Deep 3D reconstruction of synchrotron X-ray computed tomography for intact lungs
Abstract Synchrotron X-rays can be used to obtain highly detailed images of parts of the lung. However, micro-motion artifacts induced by such as cardiac motion impede quantitative visualization of the alveoli in the lungs. This paper proposes a method that applies a neural network for synchrotron X...
Main Authors: | Seungjoo Shin, Min Woo Kim, Kyong Hwan Jin, Kwang Moo Yi, Yoshiki Kohmura, Tetsuya Ishikawa, Jung Ho Je, Jaesik Park |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-27627-y |
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