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Related Experiment Video

Updated: May 25, 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

Dose uniformity analysis among ten 16-slice same-model CT scanners.

Yusuf Emre Erdi¹

¹Diagnostic X-Ray Quality Assurance Section, Department of Medical Physics, Memorial Sloan-Kettering Cancer Center (MSKCC), New York, NY 10065, USA. erdiy@mskcc.org

Journal of Computer Assisted Tomography

|January 21, 2012

Summary

Computed tomographic (CT) dose optimization is crucial. This study found up to 9.4% variation in CT dose index (CTDIvol) among identical CT scanners, highlighting the need for consistent quality control in medical imaging.

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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

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Last Updated: May 25, 2026

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

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

Medical Physics
Radiological Imaging Technology

Background:

Multislice computed tomographic (CT) scanners necessitate dose optimization.
Patient-absorbed radiation dose can vary even between identical CT scanner models.
Investigating dose output consistency is vital for accurate CT imaging.

Purpose of the Study:

To analyze the dose output variation of 10 same-model CT scanners.
To assess dose variations across three standard clinical protocols: adult head, high-resolution chest, and adult abdomen.

Main Methods:

Utilized 10 GE Lightspeed 16-slice CT scanners.
Employed PMMA head (16 cm) and body (32 cm) phantoms for dose measurements.
Calculated volume CT dose index (CTDIvol) using an ion chamber at central and peripheral locations.

Main Results:

Observed up to 9.4% variation in CTDIvol for the adult head protocol, the highest among tested protocols.
Measured CTDIvol values were generally lower than system-stored values.
Dose output variations are influenced by tube aging and intrinsic scanner fluctuations.

Conclusions:

Significant CTDIvol variation exists even among CT scanners of the same model and protocol.
This variability can be amplified in scans with higher milliampere-second values and complex multi-phase/multi-location protocols.
Ensuring consistent CT scanner performance is essential for patient safety and diagnostic accuracy.