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Proceedings Paper

Patient specific tube current modulation for CT dose reduction
Author(s): Yannan Jin; Zhye Yin; Yangyang Yao; Hui Wang; Mingye Wu; Mannudeep Kalra; Bruno De Man
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Paper Abstract

Radiation exposure during CT imaging has drawn growing concern from academia, industry as well as the general public. Sinusoidal tube current modulation has been available in most commercial products and used routinely in clinical practice. To further exploit the potential of tube current modulation, Sperl et al. proposed a Computer-Assisted Scan Protocol and Reconstruction (CASPAR) scheme [6] that modulates the tube current based on the clinical applications and patient specific information. The purpose of this study is to accelerate the CASPAR scheme to make it more practical for clinical use and investigate its dose benefit for different clinical applications. The Monte Carlo simulation in the original CASPAR scheme was substituted by the dose reconstruction to accelerate the optimization process. To demonstrate the dose benefit, we used the CATSIM package generate the projection data and perform standard FDK reconstruction. The NCAT phantom at thorax position was used in the simulation. We chose three clinical cases (routine chest scan, coronary CT angiography with and without breast avoidance) and compared the dose level with different mA modulation schemes (patient specific, sinusoidal and constant mA) with matched image quality. The simulation study of three clinical cases demonstrated that the patient specific mA modulation could significantly reduce the radiation dose compared to sinusoidal modulation. The dose benefits depend on the clinical application and object shape. With matched image quality, for chest scan the patient specific mA profile reduced the dose by about 15% compared to the sinusoid mA modulation; for the organ avoidance scan the dose reduction to the breast was over 50% compared to the constant mA baseline.

Paper Details

Date Published: 18 March 2015
PDF: 6 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122Z (18 March 2015); doi: 10.1117/12.2081486
Show Author Affiliations
Yannan Jin, GE Global Research Ctr. (United States)
Zhye Yin, GE Global Research Ctr. (United States)
Yangyang Yao, GE Global Research Ctr. (China)
Hui Wang, GE Global Research Ctr. (China)
Mingye Wu, GE Global Research Ctr. (China)
Mannudeep Kalra, Harvard Medical School (United States)
Bruno De Man, GE Global Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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