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Rigid and elastic registration for coronary artery IVUS images



Intravascular ultrasound (IVUS) has been widely used in diagnosis and interventional treatment of cardiac vessel diseases. The coronary artery IVUS images are usually polluted by motion artifacts caused by cardiac motion, pulsatile blood and catheter twist during continuous pullback acquisition.


Strategies for rigid and elastic registration of coronary artery IVUS studies are developed to suppress the longitudinal motion and misalignment between successive frames.


Rigid registration is performed by searching for the optimal matching for each frame in other cycles based on the cyclic variation of gray-scale features. The image sequence is gated to properly identify the frames in each cardiac phase. Then, elastic registration between frames is achieved through an optimization algorithm based on thin plate spline (TPS) to correct the misalignment of successive slices.


Experimental results with in vivo image data shows that the rigid registration performs better than the offline ECG gating. The elastic mapping relation between lumen contours in successive frames is smooth and continuous.


The serrated vessel wall borders in longitudinal cuts are smoothed after rigid registration while image segmentation and feature extraction are required. The point-to-point correspondence between lumen contours detected from two matched frames is obtained with elastic registration.



Leung KYE, , Baldewsing R, , Mastik F, , Schaar JA, , Gisolf A, , van der Steen AFW. Motion compensation for intravascular ultrasound palpography. IEEE Trans Ultrason Ferroelectr Freq Control. 2006; 53(7): 1269.


Hernàndez-Sabaté A, , Gil D, , Fernandez-Nofrerías E, , Radeva P, , Marti E. Approaching artery rigid dynamics in IVUS. IEEE Trans Med Imaging. 2009; 28(11): 1670.


Bruining N, , von Birgelen C, , de Feyter PJ, , Ligthart J, , Li W, , Serruys PW, , Roelandt JR. ECG-gated versus nongated three dimensional intracoronary ultrasound analysis: implications for volumetric measurements. Cathet Cardiovasc Diagn. 1998; 43(3): 254.


Gatta C, , Pujol O, , Leor OR, , Ferre JM, , Radeva P. Robust image based IVUS pullbacks gating. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2): 518.


Rosales M, , Radeva P, , Rodriguez-Leor O, , Gil D. Modeling of image-catheter motion for 3-D IVUS. Med Image Anal. 2009; 13(1): 91.


Sun Z, and Wang J. Compensation of in-plane rigid motion for in vivo intracoronary ultrasound image sequence. Comput Biol Med. 2013; 43(9): 1077.


O'Malley SM, , Granada JF, , Carlier S, , Naghavi M, , Kakadiaris IA. Image-based gating of intravascular ultrasound pullback sequences. IEEE Trans Inf Technol Biomed. 2008; 12(3): 299.


Sun Z, and Yan Q. An off-line gating method for suppressing motion artifacts in ICUS sequence. Comput Biol Med. 2010; 40(11-12): 860.


Sniedovich M. Dynamic programming: foundations and principles. Taylor and Francis Press, 2010.


Katouzian A, , Angelini ED, , Carlier SG, , Suri JS, , Navab N, , Laine AF. A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) images. IEEE Trans Inf Technol Biomed. 2012; 16(5): 823.


Rohr K, , Stiehl HS, , Sprengel R, , Buzug TM, , Weese J, , Kuhn MH. Landmark-based elastic registration using approximating thin-plate splines. IEEE Trans Med Imaging. 2000; 20(6): 526.


Chui H, , Rangarajan A. A new point matching algorithm for non-rigid registration. Comput Vis Image Underst. 2003; 89(2-3): 114.


Oakeson KD, , Zhu H, , Friedman MH. Quantification of cross-sectional artery wall motion with IVUS image registration. In: Proceedings of SPIE International Conference on Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, edited by William F. Walker, Stanislav Y. Emelianov; 2004, p. 119.