Dynamic Contrast Enhanced Computed Tomography is an imaging tool that aids in evaluating functional characteristics in different stages of disease assessment: diagnostic, treatment effectiveness and monitoring. At the present time, following all the technological advances, there remains no universally validated method of quantitative, non-invasive, perfusion imaging. In order to address this challenge, certain quality assurance flow phantoms have been developed. This work presents the first step in the prospective framework of phantom simulations with the goal of enhancing the understanding of contrast agent kinetics. Existing knowledge about a two-compartmental fluid exchange phantom was used to validate the constructed computational fluid dynamics (CFD) simulation model. The sensitivity of various parameters, both in the geometric and computational domains, was determined. Finally, the model was employed to evaluate current perfusion parameter estimation models. This provides the groundwork for future phantom developments within the framework.

Dynamic Contrast Enhanced Computed Tomography is an imaging tool that aids in evaluating functional characteristics in different stages of disease assessment: diagnostic, treatment effectiveness and monitoring. At the present time, following all the technological advances, there remains no universally validated method of quantitative, non-invasive, perfusion imaging. In order to address this challenge, certain quality assurance flow phantoms have been developed. This work presents the first step in the prospective framework of phantom simulations with the goal of enhancing the understanding of contrast agent kinetics. Existing knowledge about a two-compartmental fluid exchange phantom was used to validate the constructed computational fluid dynamics (CFD) simulation model. The sensitivity of various parameters, both in the geometric and computational domains, was determined. Finally, the model was employed to evaluate current perfusion parameter estimation models. This provides the groundwork for future phantom developments within the framework.

http://pubs.rsna.org/doi/full/10.1148/radiol.2015150416 / 京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第19575号 / 医博第4082号 / 新制||医||1013(附属図書館) / 32611 / 京都大学大学院医学研究科医学専攻 / (主査)教授 平岡 眞寛, 教授 YOUSSEFIAN Shohab, 教授 増永 慎一郎 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM