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

This study has been completed.
Sponsor:
ClinicalTrials.gov Identifier:
NCT01979991
First Posted: November 8, 2013
Last Update Posted: February 5, 2016
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Collaborators:
National Institutes of Health (NIH)
General Electric
Information provided by (Responsible Party):
Jeffrey Fessler PhD., University of Michigan
  Purpose
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 Intervention Phase
Lung Diseases Procedure: CT Imaging and Reconstruction Phase 1

Study Type: Interventional
Study Design: 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

Resource links provided by NLM:


Further study details as provided by Jeffrey Fessler PhD., University of Michigan:

Primary Outcome Measures:
  • 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.



Enrollment: 184
Study Start Date: August 2010
Study Completion Date: December 2015
Primary Completion Date: March 2015 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
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.


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.
  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Senior)
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
  Contacts and Locations
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
  More Information

Responsible Party: Jeffrey Fessler PhD., Principal Investigator, University of Michigan
ClinicalTrials.gov Identifier: NCT01979991     History of Changes
Other Study ID Numbers: HUM00038447
First Submitted: November 1, 2013
First Posted: November 8, 2013
Last Update Posted: February 5, 2016
Last Verified: February 2016

Additional relevant MeSH terms:
Lung Diseases
Respiratory Tract Diseases