RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction
The use of CT imaging is important for screening, diagnosis, therapy planning, and prognosis of lung cancers. Unfortunately, due to differences in imaging protocols and scanner models, CT images acquired by different means may show large differences in noise statistics, contrast, and texture. In this study, we develop a novel conditional MeanFlow pipeline for CT image reconstruction. We introduce a conditional MeanFlow network that models the reconstruction trajectory by predicting image-conditioned flow fields given intermediate image states. The image reconstruction network is trained with a MeanFlow consistency loss along with the image reconstruction loss. In order to provide a spatia...
| Authors | Md Shifatul Ahsan Apurba, Md Selim, Jin Chen |
|---|---|
| Primary category | cs.CV |
| Published | 28 April 2026 |
| Last updated at source | 25 August 2026 |
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