Automated carotid artery atherosclerotic inflammation segmentation in PET using MSR-Net
Objective. To develop an automated method for segmentation and uptake quantification of carotid atherosclerotic inflammation on 64Cu-CANF-comb PET while accounting for partial-volume and tissue-fraction effects. Approach. Synthetic carotid PET images with known fractional-volume ground truth were generated by combining MR-derived high-resolution activity maps with GATE Monte Carlo simulation incorporating major PET physical processes and matched to the Biograph mMR acquisition and reconstruction. A two-stage network first localized the carotid vessel wall from T1-weighted MR and then estimated voxel-wise inflammation fraction from masked PET. Both stages used a multiscale residual (MSR) c...
| Authors | Ran Li, Abhinav K. Jha, Jie Zheng et al. |
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| Primary category | physics.med-ph |
| Published | 11 October 2026 |
| Last updated at source | 11 October 2026 |
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