Abstract
Intravascular Ultrasound (IVUS) is an image-guiding technique for cardiovascular diagnostic, providing cross-sectional images of vessels. During the acquisition, the catheter is pulled back (pullback) at a constant speed in order to acquire spatially subsequent images of the artery. However, during this procedure, the heart twist produces a swinging fluctuation of the probe position along the vessel axis. In this paper we propose a real-time gating algorithm based on the analysis of motion blur variations during the IVUS sequence. Quantitative tests performed on an in-vitro ground truth data base shown that our method is superior to state of the art algorithms both in computational speed and accuracy.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Arbab-Zadeh, A., DeMaria, A.N., Penny, W., Russo, R., Kimura, B., Bhargava, V.: Axial movement of the intravascular ultrasound probe during the cardiac cycle: Implications for three-dimensional reconstruction and measurements of coronary dimensions. American Heart Journal 138, 865–872 (1999)
Bruining, N., von Birgelen, C., de Feyter, P.J., Ligthart, J., Li, W., Serruys, P.W., Roelandt, J.: Ecg-ated versus nongated three-dimensional intracoronary ultrasound analysis: Implications for volumetric measurements. Catheterization and Cardiovascular Diagnosis 43, 254–260 (1998)
Zhu, H., Oakeson, K.D., Friedman, M.H.: Retrieval of cardiac phase from IVUS sequences. In: Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, vol. 5035, pp. 135–146 (2003)
O’Malley, S.M., Granada, J.F., Carlier, S., Naghavi, M., Kakadiaris, I.A.: Image-based gating of intravascular ultrasound pullback sequences. IEEE Transactions on Information Technology in Biomedicine 12(3), 299–306 (2008)
Gatta, C., Pujol, O., Leor, O.R., Ferre, J.M., Radeva, P.: Robust image-based ivus pullbacks gating. Med. Image Comput. Assist. Interv. Int. 11(Pt 2), 518–525 (2008)
O’Malley, S.M., Carlier, S.G., Naghavi, M., Kakadiaris, I.A.: Image-based frame gating of IVUS pullbacks: A surrogate for ecg. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, April 15-20, vol. 1, pp. I-433–I-436 (2007)
Yitzhaky, Y., Kopeika, N.S.: Identification of blur parameters from motion blurred images. Graphical Models and Image Processing 59(5), 310–320 (1997)
Dai, S., Wu, Y.: Motion from blur. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1–8 (June 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gatta, C., Balocco, S., Ciompi, F., Hemetsberger, R., Leor, O.R., Radeva, P. (2010). Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis: Method and Quantitative Validation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. MICCAI 2010. Lecture Notes in Computer Science, vol 6362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15745-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-15745-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15744-8
Online ISBN: 978-3-642-15745-5
eBook Packages: Computer ScienceComputer Science (R0)