High Image Matrix CT Reconstruction

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.

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Key information

Conditions

Healthy Subjects Cardiac-Related Conditions Pulmonary-Related Conditions

Age range

18 year–99 year

Sex eligibility

All sexes

Study type

Observational

Primary location

National Institutes of Health Clinical Center

Bethesda, Maryland, 20892, United States

About this study

Computed Tomography (CT) images the body. Different methods of creating CT pictures are avilable on a research basis that enables higher resolution imaging using the same aquisition. The purpose of this research study is to learn wheteher these new high resolution images derived from the original CT scan provide similar or perhaps more information than the current standard clinical method.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Exclusion criteria

-Pregnancy

Treatment and study plan

Primary outcomes

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

Time frame: 05/13/2016

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.

Sponsors and collaborators

Lead sponsor

National Heart, Lung, and Blood Institute (NHLBI)

Nih

Registry information

Important dates

Study start: 2015
Primary completion: 2020
Study completion: 2020
First posted: Nov 20, 2015
Registry last updated: Jul 16, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed