Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera
NCT ID: NCT06782438
Last Updated: 2025-03-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
20 participants
OBSERVATIONAL
2025-02-27
2025-03-30
Brief Summary
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Many studies have reported the possibility of reducing the recording time in bone scintigraphy by applying artificial intelligence algorithms reducing noise
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Detailed Description
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The hypothesis of our study conducted on phantom and patients is that an artificial intelligence algorithm reducing noise could replace the conventional filters usually used in bone SPECT for the denoising of scintigraphic images.
Conditions
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Study Design
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OTHER
RETROSPECTIVE
Interventions
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artificial intelligence algorithm
to apply an artificial intelligence algorithm to treat the imaging
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
99 Years
ALL
No
Sponsors
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Central Hospital, Nancy, France
OTHER
Responsible Party
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Achraf BAHLOUL
Principal investigator
Locations
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Nuclear Medicine Department
Vandœuvre-lès-Nancy, , France
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2024PI241
Identifier Type: -
Identifier Source: org_study_id
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