25 March 2011 Fast algorithm for respiratory motion correction in free-breathing contrast-enhanced ultrasound imaging
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Abstract
Respiratory motion affects the accurate quantification of the hepatic fusion, which does not benefit the early detection and treatment of hepatic cancers. A new strategy based on template matching is proposed to correct respiratory motion in the free-breathing time-series contrast-enhanced ultrasound (CEUS) images. Ultrasound machines generally have a dual-display feature of contrast and tissue windows under contrast-enhanced mode. The tissue window is used to track the targeted tumor in the contrast window. Therefore, the registration of contrast images is first achieved by the registration of the corresponding tissue images due to the low variation of grey level in the tissue image. Then, a simple double-selection method is proposed to select the similar images from a large number of successive matched images via the global and local threshold setting. Finally, the motion-corrected contrast images can be acquired by using the position mapping. This strategy was tested on 4 free-breathing CEUS image sequences using the sum of absolute differences metric. Results showed that the time-intensity curves could be extracted more accurately with this strategy. Moreover, the quality of curve fitting and the corresponding parametric imaging computed on the motion-corrected sequences was improved significantly. In conclusion, the image-based strategy can quickly correct the respiratory motion in CEUS image sequences, which is potentially suitable for the local quantification of hepatic perfusion studies.
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Ji Zhang, Ji Zhang, Mingyue Ding, Mingyue Ding, Fan Meng, Fan Meng, Yuchi Ming, Yuchi Ming, } "Fast algorithm for respiratory motion correction in free-breathing contrast-enhanced ultrasound imaging", Proc. SPIE 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, 796817 (25 March 2011); doi: 10.1117/12.877140; https://doi.org/10.1117/12.877140
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