Background: Doctors use computed tomography (CT) to get detailed pictures of the heart. CT uses x-rays to gather raw data. Computers assemble this data to make the images doctors look at. A new computer technique can make higher resolution images from the same CT scans. In this natural history study, researchers will take normal CT images of the heart. They will compare those images to super high-resolution (super high-res) images made with a super-computer. Objective: To improve the quality of heart CT scans by using new methods to create the images. Eligibility: People aged 18 years or older who need a CT scan for heart disease. Design: Participants will have a normal CT scan. A substance will be injected through a tube in their arm. They will lie on a table in a large, donut-shaped machine. An X-ray tube will move around their body, taking many pictures. Researchers will use the normal CT scans to create super high-res images. They may do this at the NIH. They may also send the images to the company that made the CT scanner. Participants personal information will be removed before images are sent to the company. The personal information will be replaced by a code. The super high-res images will be returned to the NIH. Some information will be collected from participants medical records. Researchers will compare the normal scans to the super high-res images. Participants' own doctors will also have a chance to see the super high-res images. Participants' CT pictures will be stored and used for future NIH research.
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The objective of this research protocol is to determine whether advanced mathematical image reconstructions create superior images compared with standard cardiac CT image reconstruction in patients with structural heart disease.
Timeframe: 5 years