Deep Learning Reconstruction Algorithms in Dual Low-dose CTA

Launched by HAO TANG · Apr 16, 2024

Keywords

ClinConnect Summary

This clinical trial is studying a new method called deep learning image reconstruction to see how it can improve the quality of images from a special type of scan known as double low-dose CTA (computed tomography angiography). The main goal is to determine if this advanced technology can help doctors get clearer images while using less radiation, which is safer for patients.

To participate in the study, individuals should be between the ages of 65 and 74 and have certain medical conditions, such as issues related to the head, neck, heart, or abdomen. However, people who are under 18, pregnant, have an allergy to iodine, kidney problems, or severe thyroid issues cannot join. If eligible, participants can expect to undergo the CTA scan with the new deep learning technique, contributing to research that may lead to better imaging methods in the future. This study is currently looking for volunteers to help with this important evaluation.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients with head and neck CTA, coronary artery CTA, and abdominal CTA due to stroke, coronary heart disease and abdominal inflammatory disease, and abdominal tumors.
• Exclusion Criteria:
• • Age \<18 years, pregnancy, allergic reaction to iodine contrast agent, renal insufficiency, and severe hyperthyroidism.