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oai:www.ideals.illinois.edu:2142/24080 2023-07-10 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Kamalabadi, Farzad Erturk, Onur 2011-05-25T14:51:21Z 2011-05-25T14:51:21Z 2011-05-25T14:51:21Z 2011-05 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. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-19T18:51:24Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Draft.tex: 117125 bytes, checksum: ff0ac46f780a31be450a5589ed88f883 (MD5) Erturk_Onur.pdf: 1490027 bytes, checksum: d75738a94b0e0901282e09d42a58154b (MD5) Made available in DSpace on 2011-05-25T14:51:21Z (GMT). No. of bitstreams: 3 Erturk_Onur.pdf: 1490027 bytes, checksum: d75738a94b0e0901282e09d42a58154b (MD5) license.txt: 4058 bytes, checksum: b25a8b5dc753c73986c5da9292ccafc0 (MD5) Draft.tex: 117125 bytes, checksum: ff0ac46f780a31be450a5589ed88f883 (MD5) http://hdl.handle.net/2142/24080 en Copyright 2011 Onur Erturk Kalman filter ensemble Kalman filter magnetic resonance imaging (MRI) optical flow dynamic imaging cardiac imaging Dynamic Magnetic Resonance Imaging Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS