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Multiphase contrast-enhanced computed tomography (CECT) scan is clinicallysignificant to demonstrate the anatomy at different phases. In practice, such amultiphase CECT scan inherently takes longer time and deposits much moreradiation dose into a patient body than a regular CT scan, and reduction of theradiation dose typically compromise the CECT image quality and its diagnosticvalue. With Joint Condition and Circle-Supervision, here we propose a novelPoisson Flow Generative Model (JCCS-PFGM) to promote the progressive low-dosereconstruction for multiphase CECT. JCCS-PFGM is characterized by the followingthree aspects: a progressive low-dose reconstruction scheme, acircle-supervision strategy, and a joint condition mechanism. Our extensiveexperiments are performed on a clinical dataset consisting of 11436 images. Theresults show that our JCCS-PFGM achieves promising PSNR up to 46.3dB, SSIM upto 98.5%, and MAE down to 9.67 HU averagely on phases I, II and III, inquantitative evaluations, as well as gains high-quality readable visualizationsin qualitative assessments. All of these findings reveal our method a greatpotential to be adapted for clinical CECT scans at a much-reduced radiationdose.

JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative  Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint  Condition