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)