Large diffeomorphic ffd registration for motion and strain quantification from 3D-US sequences

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

Volumn 5528, Issue , 2009, Pages 437-446

  De Craene, Mathieu ^a,b   Camara, Oscar ^a,b   Bijnens, Bart H ^a,b,c   Frangi, Alejandro F ^a,b,c  

^a BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

3-D ULTRASOUND; BEFORE AND AFTER; CARDIAC DEFORMATION; CARDIAC FUNCTIONS; CARDIAC RESYNCHRONIZATION; CLINICAL OBSERVATION; DISPLACEMENT FIELD; FREE-FORM DEFORMATION; HEALTHY SUBJECTS; HEART FAILURE; IMAGE SEQUENCE; IN-VIVO; LONGITUDINAL STRAIN; MUTUAL INFORMATIONS; NOISY IMAGE; NONSTATIONARY; REGISTRATION METHODS; ROBUST STRATEGY; STRAIN CURVES; TIME RESOLUTION; TIME STEP; VELOCITY FIELD;

DEFORMATION; LIGHT MEASUREMENT; STRAIN; ULTRASONIC IMAGING;

THREE DIMENSIONAL;

EID: 68849131143     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01932-6_47     Document Type: Conference Paper

References (11)

1. Beg, M.F., Miller, M.I., Trouvé, A., Younes, L.: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. Int. J. Comput. Vision 61(2), 139-157 (2005)
2. Butakoff, C., Balocco, S., Ordas, S., Frangi, A.F.: Simulated 3D ultrasound lv cardiac images for active shape model training, vol. 6512, p. 65123U. SPIE (2007)
3. Duan, Q., Angelini, E., Homma, S., Laine, A.: Validation of optical-flow for quantification of myocardial deformations on simulated RT3D ultra-sound. In: ISBI, pp. 944-947. IEEE, Los Alamitos (2007)
4. Elen, A., Choi, H.F., Loeckx, D., Gao, H., Claus, P., Suetens, P., Maes, F., D'hooge, J.: Three-dimensional cardiac strain estimation using spatio-temporal elastic registration of ultrasound images: a feasibility study. IEEE T Med. Imaging 27(11), 1580 (2008)
5. Grau, V., Becher, H., Noble, J.A.: Registration of multiview real-Time 3-D echocardiographic sequences. IEEE T Med. Imaging 26(9), 1154-1165 (2007)
6. Khan, A.R., Beg, M.F.: Representation of time-varying shapes in the large deformation diffeomorphic framework. In: ISBI, pp. 1521-1524 (2008)
7. Ledesma-Carbayo, M.J., Kybic, J., Desco, M., Santos, A., Suhling, M., Hunziker, P., Unser, M.: Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE T Med. Imaging 24(9), 1113-1126 (2005)
8. Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T.K., Eubank, W.: PET-CT image registration in the chest using free-form deformations. IEEE T Med. Imaging 22(1), 120-128 (2003)
9. Rueckert, D., Aljabar, P., Heckemann, R.A., Hajnal, J.V., Hammers, A.: Diffeomorphic Registration using B-Splines. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 702-709. Springer, Heidelberg (2006)
10. 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)
11. Zhu, C., Byrd, R.H., Nocedal, J.: L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization. ACM Transactions on Mathematical Software 23(4), 550-560 (1997)