Computed Tomography (CT) (2024)

Unlike a conventional x-ray—which uses a fixed x-ray tube—a CT scanner uses a motorized x-ray source that rotates around the circular opening of a donut-shaped structure called a gantry. During a CT scan, the patient lies on a bed that slowly moves through the gantry while the x-ray tube rotates around the patient, shooting narrow beams ofx-raysthrough the body. Instead of film, CT scanners use special digital x-ray detectors, which are located directly opposite the x-ray source. As the x-rays leave the patient, they are picked up by the detectors and transmitted to a computer.

Each time the x-ray source completes one full rotation, the CT computer uses sophisticated mathematical techniques to construct a two-dimensional image slice of the patient. The thickness of the tissue represented in each image slice can vary depending on the CT machine used, but usually ranges from 1-10 millimeters. When a full slice is completed, the image is stored and the motorized bed is moved forward incrementally into the gantry. The x-ray scanning process is then repeated to produce another image slice. This process continues until the desired number of slices is collected.

Image slices can either be displayed individually or stacked together by the computer to generate a 3D image of the patient that shows the skeleton, organs, and tissues as well as any abnormalities the physician is trying to identify. This method has many advantages including the ability to rotate the 3D image in space or to view slices in succession, making it easier to find the exact place where a problem may be located.

As with allx-rays, dense structures within the body—such as bone—are easily imaged, whereas soft tissues vary in their ability to stop x-rays and therefore may be faint or difficult to see. For this reason, contrast agents have been developed that are highly visible in an x-ray or CT scan and are safe to use in patients. Contrast agents contain substances that can stop x-rays and are therefore more visible on an x-ray image. For example, to examine the circulatory system, an intravenous (IV)contrast agentbased on iodine is injected into the bloodstream to help illuminate blood vessels. This type of test is used to look for possible obstructions in blood vessels, including those in the heart. Oral contrast agents, such as barium-based compounds, are used for imaging the digestive system, including the esophagus, stomach, and gastrointestinal (GI) tract.

CT scans can diagnose possibly life-threatening conditions such as hemorrhage, blood clots, or cancer. An early diagnosis of these conditions could potentially be lifesaving. However, CT scans usex-rays, and all x-rays produce ionizingradiation.Ionizing radiationhas the potential to cause biological effects in living tissue. This is a risk that increases with the number of exposures added up over the life of an individual. However, the risk of developing cancer from x-ray radiation exposure is generally small.

A CT scan in a pregnant woman poses no known risks to the baby if the area of the body being imaged isn’t the abdomen or pelvis. In general, if imaging of the abdomen and pelvis is needed, doctors prefer to use exams that do not use radiation, such as magnetic resonance imaging (MRI) orultrasound. However, if neither of those can provide the answers needed, or there is an emergency or other time constraint, CT may be an acceptable alternative imaging option.

In some patients, contrast agents may cause allergic reactions, or in rare cases, temporary kidney failure. IV contrast agents should not be administered to patients with abnormal kidney function since they may induce a further reduction of kidney function, which may sometimes become permanent.

Because children are more sensitive to ionizing radiation and have a longer life expectancy, they have a higher relative risk for developing cancer from such radiation compared with adults. Parents may want to ask the technologist or doctor if their machine settings have been adjusted for children.

Imaging for acute ischemic stroke: Stroke, which can have lasting neurological injuries, is also a leading cause of death worldwide. To mitigate damage to the brain, patients may receive endovascular treatment, where the clot blocking the blood supply is either removed or dissolved. However, identifying patients who will benefit from endovascular therapy, such as those with only a small volume of irreversibly injured brain tissue, remains challenging, and time is a critically important factor for a successful clinical outcome.

NIBIB-funded researchers have developed an image reconstruction technique to more efficiently triage patients who present with symptoms of a stroke. This CT-based method can be used to rule out the presence of a hemorrhage; to find the site of the blood clot; and to identify the extent of damaged brain tissue. Such a technique could significantly shorten the time from the diagnosis of a stroke to the start of endovascular therapy, and could also guide the endovascular treatment. Following evaluation in animal models, researchers plan to validate this CT imaging technique in human studies.

Accounting for metal implants in CT imaging: Metal objects, such as implants and prostheses, can introduce ‘artifacts’ that may appear as streaks or shadows on a CT scan. These artifacts can obscure anatomical structures or affect calculations necessary for planning radiation therapy. While techniques exist to reduce such artifacts, they do not fully mitigate the artifacts and may even introduce new ones. In this project, NIBIB-funded researchers have developed an algorithm to reduce metal artifacts in CT imaging, without requiring knowledge of the implant material. The researchers plan to optimize their algorithm and then evaluate their technique as a potential method to improve radiation therapy planning for prostate cancer among those with hip protheses.

Leveraging CT images to guide treatments for COVID-19 and beyond: Artificial intelligence is increasingly being used with medical imaging, such as CT, to help improve diagnoses and guide treatment decisions. By using medical images and patient outcomes, clinicians can “train” machine learning-based technologies to recognize patterns and predict responses. During the COVID-19 pandemic, NIBIB created a collaborative imaginginitiative called the Medical ImagingandData Resource Center(MIDRC). This initiative collected and analyzed thousands of CT images from patients with COVID-19 for the development of artificial intelligence and machine learning tools to guide the treatment and monitoring of the disease. These datasets contribute to the development of algorithms for detection, prognosis, and optimization of therapy in acute COVID-19 patients and have the potential to contribute to the understanding of Post-Acute Sequelae of SARS-CoV-2 infection (PASC, otherwise known as “Long COVID”). Further, this initiative paves the way for new tools that leverage imaging for other medical conditions, such as cancer, liver disease, or other infectious diseases, among others.

For more information about CT, watch our video here.

Updated June 2022