Computational Imaging Research Based on Deep Learning

• Conditions: Arterial Aneurysm

• Registration Number: NCT05471869
• Lead Sponsor: Chinese PLA General Hospital

Brief Summary

Computational imaging research based on deep learning

Detailed Description

Based on the current technical challenges, subject development and upgrade of knowledge, to avoid the occurrence of adverse medical accidents, simplify the diagnostic process, artificial intelligence has become the alternative method of choice, by constructing training deep learning model, the CTA as model inputs aneurysm detection and diagnosis to improve diagnosis effectiveness, promote the development of medical technology

Study Timeline

• Study Start: 2021-11-01
• Status Verified: 2022-07
• Study First Submitted: 2022-07-21
• Study First Submitted QC: 2022-07-21
• Last Update Submitted: 2022-07-21
• Study First Posted: 2022-07-25
• Last Update Posted: 2022-07-25
• Primary Completion: 2022-07-30
• Study Completion: 2022-08-15

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1200

Inclusion Criteria

1. Age: 18-80 years.
2. CT paired imaging data of vessels, including layer-to-layer plain CT and enhanced CT. 2 Time range: January 2010 to December 2021.
3. Scanning sites: CT and CTA of head, neck, chest, abdomen or iliac.

Exclusion Criteria

1. Unpaired CT image .
2. Severe artifact CT image.
3. enhancement CT failure image (failure to capture arterial phase or poor arterial development, insufficient flow of contrast agent, etc.)

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Objective evaluation	30 minutes	using SSIM\\MAE index evaluation

Trial Locations

Locations (1)

Chinese PLA General Hospital; 🇨🇳 Beijing, China