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Advancing the frontiers of deep learning for low-dose 3D cone-beam computed tomography (CT) reconstruction
Paper Details
Published: 2024/08/15
Pages: 81-82
DOI: 10.1109/ICASSPW62465.2024.10626185
Container Title: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
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HTMLImage reconstruction from the X-ray attenuation measurement in computed tomography (CT) can be formulated as an inverse problem for recovering a function in the 3D space from its line integrals. In this work the authors propose and evaluate a 3D CBCT reconstruction challenge for machine learning methods.
