Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Medical Image Analysis

Volumn 17, Issue 6, 2013, Pages 632-648

  Tobon Gomez, C ^a,b,l   De Craene, M ^a,b,c   McLeod, K ^d   Tautz, L ^e   Shi, W ^f   Hennemuth, A ^e   Prakosa, A ^d   Wang, H ^f   Carr White, G ^l   Kapetanakis, S ^l   Lutz, A ^g   Rasche, V ^f   Schaeffter, T ^l   Butakoff, C ^a,b   Friman, O ⁱ   Mansi, T ^h   Sermesant, M ^d   Zhuang, X ^j   Ourselin, S ^j   Peitgen, H O ^e   Pennec, X ^d   Razavi, R ^l   Rueckert, D ^f   Frangi, A F ^a,b,k   Rhode, K S ^l   more..

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c PHILIPS RESEARCH LABORATORIES   (Germany)

^d INRIA   (France)

^e FRAUNHOFER MEVIS   (Germany)

^f IMPERIAL COLLEGE LONDON   (United Kingdom)

^g UNIVERSITY OF ULM   (Germany)

^h SIEMENS CORPORATE RESEARCH   (United States)

ⁱ SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

^j UNIVERSITY COLLEGE LONDON   (United Kingdom)

^k UNIVERSITY OF SHEFFIELD   (United Kingdom)

^l KING'S COLLEGE LONDON   (United Kingdom)

more..

Author keywords

3D tagged MR; 3D ultrasound; Cardiac motion tracking; Multimodal; Spatiotemporal registration

Indexed keywords

3-D ULTRASOUND; 3D TAGGED MR; CARDIAC MOTION TRACKING; MULTI-MODAL; SPATIO-TEMPORAL REGISTRATION;

ALGORITHMS; BENCHMARKING; DATA VISUALIZATION; MEDICAL IMAGING; THREE DIMENSIONAL COMPUTER GRAPHICS; ULTRASONICS;

MAGNETIC RESONANCE;

ACCURACY; ADAPTATION; ALGORITHM; ANATOMIC LANDMARK; ARTICLE; CARDIAC IMAGING; CHEMICAL ANALYSIS; HEART CYCLE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PUBLICATION; QUALITY CONTROL; SURGICAL MESH; ULTRASOUND; WORKSHOP;

ADULT; ALGORITHMS; BENCHMARKING; CARDIAC-GATED IMAGING TECHNIQUES; DATABASES, FACTUAL; ECHOCARDIOGRAPHY; EUROPE; HEALTHY VOLUNTEERS; HEART; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MOVEMENT; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84878596716     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.03.008     Document Type: Article

References (49)

