High Image Matrix CT Reconstruction

NCT02610465 | Completed

• 2 other identifiers: 16001916-H-0019
• Study Type: observational
• Target: 148
• Locations: 1 country
• Sites: 1

Brief Summary

Background: Computed Tomography (CT) scans make detailed pictures of the body in seconds. CT scans make pictures by passing x-rays through a person. CT scans are common. In 2011, around 85.3 million of them occurred in the United States. Researchers think CT images can be made better using new techniques. Higher resolution images can be derived from the original scan. Objective: To learn if new ways of obtaining and processing pictures of the body from a regular CT scan can produce images with higher resolution (pixels) and more information than standard methods. Eligibility: People ages 18 and older who are scheduled to have a CT scan and are not pregnant Design: Participants will be screened with a review of their medical records. Participants will have their scheduled CT scan. The CT scanner used in this study provides enhanced images of inside the body. Researchers may use the CT scanner in a research mode to test and improve the pictures. Images from the CT scan will be reviewed. Any clinical findings from the CT test will be shared with the participant s doctor. Participants will continue to receive their medical care from their regular doctor. The CT images will be entered into an NIH research database. In the future, they may be used for research purposes.

Conditions

Cardiac-Related Conditions; Pulmonary-Related Conditions; Healthy Subjects

Keywords

Computed Tomography; Image Reconstruction; Iterative Reconstruction; Natural History

Outcome Measures

Primary Outcomes (1)

• Compare with respect to 7 image quality metrics the overall image quality from a higher resolution CT with traditional clinical standard CT from the same acquisition

  The primary analysis will compare the overall image quality across the 7 Likert scales between the clinical standard and the high resolution images. For each of the two readers, we will sum each subject s 7 Likert scores for the standard and high resolution images, respectively. Then we will average the two readers standard image cumulative scores, respectively, the two readers high resolution image cumulative scores. Thus for each subject, both the standard and high resolution images will have an average cumulative score between 7 and 34. For each subject, we will compute the difference between the standard image and high resolution image average cumulative scores. The primary analysis will report the mean and its 95% confidence interval for the standard image high resolution image difference. We will also report the median and 5th-95th percentiles of the differences.

  05/13/2016

Study Arms (1)

1

Computed Tomography (CT) images

Eligibility Criteria

• Age: 18 Years - 99 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Participants will be enrolled at the NIH Clinical CenterUp to 500 subjects will be enrolled. Subjects will be recruited from the NIH Clinical Center radiology department from subjects scheduled to have a CT scan

You may qualify if:

• Clinical indication for CT
• Age equal to or greater than 18 years
• Able to understand and willing to sign the Informed Consent Form

You may not qualify if:

• Pregnancy

Sponsors & Collaborators

• National Heart, Lung, and Blood Institute (NHLBI): lead

Study Sites (1)

National Institutes of Health Clinical Center

Bethesda, Maryland, 20892, United States

Location

Related Links

• NIH Clinical Center Detailed Web Page

Study Officials

• Marcus Y Chen, M.D.

  National Heart, Lung, and Blood Institute (NHLBI)

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: NIH
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 19, 2015
• First Posted: November 20, 2015
• Study Start: November 9, 2015
• Primary Completion: March 27, 2020
• Study Completion: March 27, 2020
• Last Updated: March 24, 2026

Record last verified: 2026-02-19

Locations

US (1)