Elastic image registration to quantify 3-d regional myocardial deformation from volumetric ultrasound: Experimental validation in an animal model

Ultrasound in Medicine and Biology

Volumn 39, Issue 9, 2013, Pages 1688-1697

  Heyde, Brecht ^a   Bouchez, Stefaan ^b   Thieren, Sabine ^a   Vandenheuvel, Michael ^b   Jasaityte, Ruta ^a   Barbosa, Daniel ^a   Claus, Piet ^a   Maes, Frederik ^c   Wouters, Patrick ^b   D'hooge, Jan ^a,d  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d Norwegian Institute for Science and Technology   (Norway)

Author keywords

Echocardiography; Elastic registration; Invivo; Sonomicrometry; Strain; Validation

Indexed keywords

ECHOCARDIOGRAPHY; MICROCRYSTALS; ULTRASONICS;

ELASTIC IMAGE REGISTRATION; ELASTIC REGISTRATION; EXPERIMENTAL VALIDATIONS; IN-VIVO; MYOCARDIAL DEFORMATION; SONOMICROMETRY; ULTRASOUND EXAMINATION; VALIDATION;

STRAIN;

ACCURACY; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CORONARY ARTERY BLOOD FLOW; FEMALE; HEART CYCLE; HEART MUSCLE ISCHEMIA; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; MYOCARDIAL DEFORMATION; MYOCARDIAL DISEASE; NONHUMAN; PRIORITY JOURNAL; REFERENCE VALUE; SHEEP; THREE DIMENSIONAL ECHOCARDIOGRAPHY; VALIDATION PROCESS; VOLUMETRY;

ECHOCARDIOGRAPHY; ELASTIC REGISTRATION; IN VIVO; SONOMICROMETRY; STRAIN; VALIDATION;

ALGORITHMS; ANIMALS; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; ELASTICITY IMAGING TECHNIQUES; HEART VENTRICLES; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SHEEP; SUBTRACTION TECHNIQUE; VENTRICULAR FUNCTION, LEFT;

EID: 84881660293     PISSN: 03015629     EISSN: 1879291X     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2013.02.463     Document Type: Article

References (37)

