A parameterization of deformation fields for diffeomorphic image registration and its application to myocardial delineation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 340-348

  Chen, Hua Mei ^a   Goela, Aashish ^a,b   Garvin, Gregory J ^a,c   Li, Shuo ^a,d  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b LONDON HEALTH SCIENCES CENTRE   (Canada)

^c ST JOSEPH S HEALTH CENTRE   (Canada)

^d GE HEALTHCARE   (Canada)

Author keywords

cardiac MRI; diffeomorphic image registration; incompressibility constraint; myocardial delineation; topology preserving

Indexed keywords

CARDIAC MRI; DIFFEOMORPHIC IMAGE REGISTRATION; INCOMPRESSIBILITY CONSTRAINT; MYOCARDIAL DELINEATION; TOPOLOGY PRESERVING;

CONSTRAINED OPTIMIZATION; DATA PROCESSING; DEFORMATION; HEART; IMAGE REGISTRATION; MEDICAL COMPUTING; MEDICAL IMAGING; PARAMETERIZATION; TOPOLOGY;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HEART; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HEART; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 78349251694     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_42     Document Type: Conference Paper

References (18)

1. Modersitzki, J.: Numerical Methods for Image Registration. Oxford University Press, Oxford (2004)
2. Liao, G., Anderson, D.: A New Approach to Grid Generation. Applicable Analysis 44(3), 285-298 (1992)
3. Liu, J.: New Developments of the Deformation Method. PhD dissertation. Department of Mathematics, The University of Texas at Arlington (2006)
4. Zhou, X.: On Uniqueness Theorem of a Vector Function. Progress in Electromagnetics Research 65, 93-102 (2006)
5. Jiang, B.-N.: The Least-Squares Finite Element Method: Theory and Applications in Computational Fluid Dynamics and Electromagnetics. Springer, Heidelberg (1998)
6. Ben Ayed, I., Li, S., Ross, I.: Embedding Overlap Priors in Variational Left Ventrical Tracking. IEEE Transactions on Medical Imaging 28(12), 1902-1913 (2009)
7. Ben Ayed, I., Punithakumar, K., Li, S., Islam, A.: Left Ventricle Segmentation via Graph Cut Distribution Matching. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 901-909. Springer, Heidelberg (2009)
8. Lynch, M., Ghita, O., Whelan, P.F.: Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model. IEEE Trans. on Medical Imaging 27(2), 195-203 (2008)
9. Jolly, M.-P.: Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images. International Journal of Computer Vision 70(2), 151-163 (2006)
10. Ledesma-Carbayo, M., et al.: Spatio-Temporal Nonrigid Registration for Ultrasound Cardiac Motion Estimation. IEEE Transactions on Medical Imaging 24(9), 1113-1126 (2005)
11. Punithakumar, K., et al.: Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 373-380. Springer, Heidelberg (2009)
12. Noble, N., et al.: Myocardial Delineation via Registration in a Polar Coordinate System. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 651-658. Springer, Heidelberg (2002)
13. Beg, M., Miller, M., Trouve, A., Younes, L.: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphism. International Journal of Computer Vision 61(2), 139-157 (2005)
14. Rueckert, D., et al.: Diffeomorphic Registration Using B-Splines. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 702-709. Springer, Heidelberg (2006)
15. Ashburner, J.: A Fast Diffeomorphic Image Registration Algorithm. NeuroImage 38, 95-113 (2007)
16. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Non-Parametric Diffeomorphic Image Registration with the Demons Algorithm. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 319-326. Springer, Heidelberg (2007)
17. Saddi, K., Chefd'hotel, C., Cheriet, F.: Large deformation registration of contrast-enhanced images with volume-preserving constraint. In: Proc. of SPIE Medical Imaging, vol. 6512(1) (2007)
18. Rohlfing, T.: Transformation model and constraints cause bias in statistics on deformation fields. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 207-214. Springer, Heidelberg (2006)