Intelligent Segmentation Algorithm of Ultrasonic Image

This project aims to enhance the performance of ultrasonic image analysis by optimizing and refining neural network algorithms, while also collecting and constructing extensive datasets relevant to ultrasonic imagery. The algorithm will be trained and evaluated in a data-driven manner, with test results facilitating accurate segmentation of regional block images and identification of characteristic ultrasonic anatomy. This approach will significantly advance the study and development of ultrasonic technology.

Study Overview

• Status: Recruiting
• Conditions: Segmentation
• Intervention / Treatment: Other: Ultrasonic imaging

Detailed Description

1. Algorithm development: Develop high-performance intelligent ultrasonic image recognition and segmentation algorithms;
2. Data set: Establish ultrasound image data set, which is convenient for researchers to develop and verify algorithms;
3. Apply for patents, publish academic papers, promote and popularize technology.

• Study Type: Observational
• Enrollment (Estimated): 5000

Contacts and Locations

• Study Contact: Name: Liu Tianzhu, M.D.; Phone Number: 13098866448; Email: liutzh@126.com

Study Locations

• China
  • Hubei
    • Wuhan, Hubei, China, 430000
      • Recruiting
      • Tianzhu Liu
      • Contact: Tianzhu Liu, M.D.; Phone Number: 13098866448; Email: liutzh@126.com
      • Contact: Mei Wei, M.D.; Phone Number: 15802777505; Email: wmei@hust.edu.cn

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

Any patient undergoing an ultrasound scan, including volunteers.

Description

Inclusion Criteria:

• None.

Exclusion Criteria:

• None.

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Ultrasonic image	Ultrasound images obtained by ultrasound scan	2 years

Collaborators and Investigators

• Sponsor: Tongji Hospital
• Investigators: Principal Investigator: Mei Wei, M.D., Tongji Hospital

Study record dates

Study Major Dates

• Study Start (Actual): October 14, 2024
• Primary Completion (Estimated): November 2, 2026
• Study Completion (Estimated): November 14, 2026

Study Registration Dates

• First Submitted: October 15, 2024
• First Submitted That Met QC Criteria: October 15, 2024
• First Posted (Actual): October 17, 2024

Study Record Updates

• Last Update Posted (Estimated): November 5, 2024
• Last Update Submitted That Met QC Criteria: November 2, 2024
• Last Verified: November 1, 2024

More Information

Terms related to this study

• Other Study ID Numbers: Tongji Hospital102114-4

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO
• IPD Plan Description: Contact the researcher if necessary after the study is completed.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No