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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...

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

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...

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Related Experiment Video

Updated: Jun 25, 2026

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

High-throughput terahertz imaging: progress and challenges.

Xurong Li^1,2, Jingxi Li^1,2,3, Yuhang Li^1,2,3

¹Department of Electrical & Computer Engineering, University of California Los Angeles (UCLA), Los Angeles, CA, 90095, USA.

Light, Science & Applications

|September 15, 2023

Summary

This summary is machine-generated.

Advancements in terahertz imaging hardware and computational methods are overcoming slow scanning speeds. This enables faster terahertz imaging for applications like security screening and biomedical diagnosis.

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Last Updated: Jun 25, 2026

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

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Published on: December 27, 2012

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Published on: April 5, 2020

Area of Science:

Optics and Photonics
Imaging Science
Applied Physics

Background:

Terahertz (THz) imaging applications in non-destructive evaluation, biomedical diagnosis, and security screening have been limited by slow raster-scanning speeds.
Recent technological progress has significantly enhanced imaging throughput, moving THz imaging closer to practical, real-world deployment.

Purpose of the Study:

To review the evolution of terahertz imaging technologies, focusing on both hardware and computational imaging advancements.
To compare various hardware components and computational algorithms for high-throughput THz imaging.

Main Methods:

Exploration of different hardware for frequency-domain and time-domain terahertz imaging, including thermal, photon, and field sensor arrays.
Discussion of computational imaging algorithms enabling the capture of diverse image data (time-of-flight, spectroscopic, phase, intensity) at high speeds.

Main Results:

Identification of key hardware and computational imaging strategies that boost terahertz imaging throughput.
Comparison of different sensor technologies and data acquisition methods for terahertz imaging.

Conclusions:

High-throughput terahertz imaging systems are becoming feasible due to hardware and computational breakthroughs.
Future development of terahertz imaging systems faces prospects and challenges that will shape their widespread adoption.