Prospective study evaluates deep learning techniques improving CTA quality with reduced iodine and low radiation in healthy volunteers, suggesting enhanced imaging safety.
Objective: To evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained with reduced iodine and low radiation at 70 kVp and the effect of deep learning-based augmented contrast enhancement (DL-ACE) and denoising (DL-DN) algorithms on the CTA quality. Materials and Methods:In this prospective study, 47 healthy volunteers (male:female, 31:16; mean age standard deviation, 57.8 10.9 years) were randomly assigned to one of three CTA protocols: Group A (n = 16; 100 kVp, 40 mL of 350 mgI/mL), Group B (n = 16; 70 kVp, 40 mL of 270 mgI/mL), and Group C (n = 15; 70 kVp, 28 mL of 270 mgI/mL [ultralow iodine]), with an injection rate of 2.5 mL/s for all.Images were reconstructed using filtered back projection (FBP), and images in Groups B and C were additionally reconstructed using DL-ACE and DL-DN.Arterial attenuation, image noise, contrast-to-noise ratio (CNR), and subjective image quality were compared among five image sets.Results: Compared with Group A, Groups B and C received 23.7% lower radiation doses.With FBP, arterial attenuation was significantly higher in Groups B (435.8 50.2 Hounsfield units [HU]) and C (391.8 52.1 HU) than in Group A (321.1 47.4 HU) (P < 0.001), while CNR did not differ significantly (Group A, 19.9 4.7; Group B, 20.3 3.8; and Group C, 18.4 4.6) due to higher image noise in Groups B and C.After applying DL-ACE and DL-DN in Groups B and C, arterial attenuation increased by 45.4% and image noise decreased by 34.5%, resulting in significantly higher arterial attenuation, CNR, and subjective image quality compared with Group A (P < 0.001).Conclusion: Cerebral CTA at 70-kVp using ultralow iodine enhanced arterial attenuation but increased image noise compared with the 100-kVp CTA protocol.DL-ACE and DL-DN significantly increased arterial attenuation and reduced image noise, resulting in higher CNR and better subjective image quality.
No takes yet. Share an insight, caveat, or question.
Song et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: