Deep Learning Reconstruction Algorithms in Dual Low-dose CTA

Status Recruiting

Clinical Trial Summary

The goal of this observational study is to evaluate the impact of deep learning image reconstruction on the image quality and diagnostic performance of double low-dose CTA. The main question it aims to answer is to explore the feasibility of deep learning image reconstruction in double low-dose CTA.

Clinical Trial Description

1. The raw data from patients who underwent head and neck CTA, coronary CTA, and abdominal CTA in both standard dose and double low-dose groups were included. 2. Techniques such as filtered back projection, iterative reconstruction, and deep learning reconstruction were performed. 3. The feasibility of deep learning reconstruction in double low-dose CTA was evaluated based on image quality and diagnostic performance. ;

Study Design

Related Conditions & MeSH terms

Deep Learning

Clinical Trial Details

NCT number	NCT06372756
Study type	Observational
Source	Tongji Hospital
Contact	Youfa M Tang, Doctor
Phone	8613554101223
Email	1525573397@qq.com
Status	Recruiting
Phase
Start date	June 1, 2023
Completion date	March 2026

View Details

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