CardiacAI / InformaticsResearch

Super-resolution network with confidence maps boosts non-contrast coronary MRA quality

Computer methods and programs in biomedicine3d ago

PABCNet super-resolves non-contrast coronary MRA, achieving a vessel ROI-PSNR of 32.68 dB (2.18 dB better than the second-best method) and providing pixel-wise confidence maps. Radiologists rated it superior in coronary clarity, cardiac structure depiction, and artifact suppress…

  • PABCNet is a super-resolution pipeline for non-contrast coronary MRA that incorporates inter-slice phase alignment and Bayesian confidence quantification.
  • In experiments, vessel-region ROI-PSNR was 32.68 dB, outperforming other methods by 2.18 dB, with a calibration error of 0.0234 for uncertainty maps.
  • Radiologists rated PABCNet superior to both comparative methods and original high-resolution scans in coronary clarity, cardiac structure depiction, and artifact suppression.

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