NCT01979991

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

• Status: Completed
• Phase: Phase 1
• Study type: Interventional
• Enrollment: 184 (actual)
• Sponsor: University of Michigan · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Lung Diseases

Interventions

Type	Name	Description
PROCEDURE	CT Imaging and Reconstruction	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.

Timeline

• Start date: 2010-08-01
• Primary completion: 2015-03-01
• Completion: 2015-12-01
• First posted: 2013-11-08
• Last updated: 2016-02-05

Locations

1 site across 1 country: United States