Multicentric characterization of organ-based tube current modulation in head computed tomography: A dosimetric and image quality study.

Phys Med

Alara Expertise, 7 Allée de l'Europe, 67960 Entzheim, France; Service de Radiologie, CHU Toulouse Rangueil, 1 Avenue du Professeur Jean Poulhes, 31400 Toulouse, France; Institut des maladies métaboliques et cardiovasculaires (I2MC) - UMR1297, Université de Toulouse, 1 Avenue Jean Poulhès, BP64225, 31432 Toulouse, France. Electronic address:

Published: June 2024

Purpose: To evaluate the efficiency of organ-based tube current modulation (OBTCM) in head Computed Tomography (CT) for different radiology departments and manufacturers.

Materials And Methods: Five CT scanners from four radiology departments were evaluated in this study. All scans were performed using a standard and a routine head protocol. A scintillating fiber optic detector was placed directly on the gantry to measure the tube exit kerma. Image quality was quantified on a 16-cm HEAD phantom by measuring the signal-to-noise ratio (SNR) and the standard deviation of the Hounsfield units (HU) of circular regions of interest placed in the phantom. The Noise Power Spectrum (NPS) was also studied. Measured values were compared on images with and without OBTCM.

Results: The reduction rates in tube exit kerma, on the anterior part, vary between 11 % and 74 % depending on the CT scanner and the protocol used. The tube exit kerma on the posterior part remains unchanged in GE and Canon CT scanners. On the contrary, the tube exit kerma to the posterior part increases by up to 39 % in Siemens CT scanner. Image noise and SNR increase by up to 10 % in the five CT scanners. Nonetheless, the differences in noise and SNR are statistically significant (p-value < 0.05).The analysis of the NPS indicates that the noise texture remains unchanged.

Conclusion: OBTCM reduces the tube exit kerma to the anterior part of the gantry without reducing substantially image quality for head protocols.

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Source
http://dx.doi.org/10.1016/j.ejmp.2024.103389DOI Listing

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