Paper
18 March 2015 Determination of contrast media administration to achieve a targeted contrast enhancement in CT
Pooyan Sahbaee, Yuan Li, Paul Segars, Daniele Marin, Rendon Nelson, Ehsan Samei
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Abstract
Contrast enhancement is a key component of CT imaging and offer opportunities for optimization. The design and optimization of new techniques however requires orchestration with the scan parameters and further a methodology to relate contrast enhancement and injection function. In this study, we used such a methodology to develop a method, analytical inverse method, to predict the required injection function to achieve a desired contrast enhancement in a given organ by incorporation of a physiologically based compartmental model. The method was evaluated across 32 different target contrast enhancement functions for aorta, kidney, stomach, small intestine, and liver. The results exhibited that the analytical inverse method offers accurate performance with error in the range of 10% deviation between the predicted and desired organ enhancement curves. However, this method is incapable of predicting the injection function based on the liver enhancement. The findings of this study can be useful in optimizing contrast medium injection function as well as the scan timing to provide more consistency in the way that the contrast enhanced CT examinations are performed. To our knowledge, this work is one of the first attempts to predict the contrast material injection function for a desired organ enhancement curve.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pooyan Sahbaee, Yuan Li, Paul Segars, Daniele Marin, Rendon Nelson, and Ehsan Samei "Determination of contrast media administration to achieve a targeted contrast enhancement in CT", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941205 (18 March 2015); https://doi.org/10.1117/12.2082261
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KEYWORDS
Iodine

Kidney

Liver

Computed tomography

Intestine

Stomach

Blood

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