1. Bijnens B., Claus P., Weidemann F., Strotmann J., Sutherland G. Investigating cardiac function using motion and deformation analysis in the setting of a coronary artery disease. Circulation 2007, 116:2453-2464.
2. Bogaert J., Rademaekers F. Regional nonuniformity of normal adult human left ventricle. Am J Physiol Heart Circ Physiol 2001, 280:H610-H620.
3. Byrd R., Lu P., Nocedal J., Zhu C. Alimited memory algorithm for bound constrained optimization. SIAM J Sci Comput 1995, 16:1190-1208.
4. Cerqueira M., Weissman N., Dilsizian V., Jacobs A., Kaul S., Laskey W., Pennell D., Rumberger J., Ryan T., Mario V. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. Circulation 2002, 105:539-542.
5. Claus P, Choi H, D'hooge J, Rademakers F. On the calculation of principle curvatures of the left-ventricular surfaces. In: IEEE Engineering in Medicine and Biology Society Conference, 2008. pp. 961-964.
6. Crosby J., Amundsen B., Hergum T., Remme E., Langeland S., Torp H. 3-D speckle tracking for assessment of regional left ventricular function. Ultrasound Med Biol 2009, 35:458-471.
7. De Craene M., Allain P., Gao H., Prakosa A., Marchesseau S., Somphone O., Hilpert L., Manrique A., Delingette H., Makram-Ebeid S., Villain N., D'hooge J., Sermesant M., Saloux E. Computational and physical phantom setups for the second cardiac motion analysis challenge (cMAC2). Statistical atlases and computational models of the heart: Imaging and modeling challenges. Lecture Notes in Computer Science, Vol. 7746 2012, 125-133. Springer, New York. O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young (Eds.).
8. De Craene M., Piella G., Camara O., Duchateau N., Silva E., Doltra A., D'hooge J., Brugada J., Sitges M., Frangi A. Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Med Image Anal 2012, 16:427-450.
9. Duan Q., Angelini E., Herz S., Ingrassia C., Costa K., Holmes J., Homma S., Laine A. Region-based endocardium tracking on real-time three-dimensional ultrasound. Ultrasound Med Biol 2009, 35:256-265.
10. Elen A., Choi H., Loeckx D., Gao H., Claus P., Suetens P., Maes F., D'hooge J. 3D cardiac strain estimation using spatio-temporal elastic registration of ultrasound images: A feasibility study. IEEE Trans Med Imaging 2008, 27:1580-1591.
11. Gayat E., Ahmad H., Weinert L., Lang R., Mor-Avi V. Reproducibility and inter-vendor variability of left ventricular deformation measurements by three-dimensional speckle-tracking echocardiography. JAm Soc Echocardiogr 2011, 24:878-885.
12. Heyde B., Cygan S., Choi H., Lesniak-Plewinska B., Barbosa D., Elen A., Claus P., Loeckx D., Kaluzynski K., D'hooge J. Regional cardiac motion and strain estimation in three-dimensional echocardiography: A validation study in thick-walled univentricular phantoms. IEEE Trans Ultrason Freq Control 2012, 59:668-682.
13. Heyde B., Jasaityte R., Barbosa D., Robesyn V., Bouchez S., Wouters P., Maes F., Claus P., D'hooge J. Elastic image registration versus speckle tracking for 2D myocardial motion estimation: A direct comparison invivo. IEEE Trans Med Imaging 2013, 32:449-459.
14. Heyde B, Jasaityte R, Bouchez S, Vandenheuvel M, Loeckx D, Claus P, Wouters P, D'hooge J. Three-dimensional myocardial strain estimation from volumetric ultrasound: Experimental validation in an animal model. In: IEEE International Ultrasonics Symposium, Orlando, FL, USA, 2011:1862-1865.
15. Jasaityte R., Heyde B., D'hooge J. Current state of three-dimensional myocardial strain estimation using echocardiography. JAm Soc Echocardiogr 2013, 26:15-28.
16. Jasaityte R., Heyde B., Ferferieva V., Amundsen B., Barbosa D., Loeckx D., Kiss G., Orderud F., Claus P., Torp H., D'hooge J. Comparison of a new methodology for the assessment of 3D myocardial strain from volumetric ultrasound with 2D speckle tracking. Int J Cardiovascular Imaging 2012, 28:1049-1060.
17. Kukulski T., Jamal F., Herbots L., D'hooge J., Bijnens B., Hatle L., De Scheerder I., Sutherland G. Identification of acutely ischemic myocardium using ultrasonic strain measurements. JAm Coll Cardiol 2003, 41:810-819.
18. Kybic J., Unser M. Fast parametric elastic image registration. IEEE Trans Image Process 2003, 12:1427-1442.
19. Langeland S., Wouters P., Claus P., Leather A., Bijnens B., Sutherland G., Rademakers F., D'hooge J. Experimental assessment of a new research tool for the estimation of two-dimensional myocardial strain. Ultrasound Med Biol 2006, 32:1509-1513.
20. 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 Trans Med Imaging 2005, 24:1113-1126.
21. Leung E., Danilouchkine M., van Stralen M., de Jong N., van der Steen A., Bosch J. Left ventricular border tracking using cardiac motion models and optical flow. Ultrasound Med Biol 2011, 37:605-616.
22. Lopata R., Nillesen M., Thijssen J., Kapusta L., de Korte C. Three-dimensional cardiac strain imaging in healthy children using RF-data. Ultrasound Med Biol 2011, 37:1399-1408.
23. Maffessanti F., Nesser H., Weinert L., Steringer-Mascherbauer R., Niel J., Gorissen W., Sugeng L., Lang R., Mor-Avi V. Quantitative evaluation of regional left ventricular function using three-dimensional speckle tracking echocardiography in patients with and without heart disease. Am J Cardiol 2009, 104:1755-1762.
24. Marwick T. Will standardization make strain a standard measurement?. JAm Soc Echocardiogr 2012, 25:1204-1206.
25. Mor-Avi V., Lang R., Badano L., Belohlavek M., Cardim N., Derumeaux G., Galderisi M., Marwick T., Nagueh S., Sengupta P., Sicari R., Smiseth O., Smulevitz B., Takeuchi M., Thomas J., Vannan M., Voigt J., Zamorano J. Current and evolving echocardiographic techniques for the quantitative evaluation of cardiac mechanics: ASE/EAE consensus statement of methodology and indications. JAm Soc Echocardiogr 2011, 24:277-313.
26. Myronenko A., Song X., Sahn D. Maximum likelihood motion estimation in 3D echocardiography through non-rigid registration in spherical coordinates. Functional Imaging and Modeling of the Heart. Lecture Notes in Computer Science, Vol. 5528 2009, 427-436. Springer, New York.
27. Ortiz-Pérez J., Rodríguez J., Meyers S., Lee D., Davidson C., Wu E. Correspondence between the 17-segment model and coronary arterial anatomy using contrast-enhanced cardiac magnetic resonance imaging. JACC Cardiovascular Imaging 2008, 1:282-293.
28. Papademetris X., Sinusas A., Dione D., Duncan J. Estimation of 3D left ventricular deformation from echocardiography. Med Image Anal 2001, 5:17-28.
29. Reant P., Barbot L., Touche C., Dijos M., Arsac F., Pillois X., Landelle M., Roudaut R., Lafitte S. Evaluation of global left ventricular systolic function using three-dimensional echocardiography speckle tracking strain parameters. JAm Soc Echocardiogr 2012, 25:68-79.
30. Rueckert D., Sonoda L., Hill D., Leach M., Hawkes D. Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Trans Med Imaging 1999, 18:712-721.
31. Seo Y., Ishizu T., Enomoto Y., Sugimori H., Aonuma K. Endocardial surface tracking for assessment of regional LV wall deformation with 3D speckle tracking imaging. JAm Coll Cardiol 2011, 4:358-365.
32. Seo Y., Ishizu T., Enomoto Y., Sugimori H., Yamamoto M., Machino T., Kawamura R., Aonuma K. Validation of 3-dimensional speckle tracking imaging to quantify regional myocardial deformation. Circ Cardiovasc Imaging 2009, 2:451-459.
33. Somphone O, Makram-Ebeid S, Cohen L. Robust image registration based on a partition of unity finite element method. In: International Symposium on Biomedical Imaging, 2008:1123-1126.
34. Theroux P., Ross J., Franklin D., Kemper W., Sasyama S. Regional myocardial function in the conscious dog during acute coronary occlusion and responses to morphine, propranolol, nitroglycerin, and lidocaine. Circ Res 1976, 53:302-314.
35. Yang L., Georgescu B., Zheng Y., Wang Y., Meer P., Comaniciu D. Prediction based collaborative trackers (PCT): A robust and accurate approach toward 3D medical object tracking. IEEE Trans Med Imaging 2011, 30:1921-1932.
36. Yoo T, Ackerman M, W L, Schroeder W, Chalana V, Aylward S, D M, Whitaker R. Engineering and algorithm design for an image processing API: A technical report on ITK-The Insight Toolkit. In: Studies in Health Technology and Informatics, Proceedings of Medicine Meets Virtual Reality, Vol. 85. Amsterdam: IOS Press, 2002:586-592.
37. Zitova B., Flusser J. Image registration methods: A survey. Image Vision Comput 2003, 21:977-1000.