular geometry is not readily available, when only the initial pressure is reconstructed. To obtain the desired information, algorithms for image segmentation are of...
Photoacoustic Techniques Image Processing, Computer-Assisted Neural Networks, Computer Tomography Phantoms, Imaging Algorithms
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