Daniel R. Thedens
dan-thedens@uiowa.edu

Assistant Professor
Electrical and Computer Engineering

5013 Seamans Center
The University of Iowa
Iowa City, IA 52242-1527

Telephone (319) 335-5961


Joined the College of Engineering: 1999

Education: Ph.D., Electrical Engineering, Stanford University, 1999; M.S., Electrical Engineering, University of Iowa, 1993; B.S., Biomedical Engineering, University of Iowa, 1989.

Special Fields of Knowledge: Magnetic resonance imaging (MRI); cardiovascular imaging; medical image processing

Present Research Interests: MRI of coronary arteries; three-dimensional MRI; novel k-space sampling strategies; quantitative medical image analysis; automated segmentation and visualization for cardiac imaging

Selected Publications: 

  • D. R. Thedens, P. Irarrazaval, T. S. Sachs, C. H. Meyer, D. G. Nishimura, Fast magnetic resonance coronary angiography with a three-dimensional stack of spirals trajectory. Magn. Reson. Med. 41 1170-1179 (1999).
  • H. E. Cline, D. R. Thedens, P. Irarrazaval, C. H. Meyer, B. S. Hu, D. G. Nishimura, S. Ludke, 3D MR coronary artery segmentation. Magn. Reson. Med. 40 697-702 (1998).
  • G. E. Gold, D. R. Thedens, J. M. Pauly, K. P. Fechner, G. Bergman, C. F. Beaulieu, A. Macovski, MR imaging of articular cartilage of the knee: new methods using ultrashort TEs. Am. J. Roentgenol., 170 1223-1226 (1998).
  • D. R. Thedens, D. J. Skorton, S. R. Fleagle, Methods of graph searching for border detection in image sequences with applications to cardiac magnetic resonance imaging. IEEE Trans. Med. Imaging 14 42-55 (1995).
  • S. R. Fleagle, D. R. Thedens, J. C. Ehrhardt, T. D. Scholz, D. J. Skorton, Automated identification of left ventricular borders from spin-echo magnetic resonance images. Experimental and clinical feasibility studies. Invest Radiol 26, 295-303 (1991).

Active Scientific and Professional Society Memberships: International Society for Magnetic Resonance in Medicine; Institute of Electrical and Electronic Engineers
 

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