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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...

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Related Experiment Video

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

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Published on: July 29, 2013

Spectral CT quantification stability and accuracy for pediatric patients: A phantom study.

Nadav Shapira¹, Kai Mei¹, Peter B Noël^1,2

¹Department of Radiology, University of Pennsylvania, Philadelphia, USA.

Journal of Applied Clinical Medical Physics

|January 11, 2021

Summary

Spectral CT accurately quantifies materials in pediatric patients, even with up to 90% radiation dose reduction and varying patient sizes. This stability is crucial for quantitative imaging at low radiation levels.

Keywords:

dual energy CT pediatric imagining quantitative imaging spectral CT

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Whole-body PET/MRI of Pediatric Patients: The Details That Matter

Whole-body PET/MRI of Pediatric Patients: The Details That Matter

Published on: December 19, 2017

Area of Science:

Medical Imaging
Radiology
Photon Counting CT

Background:

Spectral computed tomography (CT) enables quantitative analysis of materials in patients.
Applications in pediatrics include lesion characterization and tumor response assessment.

Purpose of the Study:

To assess the accuracy and stability of spectral CT material quantification.
Investigate performance across pediatric patient sizes and radiation doses.

Main Methods:

A spectral CT phantom simulating pediatric tissues and iodine concentrations was used.
Scans were performed at reduced radiation doses (10%-100%) and simulated patient sizes.
Quantifications of virtual mono-energetic images, iodine density, effective atomic number, and electron density were analyzed.

Main Results:

Virtual mono-energetic images improved attenuation measurement stability across patient sizes.
Iodine density, effective atomic number, and electron density were quantified accurately.
Material quantification remained stable with up to 90% radiation dose reduction.

Conclusions:

Spectral CT offers accurate and stable material quantification for pediatric imaging.
The technology supports quantitative imaging at reduced radiation exposure levels.