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Title:Dynamic Magnetic Resonance Imaging
Author(s):Erturk, Onur
Advisor(s):Kamalabadi, Farzad
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Kalman filter
ensemble Kalman filter
magnetic resonance imaging (MRI)
optical flow
dynamic imaging
cardiac imaging
Abstract: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 extended cardiac-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.
Issue Date:2011-05-25
Rights Information:Copyright 2011 Onur Erturk
Date Available in IDEALS:2011-05-25
Date Deposited:2011-05

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