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

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.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Lung Diseases Respiratory Tract Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Phase 1

Primary location

University of Michigan Hospital

Ann Arbor, Michigan, 48109, United States

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Treatment and study plan

CT Imaging and Reconstruction

Procedure

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.

Primary outcomes

Developement of a computer program to improve CT image quality

Time frame: 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.

Sponsors and collaborators

Lead sponsor

University of Michigan

Other

Collaborators

General Electric
National Institutes of Health (NIH)

Registry information

Important dates

Study start: 2010
Primary completion: 2015
Study completion: 2015
First posted: Nov 8, 2013
Registry last updated: Feb 5, 2016

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed