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Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Related Experiment Video

Updated: Jun 4, 2026

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using

Subok Park¹, Robert Jennings, Haimo Liu

¹Division of Imaging Applied Mathematics, OSEL/CDRH/FDA, Silver Spring, Maryland 20993, USA. subok.park@fda.hhs.gov

Medical Physics

|February 10, 2011

Summary

This summary is machine-generated.

Developing a new statistical framework for evaluating 3D x-ray breast imaging systems, like digital breast tomosynthesis (DBT), is crucial. Incorporating background variability improves accuracy in assessing system performance and optimizing imaging parameters for better cancer detection.

Failed At:

2026-06-19T13:43:08.444685+00:00

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