Model-Based Image Reconstruction for X-Ray CT in Lung Imaging
1 other identifier
interventional
184
1 country
1
Brief Summary
To develop a computer program that will improve CT image quality and decrease the amount of x-ray radiation that future patients may be exposed to when they have a CT examination.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for phase_1
Started Aug 2010
Longer than P75 for phase_1
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 1, 2010
CompletedFirst Submitted
Initial submission to the registry
November 1, 2013
CompletedFirst Posted
Study publicly available on registry
November 8, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2015
CompletedFebruary 5, 2016
February 1, 2016
4.6 years
November 1, 2013
February 3, 2016
Conditions
Outcome Measures
Primary Outcomes (1)
Developement of a computer program to improve CT image quality
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
Study Arms (1)
CT Imaging and Reconstruction
EXPERIMENTALTo develop a MBIR (model-based image reconstruction) method that will improve X-ray CT lung imaging by improving image quality and reducing dose.
Interventions
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.
Eligibility Criteria
You may qualify if:
- \. 18 years of age and older 2. No medical or psychiatric condition precluding informed consent
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Michiganlead
- National Institutes of Health (NIH)collaborator
- General Electriccollaborator
Study Sites (1)
University of Michigan Hospital
Ann Arbor, Michigan, 48109, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jeffrey Fessler, PhD
University of Michigan Hospital
- PRINCIPAL INVESTIGATOR
Jeffrey Fessler, PhD
University of Michigan
Study Design
- Study Type
- interventional
- Phase
- phase 1
- Allocation
- NA
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
November 1, 2013
First Posted
November 8, 2013
Study Start
August 1, 2010
Primary Completion
March 1, 2015
Study Completion
December 1, 2015
Last Updated
February 5, 2016
Record last verified: 2016-02