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

NCT01979991 · Status: COMPLETED · Phase: PHASE1 · Type: INTERVENTIONAL · Enrollment: 184

Last updated 2016-02-05

No results posted yet for this study

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.

Conditions

  • Lung Diseases

Interventions

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.

Sponsors & Collaborators

  • National Institutes of Health (NIH)

    collaborator NIH

  • General Electric

    collaborator INDUSTRY

  • University of Michigan

    lead OTHER

Principal Investigators

  • Jeffrey Fessler, PhD · University of Michigan Hospital

  • Jeffrey Fessler, PhD · University of Michigan

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
SINGLE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2010-08-31
Primary Completion
2015-03-31
Completion
2015-12-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01979991 on ClinicalTrials.gov