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

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ClinicalTrials.gov Identifier: NCT01979991
Recruitment Status : Completed
First Posted : November 8, 2013
Last Update Posted : February 5, 2016
Sponsor:
Collaborators:
National Institutes of Health (NIH)
General Electric
Information provided by (Responsible Party):
Jeffrey Fessler PhD., 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.

Condition or disease Intervention/treatment Phase
Lung Diseases Procedure: CT Imaging and Reconstruction Phase 1

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 Type : Interventional  (Clinical Trial)
Actual Enrollment : 184 participants
Intervention Model: Single Group Assignment
Masking: Single (Investigator)
Primary Purpose: Basic Science
Official Title: Model-Based Image Reconstruction for X-Ray CT in Lung Imaging
Study Start Date : August 2010
Actual Primary Completion Date : March 2015
Actual Study Completion Date : December 2015

Resource links provided by the National Library of Medicine

Drug Information available for: X-Rays

Arm Intervention/treatment
Experimental: 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.
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.





Primary Outcome Measures :
  1. 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.




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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria

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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01979991


Locations
United States, Michigan
University of Michigan Hospital
Ann Arbor, Michigan, United States, 48109
Sponsors and Collaborators
University of Michigan
National Institutes of Health (NIH)
General Electric
Investigators
Principal Investigator: Jeffrey Fessler, PhD University of Michigan Hospital
Principal Investigator: Jeffrey Fessler, PhD University of Michigan

Responsible Party: Jeffrey Fessler PhD., Principal Investigator, University of Michigan
ClinicalTrials.gov Identifier: NCT01979991     History of Changes
Other Study ID Numbers: HUM00038447
First Posted: November 8, 2013    Key Record Dates
Last Update Posted: February 5, 2016
Last Verified: February 2016

Additional relevant MeSH terms:
Lung Diseases
Respiratory Tract Diseases