A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium

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) imaging (PAI) provides high-resolution and label-free...

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Bibliographic Details
Published in:	IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 67; no. 12; pp. 2649 - 2659
Main Authors:	Johnstonbaugh, Kerrick, Agrawal, Sumit, Durairaj, Deepit Abhishek, Fadden, Christopher, Dangi, Ajay, Karri, Sri Phani Krishna, Kothapalli, Sri-Rajasekhar
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Ablation Adaptive optics Artificial neural networks Attenuation Beamforming Biomedical optical imaging Blood vessels Coders Computer architecture Convolution Deep Learning deep-tissue imaging Electromagnetic absorption Fluence Hemoglobin Image contrast Image Processing, Computer-Assisted - methods Image resolution Localization Model accuracy Modules neural networks Optical imaging Optical scattering Optical variables control Phantoms, Imaging photoacoustic imaging (PAI) Photoacoustic Techniques - methods Random noise Real time Scattering Standard deviation Target recognition Thrombosis Tissues Ultrasonic imaging Visibility Wave fronts
ISSN:	0885-3010, 1525-8955, 1525-8955
Online Access:	Get full text
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