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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

Updated: May 28, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

A decomposition-based CT reconstruction formulation for reducing blooming artifacts.

Synho Do¹, W Clem Karl, Zhuangli Liang

¹Department of Radiology, Massachusetts General Hospital, Boston, MA, USA. sdo@partners.org

Physics in Medicine and Biology

|October 26, 2011

Summary

This summary is machine-generated.

This study introduces a new cardiac computed tomography (CT) method to reduce calcium blooming artifacts. The novel technique improves the accuracy of coronary vessel assessment in CT imaging.

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Area of Science:

Medical Imaging
Radiology
Cardiovascular Imaging

Background:

Cardiac computed tomography (CT) is vital for coronary vessel assessment.
Calcium deposits in coronary arteries cause blooming artifacts, overestimating stenosis severity.
Existing methods struggle to accurately quantify luminal narrowing in the presence of calcifications.

Purpose of the Study:

To develop an advanced CT image reconstruction method to mitigate calcium blooming artifacts.
To improve the accuracy of coronary artery stenosis assessment using cardiac CT.
To reduce over-estimation of luminal narrowing caused by calcified plaque.

Main Methods:

A unified decomposition-based iterative reconstruction formulation was developed.
Differential penalty functions were applied to dense objects (calcium) and soft tissue.
The method was validated using simulations, phantoms, ex vivo, and in vivo studies.

Main Results:

Quantifiable reduction in calcium blooming artifacts was achieved.
The novel method avoided introducing new distortions in non-blooming regions.
Improved accuracy in assessing coronary luminal narrowing was demonstrated.

Conclusions:

The developed reconstruction technique effectively reduces blooming artifacts in cardiac CT.
This method offers a more accurate assessment of coronary artery disease.
The approach holds promise for enhancing diagnostic capabilities in cardiovascular imaging.