Model-Based Image Reconstruction for X-Ray CT in Lung Imaging

Phase 1

Completed

• Conditions: Lung Diseases
• Interventions: Procedure: CT Imaging and Reconstruction

• Registration Number: NCT01979991
• Lead Sponsor: University of Michigan

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.

Detailed Description

We will be asking patients for their permission to save and use the sinogram from their CT scan. The sinogram will be de-identified and sent to an archive system for storage. It will be exported to a computer for processing using MBIR (model based iterative reconstruction). MBIR (model based iterative reconstruction) is a new method being developed to process CT sinograms. The newly reconstructed images will be reviewed by experts to determine if they are as readable and accurate as CT images created with the software that is currently being used. Sinogram data and the reconstructed images will be shared with collaborating researchers at General Electric Global Research.

Study Timeline

• Study Start: 2010-08
• Study First Submitted: 2013-11-01
• Study First Submitted QC: 2013-11-01
• Study First Posted: 2013-11-08
• Primary Completion: 2015-03
• Study Completion: 2015-12
• Status Verified: 2016-02
• Last Update Submitted: 2016-02-03
• Last Update Posted: 2016-02-05

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 184

Inclusion Criteria

1. 18 years of age and older 2. No medical or psychiatric condition precluding informed consent

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Exclusion Criteria

1. Inability to lie flat on the back with arms raised over the head for 30min.
2. Metallic implants or metallic devices in the chest or back.
3. Participation in other research trials involving ionizing radiation

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Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
CT Imaging and Reconstruction	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.

Primary Outcome Measures

Name	Time	Method
Developement of a computer program to improve CT image quality	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.

Trial Locations

Locations (1)

University of Michigan Hospital; 🇺🇸 Ann Arbor, Michigan, United States