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Updated: Jul 4, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
Organ dose optimization for a point-of-care forearm X-ray photon-counting CT
Pierre-Antoine Rodesch1, Anaïs Viry1, Mouad Khorsi1
1Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Abstract:
Spectral shaping is a computed tomography (CT) dose optimization technique that adjusts source voltage and filtration to reduce patient radiation exposure without compromising image quality. Traditionally, radiation dose has been assessed using the computed tomography dose index (CTDI). Emerging dosimetric approaches aim to enable patient-specific evaluations by estimating organ absorbed doses, providing a more accurate representation of the biological impact. This study investigates spectral shaping for an extremity photon-counting detector (PCD) CT, through organ absorbed dose estimation. Monte Carlo simulations were conducted to evaluate various combinations of source voltage and filtration. Tube voltage ranged from 80 to 140 kV, combined with three distinct filtrations. Simulations included three stages: a standardized phantom for CTDI assessment, an adult forearm phantom for organ dose measurement, and an image quality phantom for evaluation of an advanced image quality metric: the detectability index. The results demonstrate that, in a wrist PCD-CT imaging protocol, operating the source at 80 kV can reduce the radiation dose by up to 50%. This reduction is achieved while maintaining the same detectability index value as the standard 120 kV protocol. However, the optimal filtration depends on the organ targeted for dose reduction, as bone and skin benefit from opposing filtration approaches. While CTDI provides a useful initial estimate, it may lead to suboptimal optimization compared to organ-specific dose evaluation. Patient-specific dosimetry based on organ absorbed dose estimation offers a more accurate framework for optimizing CT protocols through spectral shaping than conventional CTDI-based approaches.
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