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MFDRNet: A Self-Supervised Framework for Sparse-View XACT Image Reconstruction via Multi-View Fusion and Artifact Disentanglement

2025-10-08

Abstract excerpt

<title>Abstract</title> <p><bold>Background and Purpose:</bold> X-ray-induced Acoustic Computed Tomography (XACT) holds significant promise for real-time radiotherapy dose verification by leveraging the linear relationship between acoustic pressure and deposited radiation dose. However, clinical implementation faces significant challenges from highly sparse data acquisition, constrained by equipment cost, patient...

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Literature Corpus work
bb997a8d-b7ab-50a0-97ab-fc2685db9b31
DOI
10.21203/rs.3.rs-7475702/v1
Open publication

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MFDRNet: A Self-Supervised Framework for Sparse-View XACT Image Reconstruction via Multi-View Fusion and Artifact DisentanglementDOI 10.21203/rs.3.rs-7475702/v1
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