Identification of blur parameters from motion blurred images
Graphical Models and Image Processing
Robust Image-Based IVUS Pullbacks Gating
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Image-Based Gating of Intravascular Ultrasound Pullback Sequences
IEEE Transactions on Information Technology in Biomedicine
Automatic branching detection in IVUS sequences
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Combining Growcut and temporal correlation for IVUS lumen segmentation
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Automatic non-rigid temporal alignment of IVUS sequences
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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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.