27 October 2013 Respiratory motion compensation algorithm of ultrasound hepatic perfusion data acquired in free-breathing
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Proceedings Volume 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing; 89200I (2013) https://doi.org/10.1117/12.2032179
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
Images acquired in free breathing using contrast enhanced ultrasound exhibit a periodic motion that needs to be compensated for if a further accurate quantification of the hepatic perfusion analysis is to be executed. In this work, we present an algorithm to compensate the respiratory motion by effectively combining the PCA (Principal Component Analysis) method and block matching method. The respiratory kinetics of the ultrasound hepatic perfusion image sequences was firstly extracted using the PCA method. Then, the optimal phase of the obtained respiratory kinetics was detected after normalizing the motion amplitude and determining the image subsequences of the original image sequences. The image subsequences were registered by the block matching method using cross-correlation as the similarity. Finally, the motion-compensated contrast images can be acquired by using the position mapping and the algorithm was evaluated by comparing the TICs extracted from the original image sequences and compensated image subsequences. Quantitative comparisons demonstrated that the average fitting error estimated of ROIs (region of interest) was reduced from 10.9278 ± 6.2756 to 5.1644 ± 3.3431 after compensating.
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Kaizhi Wu, Kaizhi Wu, Xuming Zhang, Xuming Zhang, Guangxie Chen, Guangxie Chen, Fei Weng, Fei Weng, Mingyue Ding, Mingyue Ding, } "Respiratory motion compensation algorithm of ultrasound hepatic perfusion data acquired in free-breathing", Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200I (27 October 2013); doi: 10.1117/12.2032179; https://doi.org/10.1117/12.2032179
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