Improving ultrasonic image analysis with advanced algorithms
Official title: Intelligent Segmentation Algorithm of Ultrasonic Image
Run by Tongji Hospital · NCT06646679 · Data updated 2026-11-12
This study is testing new computer programs to see if they can make ultrasound images clearer and help doctors better identify important features in those images.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 5000 (estimated) |
| Sponsor | Tongji Hospital Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Status | Recruiting |
| Started | October 14, 2024 |
| Main results expected | November 2, 2026 |
| Study ends | November 14, 2026 |
| Registry record updated | November 5, 2024 |
| Trial ID | NCT06646679 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study include individuals undergoing ultrasonic imaging procedures.
✕Probably not a fit
Patients who do not require ultrasonic imaging or have contraindications for such procedures may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project focuses on enhancing ultrasonic image analysis by optimizing neural network algorithms and constructing extensive datasets for ultrasonic imagery. The study involves developing high-performance algorithms for image recognition and segmentation, which will be trained and evaluated using a data-driven approach. The results aim to facilitate accurate segmentation of regional block images and improve the identification of characteristic ultrasonic anatomy, ultimately advancing ultrasonic technology.
Why it matters
Potential benefit: If successful, this could lead to more accurate and efficient ultrasonic imaging techniques for patients.
How similar studies have gone: Other studies have shown success in improving imaging techniques through algorithm optimization, indicating potential for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * None. Exclusion Criteria: * None.
Where it's running
-
Tianzhu Liu
Wuhan, Hubei, China Recruiting
Study contacts
- Principal investigator: Mei Wei, M.D. — Tongji Hospital
- Study coordinator: Liu Tianzhu, M.D.
- Email: liutzh@126.com
- Phone: 13098866448
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.