Proceedings on Automation in Medical Engineering
Vol. 2 No. 1 (2023): Proc AUTOMED

Miscellaneous, ID 767

Determining an image noise defining parameter in clinical CT studies. A feasibility study.

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Alexander Neißner (Institut für Medizinische Physik und Strahlenschutz, Technische Hochschule Mittelhessen), Ulf Mäder (Institut für Medizinische Physik und Strahlenschutz, Technische Hochschule Mittelhessen), Martin Fiebich (Institut für Medizinische Physik und Strahlenschutz, Technische Hochschule Mittelhessen)

Abstract

An important aim of research in the field of image quality assessment in clinical CT is the drive to eliminate time and cost inefficient human observers or the dependence on technical phantoms. Current methods cannot provide to these needs. However, we provide a form of measurement of image noise that is independent of either, can be applied on clinical CT studies containing anatomical structures and is proportional to common forms of measurement. Experimental results indicate good reproducibility, excellent correlation with image noise and acquisition dose and potential for further development towards automatic application.

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