Dynamic Magnetic Resonance Imaging

Kalman filter;ensemble Kalman filter;magnetic resonance imaging (MRI);optical flow;dynamic imaging;cardiac imaging

Erturk, Onur ; Kamalabadi ; Farzad

关键词: Kalman filter;    ensemble Kalman filter;    magnetic resonance imaging (MRI);    optical flow;    dynamic imaging;    cardiac imaging;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/24080/Erturk_Onur.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

We propose a cost-effective algorithm for the dynamic image reconstruction problem in magnetic resonance imaging (MRI). The proposed imaging method, the ensemble Kalman filter, is a Monte Carlo approximation to the Kalman filter with reduced computational cost. The technique reconstructs images of snapshots taken during a cardiac cycle from a low number of measurements that can be obtained during the time interval. The algorithm makes use of a dynamic imaging model of the object derived from prior information.The results are produced by applying the method on the extendedcardiac-torso (XCAT) human body phantom with real life parameter selections. The reconstructions are sharp, accurate and fast without any ringing artifacts caused by the conventional methods.