Retrospective tube current modulation optimization of individualized organ-level CT dose and image quality

Sen Wang; Maria Medrano; Abdullah-Al-Zubaer Imran; Grant Stevens; Justin Ruey Tse; Adam S. Wang

doi:10.1117/12.3006870

1 April 2024 Retrospective tube current modulation optimization of individualized organ-level CT dose and image quality

Sen Wang, Maria Medrano, Abdullah-Al-Zubaer Imran, Grant Stevens, Justin Ruey Tse, Adam S. Wang

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129251A (2024) https://doi.org/10.1117/12.3006870
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Automatic exposure control based on tube current modulation (TCM) can effectively reduce dose while maintaining image quality. Conventional TCM uses total exposure from the tube and noise in the center of CT slices as surrogates of dose and image quality, respectively. In this abstract, we present an automated method to optimize TCM at the organ level, offering increased flexibility and aligning with the concept of organ-specific radiation risk assessment. We applied our method to a retrospective CT dataset and incorporated automatic organ segmentation, Monte Carlo simulation for dose calculation, and an empirical model for noise estimation. This method was fully automated and readily scalable to massive clinical data, allowing the generation of ground-truth data for any data-driven approach to prospective planning, including methods utilizing scout images.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sen Wang, Maria Medrano, Abdullah-Al-Zubaer Imran, Grant Stevens, Justin Ruey Tse, and Adam S. Wang "Retrospective tube current modulation optimization of individualized organ-level CT dose and image quality", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129251A (1 April 2024); https://doi.org/10.1117/12.3006870

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