Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer-Reference-Cited by-同舟云学术

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Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer

Published:2023-06-20 Issue:06 Volume:28 Page:
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:
Short-container-title:J. Biomed. Opt.

Author:

Park Seonyeong¹,Villa Umberto²,Li Fu¹,Cam Refik Mert³,Oraevsky Alexander A.⁴,Anastasio Mark A.¹

Affiliation:

1. University of Illinois Urbana-Champaign, Department of Bioengineering, Urbana, Illinois, United States

2. The University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, Texas, United States

3. University of Illinois Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States

4. TomoWave Laboratories, Houston, Texas, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics;Journal of Biomedical Optics;2024-04-04

2. Bayesian Cramér-Rao bound optimization of the illumination pattern in quantitative photoacoustic computed tomography;Medical Imaging 2024: Physics of Medical Imaging;2024-04-01

3. Learning a semi-analytic reconstruction method for photoacoustic computed tomography with hemispherical measurement geometries;Photons Plus Ultrasound: Imaging and Sensing 2024;2024-03-12

4. Investigation of a learned image reconstruction method for three-dimensional quantitative photoacoustic tomography of the breast;Photons Plus Ultrasound: Imaging and Sensing 2024;2024-03-12

5. Quantitative photoacoustic tomography: modeling and inverse problems;Journal of Biomedical Optics;2023-12-20

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