Cross-modal enhanced sparse CT imaging via null-space denoising diffusion with random medical measurement embedding

Cross-modal enhanced sparse CT imaging via null-space denoising diffusion with random medical measurement embedding

Recent advancements in diffusion models for sparse-view medical computed tomography (CT) have mitigated common issues in supervised deep learning, such as over-smoothing and limited generalization. However, these models often rely on lengthy sampling chains, leading to impractical computation times...

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Bibliographic Details
Main Authors: Xiaoyue Li, Kai Shang, Mark D. Butala, Gaoang Wang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Alexandria Engineering Journal
Subjects:
Sparse sampled medical imaging
Computed tomography
Generalization for clinical scenarios
Denoising diffusion probabilistic model
Null-space refinement
Cross-modal prior embedding
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682500506X
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