520.746/600.746 Seminar on Medical Image Analysis Spring 2009

Cardiac Motion and Shape (4 papers)

1. O'Dell, W. G.; Moore, C. C.; Hunter, W. C.; Zerhouni, E. A. & McVeigh, E. R. Three-dimensional myocardial deformations: calculation with displacement field fitting to tagged MR images. Radiology, 1995, 195, 829-835 (google scholar citations = 142)
2. Osman, N. F.; Kerwin, W. S.; McVeigh, E. R. & Prince, J. L. Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging. �Mag. Res. Med., 1999, 42, 1048-1060 (google scholar citations = 209)
3. Notomi, Y.; Lysyansky, P.; Setser, R. M.; Shiota, T.; Popović, Z. B.; Martin-Miklovic, M. G.; Weaver, J. A.; Oryszak, S. J.; Greenberg, N. L.; White, R. D. & Thomas, J. D. Measurement of ventricular torsion by two-dimensional ultrasound speckle tracking imaging. J Am Coll Cardiol, 2005, 45, 2034-2041 (google scholar citations = 134)
4. Papademetris, X.; Sinusas, A. J.; Dione, D. P.; Constable, R. T. & Duncan, J. S. Estimation of 3-D left ventricular deformation from medical images using biomechanical models. IEEE Trans Med Imaging, 2002, 21, 786-800. (google scholar citations = 91)

Auxiliary Reading:

• Frangi, A. F.; Niessen, W. J. & Viergever, M. A. Three-dimensional modeling for functional analysis of cardiac images: a review. IEEE Trans Med Imaging, 2001, 20, 2-25.� (google scholar citations = 232)
• V. Behar, D. Adam, P. Lysyansky, Z. Friedman, �The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals,�� Ultrasonics, 41:743-753, 2004.

Similarity Metrics in Medical Imaging (3 papers)

5. P. Viola and W.M. Wells III, Alignment by Maximization of Mutual Information, Int�l J Comp Vis, 24(2):137-154, 1997. (google scholar citations = 1567)

6. J.P.W. Plium, J.B.A. Maintz, and M.A. Viergever, �f-information measures in medical image registration,� IEEE Trans Med Imag, 23(12):1508-1516, 2004.� (google scholar citations = 27)

7. D. Skerl, B. Likar, and F. Pernus, �A protocol for evaluation of similarity measures for non-rigid registration,� Med Imag Anal, 12(1):42-54, 2008.

Longitudinal Registration and Analysis (4 papers)

8. J.H. Naish, G. Vincent, M. Bowes, M. Kothari, D. White, J.C.Waterton, and C.J. Taylor , �A method to Monitor Local Changes in MR Signal Intensity in Articular Cartilage: A Potential Marker for Cartilage Degeneration in Osteoarthritis,� Proc MICCAI, pp.959-966, 2004.� (2 google citations)

9. G. Gerig, B. Davis, P. Lorenzen, S. Xu, M. Jomier, J. Piven, and S. Joshi, �Computational anatomy to assess longitudinal trajectory of brain growth,� Proc. 3DPVT, June 2006.� (1 google citations).

10. P. Aljabar, K.K. Bhatia, M. Murgasova, J.V. Hajnal, J.P. Boardman, L. Srinivasan, M.A. Rutherford, L.E. Dyet, A.D. Edwards, and D. Rueckert, �Assessment of brain growth in early childhood using deformation-based morphometry,� NeuroImage, 39:348-358, 2008. (2 google citations).

11. J.H. Hipwell, C. Tanner, W.R. Crum, J.A. Schnabel, D.J. Hawkes, �A new validation method for x-ray mammogram registration algorithms using a projection model of breast x-ray compression,� IEEE Trans Med Imag, 26(9):1190-1200, 2007.� (0 google citations)

Novel Image Registration Approaches

12. B. Glocker, N. Komodakis, G. Tziritas, N. Navab, and N. Paragios, �Dense image registration through MRF�s and efficient linear programming,� Med Imag Anal, 12(6):731-741, 2008.

13. M.-C. Chiang, A.D. Leow, A.D. Klunder, R.A. Dutton, M. Barysheva, S.E. Rose, K.L. McMahon, G.I. de Zubicacray, A.W. Toga, and P.M. Thompson, �Fluid registration of diffusion tensor images using information theory,� IEEE Trans Med Imag, 27(4):442-456, 2008.

Auxiliary Reading:

� �A. Leow, S.-C. Huang, A. Geng, J. Becker, S. Davis, A. Toga, and P. Thompson, �Inverse consistent mapping in 3D deformable image registration: its construction and statistical properties,� Proc. IPMI, pp.493-504, 2005.

Compressed Sensing (1 paper)