Black blood cine vessel wall imaging based dynamic quantitative mapping of carotid artery vessel wall

Motivation: Dynamic quantitative carotid artery vessel wall imaging can effectively reduce the blurring effect caused by vascular pulsation. Goal(s): This study aims to develop a black blood cine sequence based dynamic quantitative carotid artery vessel wall imaging method. Approach: A VFA and ViMSDE duration-based BB cine quantitative sequence was proposed to acquire dynamic multi-contrast images. Dictionary matching method was introduced to estimate quantitative parameters from complicate signal equation. Results: The proposed protocol was in excellent agreement with standard mapping sequence in both phantom and volunteer experiment. Dynamic T1 and T2 maps has shown its potential in eliminating pulsation resulting blurringImpact: Dynamic T1 and T2 maps can be acquired with less pulsation related blurring. Dynamic and accurate quantitative information is expected to better assist clinical decision-making.