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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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Updated: May 22, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Partial-data interpolation method for arc handling in a computed tomography scanner.

Jaisingh Rajwade¹, Lester Miller, Dan Simon

¹Philips Healthcare, 595 Miner Road, Highland Heights, OH 44143, United States. jai482@gmail.com

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|May 9, 2012

Summary

This summary is machine-generated.

X-ray tube arcing in computed tomography (CT) scanners degrades image quality. A new algorithm corrects for voltage errors during CT scanner arcs, enabling the use of previously discarded data for improved image quality.

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Area of Science:

Medical Imaging Physics
Radiological Engineering

Background:

X-ray tube arcing is a common artifact in computed tomography (CT) scanners.
Arc events lead to reduced X-ray tube voltage during data acquisition.
This results in suboptimal image quality and necessitates data discarding or interpolation.

Purpose of the Study:

To develop and evaluate an algorithm for correcting X-ray tube voltage variations during CT data acquisition.
To assess the impact of using voltage-corrected data on image quality compared to traditional interpolation methods.

Main Methods:

Development of a novel algorithm to estimate and correct for X-ray tube voltage deviations post-arcing.
Acquisition of CT data with simulated or actual X-ray tube arcing events.
Comparison of image quality metrics (e.g., noise, resolution) between images reconstructed with the new algorithm and those using standard interpolation.

Main Results:

The developed algorithm successfully corrects for improper X-ray tube voltage during the recovery phase after an arc.
Utilizing voltage-corrected data significantly improves image quality compared to conventional interpolation techniques.
The benefits are particularly pronounced in modern, high-speed CT scanners with shorter data sampling times.

Conclusions:

The proposed voltage correction algorithm effectively mitigates the negative impact of X-ray tube arcing on CT image quality.
This method allows for the utilization of previously discarded data, enhancing diagnostic information.
The technique offers a valuable solution for improving image fidelity in advanced CT imaging applications.