- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01979991
Model-Based Image Reconstruction for X-Ray CT in Lung Imaging
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Phase 1
Contacts and Locations
Study Locations
-
-
Michigan
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Ann Arbor, Michigan, United States, 48109
- University of Michigan Hospital
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
1. 18 years of age and older 2. No medical or psychiatric condition precluding informed consent
-
Exclusion Criteria:
- Inability to lie flat on the back with arms raised over the head for 30min.
- Metallic implants or metallic devices in the chest or back.
- Participation in other research trials involving ionizing radiation
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: CT Imaging and Reconstruction
To develop a MBIR (model-based image reconstruction) method that will improve X-ray CT lung imaging by improving image quality and reducing dose.
|
Patients will be consented for their permission to save and use the sinogram from their CT chest/lung scan. The sinogram will be de-identified and sent to an archive system for storage. Later it will be exported to a computer for processing using MBIR (model based image reconstruction). The newly processed images will then be read by blinded readers. The quality of the images will be reviewed to determine if they are as readable and accurate as CT images created with the software that is currently being used. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Developement of a computer program to improve CT image quality
Time Frame: 6 years
|
Sinograms will be retrieved by an archive system and processed by MBIR (model-based image reconstruction) methods that we are developing that improve image quality (reduce noise, improve spatial resolution, reduce artifacts). We will evaluate the image quality both quantitatively and qualitatively. We hope to develop and benchmark methods for algorithm acceleration to enable routine clinical use of MBIR (model-based image reconstruction) methods. |
6 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Jeffrey Fessler, PhD, University of Michigan Hospital
- Principal Investigator: Jeffrey Fessler, PhD, University of Michigan
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HUM00038447
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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