AI to Enhance Low Contrast CT Imaging


About this study

The purpose of this study is to generate an additional series (reconstruction) of the low contrast dose CT exam utilizing an AI model (general adversarial network (GAN)) to simulate high contrast on CT exams.


Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • ≥ 18 years of age.
  • Patients referred to interventional radiology for CT guided liver or kidney treatment.  

Exclusion Criteria:

  • Patients with contrast allergy.

Note: Other protocol defined Inclusion/Exclusion Criteria may apply.

Eligibility last updated 9/5/23. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Jacksonville, Fla.

Mayo Clinic principal investigator

Gregory Frey, M.D., M.P.H.

Open for enrollment

Contact information:

Katelin Ennis M.S.

(480) 342-5562

Scottsdale/Phoenix, Ariz.

Mayo Clinic principal investigator

Bhavik Patel, M.D., M.B.A.

Open for enrollment

Contact information:

Bhavik Patel M.D., M.B.A.

(480) 342-1651

More information


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