1. Amini A., Chen Y., Elayyadi M., Radeva P. Tag surface reconstruction and tracking of myocardial beads from spamm-mri with parametric b-spline surfaces. IEEE Transactions on Medical Imaging 2001, 20:94-103.
2. Angelini E., Gerard O. Review of myocardial motion estimation methods from optical flow tracking on ultrasound data. 28th Annual International Conference of the IEEE 2006, 1537-1540. IEEE.
3. Arsigny V., Commowick O., Pennec X., Ayache N. A log-euclidean framework for statistics on diffeomorphisms. Proc. of MICCAI'06, Part I 2006, 924-931. Springer.
4. Arts T., Prinzen F., Delhaas T., Milles J., Rossi A., Clarysse P. Mapping displacement and deformation of the heart with local sine-wave modeling. IEEE Transactions on Medical Imaging 2010, 29:1114-1123.
5. Bistoquet A., Oshinski J., Škrinjar O. Myocardial deformation recovery from cine mri using a nearly incompressible biventricular model. Medical Image Analysis 2008, 12:69-85.
6. Chandrashekara R., Mohiaddin R., Rueckert D. Analysis of 3-d myocardial motion in tagged mr images using nonrigid image registration. IEEE Transactions on Medical Imaging 2004, 23:1245-1250.
7. Chandrashekara R., Mohiaddin R., Rueckert D. Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration. IEEE Tansactions on Medical Imaging 2004, 1245-1250.
8. Chen T., Wang X., Chung S., Metaxas D., Axel L. Automated 3d motion tracking using gabor filter bank, robust point matching, and deformable models. IEEE Transactions on Medical Imaging 2010, 29:1-11.
9. Crosby J., Amundsen B., Hergum T., Remme E., Langeland S., Torp H. 3-d speckle tracking for assessment of regional left ventricular function. Ultrasound in Medicine & Biology 2009, 35:458-471.
10. De Craene, M., Piella, G., 2012. An implementation of TDFFD and LDFFD algorithms. Insight Journal. http://hdl.handle.net/10380/3345.
11. De Craene M., Piella G., Camara O., Duchateau N., Silva E., Doltra A., D'hooge J., Brugada J., Sitges M., Frangi A.F. Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography. Medical Image Analysis 2012, 16:427-450.
12. De Craene M., Tobon-Gomez C., Butakoff C., Duchateau N., Piella G., Rhode K.S., Frangi A.F. Temporal diffeomorphic free form deformation (TDFFD) applied to motion and deformation quantification of tagged mri sequences. Imaging and Modelling Challenges 2012, 68-77. Springer, Berlin/Heidelberg. O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
13. Deng X., Denney T. Three-dimensional myocardial strain reconstruction from tagged mri using a cylindrical b-spline model. IEEE Transactions on Medical Imaging 2004, 23:861-867.
14. D'hooge J., Heimdal A., Jamal F., Kukulski T., Bijnens B., Rademakers F., Hatle L., Suetens P., Sutherland G. Regional strain and strain rate measurements by cardiac ultrasound: principles, implementation and limitations. European Journal of Echocardiography 2000, 1:154-170.
15. Elen A., Choi H., 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 Transactions on Medical Imaging 2008, 27:1580-1591.
16. Huang J., Abendschein D., Davila-Roman V., Amini A. Spatio-temporal tracking of myocardial deformations with a 4-d b-spline model from tagged mri. IEEE Transactions on Medical Imaging 1999, 18:957-972.
17. Kerwin W., Prince J. Cardiac material markers from tagged mr images. Medical Image Analysis 1998, 2:339-353.
18. Knutsson, H., Andersson, M., 2005. Morphons: segmentation using elastic canvas and paint on priors. In: Symposium on Image Analysis SSBA, 2005, pp. 73-76.
19. Krucker J., LeCarpentier G., Fowlkes J., Carson P. Rapid elastic image registration for 3-d ultrasound. IEEE Transactions on Medical Imaging 2002, 21:1384-1394.
20. Larrabide I., Omedas P., Martelli Y., Planes X., Nieber M., Moya J., Butakoff C., Sebastián R., Camara O., De Craene M., Bijnens B.H., Frangi A.F. GIMIAS: an open source framework for efficient development of research tools and clinical prototypes. Lecture Notes in Computer Science 2009, vol. 5528:417-426. Springer, Berlin/Heidelberg. N. Ayache, H. Delingette, M. Sermesant (Eds.).
21. Ledesma-Carbayo M., Kybic J., Desco M., Santos A., Suhling M., Hunziker P., Unser M. Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Transactions on Medical Imaging 2005, 24:1113-1126.
22. Linguraru, M., Kabla, A., Vasilyev, N., del Nido, P., Howe, R., 2007. Real-time block flow tracking of atrial septal defect motion in 4d cardiac ultrasound. In: 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007 (ISBI 2007), IEEE, pp. 356-359.
23. Mansi, T., Pennec, X., Sermesant, M., Delingette, H., Ayache, N., 2011. iLogDemons: a demons-based registration algorithm for tracking incompressible elastic biological tissues. Int. J. of Computer Vision.
24. Manzke, R., Lutz, A., Schenderlein, M., Bornstedt, A., Chan, R.C., Dietmeyer, K., Rasche, V., 2010. A new PVA-based dynamic cardiac phantom for evaluation of functional MR imaging methods at 3T. ISMRM Proceedings.
25. McLeod K., Prakosa A., Mansi T., Sermesant M., Pennec X. An incompressible log-domain demons algorithm for tracking heart tissue. Imaging and Modelling Challenges 2012, 55-67. Springer, Berlin/Heidelberg. O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
