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

This study is ongoing, but not recruiting participants.
Sponsor:
Collaborators:
General Electric
Information provided by (Responsible Party):
Jeffrey Fessler PhD., University of Michigan
ClinicalTrials.gov Identifier:
NCT01979991
First received: November 1, 2013
Last updated: June 4, 2014
Last verified: June 2014
  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: Endpoint Classification: Efficacy Study
Intervention Model: Single Group Assignment
Masking: Single Blind (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 University of Michigan:

Primary Outcome Measures:
  • Developement of a computer program to improve CT image quality [ Time Frame: 6 years ] [ Designated as safety issue: Yes ]

    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.



Estimated Enrollment: 180
Study Start Date: August 2010
Estimated Study Completion Date: December 2016
Estimated Primary Completion Date: August 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

Ages Eligible for Study:   18 Years and older
Genders Eligible for Study:   Both
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
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its ClinicalTrials.gov identifier: NCT01979991

Locations
United States, Michigan
University of Michigan Hospital
Ann Arbor, Michigan, United States, 48109
Sponsors and Collaborators
University of Michigan
General Electric
Investigators
Principal Investigator: Jeffrey Fessler, PhD University of Michigan Hospital
Principal Investigator: Jeffrey Fessler, PhD University of Michigan
  More Information

No publications provided

Responsible Party: Jeffrey Fessler PhD., Principal Investigator, University of Michigan
ClinicalTrials.gov Identifier: NCT01979991     History of Changes
Other Study ID Numbers: HUM00038447
Study First Received: November 1, 2013
Last Updated: June 4, 2014
Health Authority: United States: Institutional Review Board

Additional relevant MeSH terms:
Lung Diseases
Respiratory Tract Diseases

ClinicalTrials.gov processed this record on July 22, 2014