Presentation + Paper
1 April 2024 Personalized, scout-based dose estimation for prospective optimization of CT tube current modulation
Author Affiliations +
Abstract
CT diagnostic imaging is a major contributor to ionizing radiation exposure in the United States. Unfortunately, a reduction in radiation dose often results in degraded image quality. Automatic Exposure Control (AEC) is the most commonly used method to balance image quality and dose in x-ray CT, generally by modifying the scan’s tube current modulation (TCM) parameters. To allow current AEC techniques to be better personalized to the patient size, organ dose, and clinical task, our team previously proposed Scout-Dose and Scout-IQA to prospectively estimate dose and noise from frontal and lateral scouts, scan range, and TCM map. In this study, we evaluate for the first time the performance of our scout-based organ dose and noise predictions in an optimization framework to prospectively determine real-time, personalized TCM maps from a patient’s acquired scouts and scan ranges.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Maria Medrano, Sen Wang, Abdullah-Al-Zubaer Imran, Grant Stevens, Justin Ruey Tse, and Adam Wang "Personalized, scout-based dose estimation for prospective optimization of CT tube current modulation", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129251J (1 April 2024); https://doi.org/10.1117/12.3006268
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KEYWORDS
Image quality

Liver

Modulation

Bladder

X-ray computed tomography

Mathematical optimization

Ionizing radiation

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