26. Moore C.C., Lugo-Olivieri C.H., McVeigh E.R., Zerhouni E.A. Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged mr imaging. Radiology 2000, 214:453-466.
27. Papademetris X., Sinusas A., Dione D., Constable R., Duncan J. Estimation of 3-d left ventricular deformation from medical images using biomechanical models. IEEE Transactions on Medical Imaging 2002, 21:786-800.
28. Petitjean C., Rougon N., Cluzel P. Assessment of myocardial function: a review of quantification methods and results using tagged mri. Journal of Cardiovascular Magnetic Resonance 2005, 7:501-516.
29. Petitjean C., Rougon N., Cluzel P., Preteux F., Grenier P. Quantification of myocardial function using tagged mr and cine mr images. The International Journal of Cardiovascular Imaging (formerly Cardiac Imaging) 2004, 20:497-507.
30. Remme E., Augenstein K., Young A., Hunter P. Parameter distribution models for estimation of population based left ventricular deformation using sparse fiducial markers. IEEE Transactions on Medical Imaging 2005, 24:381-388.
31. Rougon N., Petitjean C., Preteux F., Cluzel P., Grenier P. A non-rigid registration approach for quantifying myocardial contraction in tagged mri using generalized information measures. Medical Image Analysis 2005, 9:353-375.
32. Rueckert D., Sonoda L., Hayes C., Hill D., Leach M., Hawkes D. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging 1999, 712-721.
33. Rutz A.K., Ryf S., Plein S., Boesiger P., Kozerke S. Accelerated whole-heart 3d cspamm for myocardial motion quantification. Magnetic Resonance in Medicine 2008, 59:755-763.
34. Shi W., Zhuang X., Wang H., Duckett S., Luong D., Tobon-Gomez C., Tung K., Edwards P., Rhode K., Razavi R., Ourselin S., Rueckert D. A comprehensive cardiac motion estimation framework using both untagged and 3-d tagged mr images based on nonrigid registration. IEEE Transactions on Medical Imaging 2012, 31:1263-1275.
35. Shi, W., Zhuang, X., et al., 2011. Automatic segmentation of different pathologies from cardiac cine MRI using registration and multiple component EM estimation. In: Functional Imaging and Modeling of the Heart, pp. 163-170.
36. Studholme C., Hill D., Hawkes D., et al. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 1999, 32:71-86.
37. Surry K.J.M., Austin H.J.B., Fenster A., Peters T.M. Poly(vinyl alcohol) cryogel phantoms for use in ultrasound and mr imaging. Physics in Medicine and Biology 2004, 49:5529.
38. Sutherland, G., Hatle, L., Claus, P., D'hooge, J., Bijnens, B., 2006. Doppler Myocardial Imaging - A Textbook. BSWK, Hasselt, Belgium.
39. Tautz L., Hennemuth A., Peitgen H.O. Motion analysis with quadrature filter based registration of tagged MRI sequences. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges 2012, 78-87. Springer, Berlin/Heidelberg. O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
40. Tobon-Gomez C., De Craene M., Dahl A., Kapetanakis S., Carr-White G., Lutz A., Rasche V., Etyngier P., Kozerke S., Schaeffter T., Riccobene C., Martelli Y., Camara O., Frangi A.F., Rhode K.S. A multimodal database for the 1st cardiac motion analysis challenge. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges 2012, 33-44. Springer, Berlin/Heidelberg. O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
41. Tustison N., Amini A. Biventricular myocardial strains via nonrigid registration of anfigatomical nurbs models. IEEE Transactions on Medical Imaging 2006, 25:94-112.
42. Vercauteren T., Pennec X., Perchant A., Ayache N. Symmetric log-domain diffeomorphic registration: a demons-based approach. Proc. of MICCAI'08, Part I 2008, 754-761. Springer, New York, USA, PMID: 18979814.
43. Veress A., Weiss J., Klein G., Gullberg G. Quantification of 3d left ventricular deformation using hyperelastic warping: comparisons between mri and pet imaging. Computers in Cardiology, 2002 2002, 709-712. IEEE.
44. Wandt B., Bojo L., Hatle L., Wranne B. Left ventricular contraction pattern changes with age in normal adults. Journal of the American Society of Echocardiography 1998, 11:857-863.
45. Wang H., Amini A. Cardiac motion and deformation recovery from mri: a review. IEEE Transactions on Medical Imaging 2011, 1-1.
46. Wang H., Shi W., Zhuang X., Duckett S., Tung K., Edwards P., Razavi R., Ourselin S., Rueckert D. Automatic cardiac motion tracking using both untagged and 3D tagged MR images. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges 2012, 45-54. Springer, Berlin/Heidelberg. O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
47. Xu C., Pilla J., Isaac G., Gorman J., Blom A., Gorman R., Ling Z., Dougherty L. Deformation analysis of 3d tagged cardiac images using an optical flow method. Journal of Cardiovascular Magnetic Resonance 2010, 12:1-14.
48. Zheng Y., Barbu A., Georgescu B., Scheuering M., Comaniciu D. Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features. IEEE Transactions on Medical Imaging 2008, 1668-1681.
49. Zhuang X., Rhode K., Razavi R., Hawkes D.J., Ourselin S. A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI. IEEE Transactions on Medical Imaging 2010, 1612-1625.