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

Study Overview
=================
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.

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

Conditions
-----------------
Lung Diseases

Intervention / Treatment
-----------------
* Procedure: CT Imaging and Reconstruction


Participation Criteria
=================
Eligibility Criteria
-----------------
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

Ages Eligible for Study
-----------------
Minimum Age: 18 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
No

Study Plan
=================
How is the study designed?
-----------------

Design Details

Primary Purpose: Basic Science
Intervention Model: Single Group Assignment
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: CT Imaging and Reconstruction<br>To develop a MBIR (model-based image reconstruction) method that will improve X-ray CT lung imaging by improving image quality and reducing dose. | Procedure: CT Imaging and Reconstruction<br>* 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.<br>|

What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 |