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Updated: Aug 7, 2025

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

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Published on: September 11, 2011

Brain image quality according to beam collimation width and image reconstruction algorithm: A phantom study.

Joël Greffier¹, Anaïs Viry², Quentin Durand¹

¹Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)

|March 11, 2023

Summary

Axial CT brain imaging offers reduced noise and comparable image quality to helical mode, regardless of dose or reconstruction algorithm. This makes axial acquisition a viable option for routine clinical brain CT scans.

Keywords:

Brain Computed tomography Deep-learning image reconstruction algorithm Wide collimation CT system

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Area of Science:

Medical Imaging
Radiology
Computed Tomography

Background:

Wide collimation CT systems are increasingly used for brain imaging.
Optimizing image quality while minimizing radiation dose is crucial in CT examinations.

Purpose of the Study:

To quantitatively and qualitatively compare brain CT image quality between helical and axial acquisition modes.
To evaluate the impact of dose levels and reconstruction algorithms (iterative reconstruction vs. deep-learning reconstruction) on image quality.

Main Methods:

Image quality and anthropomorphic phantoms were scanned on two wide collimation CT systems using axial and helical modes at varying dose levels.
Raw data were reconstructed using iterative reconstruction (IR) and deep-learning image reconstruction (DLR).
Noise power spectrum (NPS) and task-based transfer function (TTF) were analyzed, alongside subjective evaluation by radiologists.

Main Results:

Deep-learning reconstruction (DLR) generally reduced noise magnitude compared to iterative reconstruction (IR) on both systems.
Axial mode demonstrated lower noise magnitude than helical mode, with comparable noise texture and spatial resolution across both CT systems.
Radiologists deemed all acquired brain images satisfactory for clinical use.

Conclusions:

Axial acquisition (16-cm) effectively reduces image noise in brain CT without compromising spatial resolution or image texture compared to helical acquisition.
Axial acquisition is suitable for routine clinical brain CT examinations covering less than 16 cm.