SegmentationNCT06646679
Intelligent Segmentation Algorithm of Ultrasonic Image
An observational study of Segmentation, run by Tongji Hospital at 1 site in China.
Trial summary
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. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Segmentation
- What is being tested?
- Ultrasonic imaging
- How many people
- 5,000 participants
- Where
- 1 siteChina
- Study dates
- 14 Oct 2024to 14 Nov 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: Any patient undergoing an ultrasound scan, including volunteers.
Who may be able to join
- None.
Who cannot join
- None.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
Tianzhu Liu
Wuhan, Hubei, 430000
Tianzhu Liu, M.D., 13098866448, liutzh@126.com
Mei Wei, M.D., 15802777505, wmei@hust.edu.cn
About this study
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.
Read the detailed description
- Algorithm development: Develop high-performance intelligent ultrasonic image recognition and segmentation algorithms;
- Data set: Establish ultrasound image data set, which is convenient for researchers to develop and verify algorithms;
- Apply for patents, publish academic papers, promote and popularize technology.
- Conditions
- Segmentation
- Being tested
- Ultrasonic imaging
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Ultrasonic imagingOther
Ultrasonic imaging
What is being measured
The primary outcome is the main question the study is designed to answer.
Ultrasonic image
Ultrasound images obtained by ultrasound scan
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Oct 2024
- Study start14 Oct 2024
- Primary completion2 Nov 2026 (estimated)
- Study completion14 Nov 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for SegmentationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 5,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tongji Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Tianzhu Liu, Tongji Hospital
- Investigators
- Mei Wei, M.D., Principal investigator, Tongji Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06646679
- Sponsor's protocol ID
- Tongji Hospital102114-4
- Status last verified
- Nov 2024
- First submitted
- 15 Oct 2024
- Last updated
- 5 Nov 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Contact the researcher if necessary after the study is completed.
Study at a glance
From the registry record, last updated by the sponsor on 5 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Intelligent Segmentation Algorithm of Ultrasonic Image
- ClinicalTrials.gov ID
- NCT06646679
- Acronym / sponsor ID
- Tongji Hospital102114-4
- Conditions
- Segmentation
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 5,000 participants (estimated)
- Lead sponsor
- Tongji HospitalUniversity, hospital or other
- Study start
- 14 Oct 2024 (actual)
- Primary completion
- 2 Nov 2026 (estimated)
- Study completion
- 14 Nov 2026 (estimated)
- First posted
- 17 Oct 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
- Algorithm development: Develop high-performance intelligent ultrasonic image recognition and segmentation algorithms;
- Data set: Establish ultrasound image data set, which is convenient for researchers to develop and verify algorithms;
- Apply for patents, publish academic papers, promote and popularize technology.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Any patient undergoing an ultrasound scan, including volunteers.
Key inclusion criteria (1 listed)
- None.
Key exclusion criteria (1 listed)
- None.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Ultrasonic imagingUltrasonic imaging | Other | – |
Primary outcome
Ultrasonic image
Time frame: 2 years
Ultrasound images obtained by ultrasound scan
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Nov 2024.
- Individual participant dataSharing planned: No. Contact the researcher if necessary after the study is completed.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Mei Wei, M.D. principal investigator
Tongji Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Segmentation, run by Tongji Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 5 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Liu Tianzhu, M.D. (13098866448, liutzh@126.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Ultrasonic image (time frame: 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Nov 2024.