title: Determination of contrast media administration to achieve a targeted contrast enhancement in computed tomography.
abstract: Contrast enhancement is a key component of computed tomography (CT) imaging and offers opportunities for optimization. The design and optimization of techniques, however, require orchestration with the scan parameters and, further, a methodology to relate contrast enhancement and injection function. We used such a methodology to develop a method, the 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 scan timing to provide more consistency in the way 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.
authors.affiliation: Duke University, Ravin Advanced Imaging Laboratories, Department of Radiology, Durham, North Carolina 27705, United States; Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania 19355, United States.
authors.forename: Pooyan
authors.initials: P
authors.lastname: Sahbaee
authors.affiliation: Duke University, Ravin Advanced Imaging Laboratories, Department of Radiology, Durham, North Carolina 27705, United States; Duke University, Medical Physics Graduate Program, Durham, North Carolina 27705, United States.
authors.forename: Paul P
authors.initials: PP
authors.lastname: Segars
authors.affiliation: Duke University , Department of Radiology, Durham, North Carolina 27710, United States.
authors.forename: Daniele
authors.initials: D
authors.lastname: Marin
authors.affiliation: Duke University , Department of Radiology, Durham, North Carolina 27710, United States.
authors.forename: Rendon
authors.initials: R
authors.lastname: Nelson
authors.affiliation: Duke University, Ravin Advanced Imaging Laboratories, Department of Radiology, Durham, North Carolina 27705, United States; Duke University, Medical Physics Graduate Program, Durham, North Carolina 27705, United States; Duke University, Department of Radiology, Durham, North Carolina 27710, United States.
authors.forename: Ehsan
authors.initials: E
authors.lastname: Samei
keywords: compartmental model; computed tomography; contrast enhanced; contrast material; patient specific
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