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dc.contributorDepartment of Health Technology and Informatics-
dc.creatorYu, Y-
dc.creatorLien, CL-
dc.creatorShung, KK-
dc.creatorSun, L-
dc.publisherIEEE Ultrasonics, Ferroelectrics, and Frequency Control Societyen_US
dc.rights©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Yu, Y., Lien, C. -., Shung, K. K., & Sun, L. (2010). Cardiac parameters analysis for zebrafish heart regeneration based on highfrequency ultrasound imaging. Paper presented at the Proceedings - IEEE Ultrasonics Symposium, 1665-1668 is available at
dc.subjectHigh frequency ultrasounden_US
dc.subjectZebrafish heart regenerationen_US
dc.subjectAutomatic segmentationen_US
dc.subjectEjection fractionen_US
dc.titleCardiac parameters analysis for zebrafish heart regeneration based on highfrequency ultrasound imagingen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this manuscript: K. Kirk Shungen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractZebrafish can fully regenerate their myocardium after up to 20% ventricular resection within 2 months without evidence of scar tissues. The extraordinary regenerative abilities provide a significant model system to study the activation of the regenerative potential of human heart tissue. In order to characterize cardiac functions of zebrafish during heart regeneration, we used high-frame-rate high-frequency ultrasound system with the capabilities of 75 MHz B-mode imaging to monitor real-time cardiac parameters. Longitudinal in vivo experiments was carried out to capture echocardiographic images from individual fishes. A pilot study on 6 fish over 30 days post amputation (dpa) was performed using this technique. A total of over 400 videos were captured. To process the large video data, an automatic image segmentation algorithm was developed. By using information obtained from temporal decorrelation of the B-mode image sequence, the epicardium is determined in a region-based level set framework combined with shape priors and Kalman filtering. Afterwards, the size of the heart was estimated frame by frame using the outlined epicardium to obtain its dynamic variation. Subsequently, the maximum and minimum of the heart size was used to calculate ejection fraction (EF). The time course of the mean EF (n=6) with a "V" shape indicates the strong ability of zebrafish to recovery cardiac functions along its morphological regeneration.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2010 IEEE International Ultrasonics Symposium Proceedings : California, October 11-14, 2010, p. 1665-1668-
dc.description.ros2010-2011 > Academic research: refereed > Refereed conference paper-
dc.description.oaAccepted Manuscripten_US
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