Fast and Robust Deconvolution-Based Image Reconstruction for Photoacoustic Tomography in Circular Geometry: Experimental Validation
Photoacoustic tomography (PAT) is a fast-developing biomedical imaging technology suitable for <i>in vivo</i> imaging. PAT in spherical or circular geometry gives good image resolution yet is slow or expensive in signal acquisition and image formation. Reducing the number of detection an...
Main Authors: | Chi Zhang, Changhui Li, Lihong V. Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2010-01-01
|
Series: | IEEE Photonics Journal |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/5411796/ |
Similar Items
-
Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction
by: Chengwen Guo, et al.
Published: (2018-11-01) -
Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction
by: Ko-Tsung Hsu, et al.
Published: (2021-09-01) -
Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
by: Hengrong Lan, et al.
Published: (2020-12-01) -
Quantitative Reconstruction of Absorption Coefficients for Photoacoustic Tomography
by: Yang Liu, et al.
Published: (2019-03-01) -
Single laser-shot super-resolution photoacoustic tomography with fast sparsity-based reconstruction
by: David Egolf, et al.
Published: (2021-06-01)