Lung Diseases
Conditions
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.
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.
Sponsors
Study design
Eligibility
Inclusion criteria
1\. 18 years of age and older 2. No medical or psychiatric condition precluding informed consent \-
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
United States