TY - JOUR
T1 - Ultrasound bio-microscopic image segmentation for evaluation of zebrafish cardiac function
AU - Zhou, Xiaowei
AU - Sun, Lei
AU - Yu, Yanyan
AU - Qiu, Weibao
AU - Lien, Ching Ling
AU - Shung, K.
AU - Yu, Weichuan
PY - 2013
Y1 - 2013
N2 - Zebrafish can fully regenerate their myocardium after ventricular resection without evidence of scars. This extraordinary regenerative ability provides an excellent model system to study the activation of the regenerative potential for human heart tissue. In addition to the morphology, it is vital to understand the cardiac function of zebrafish. To characterize adult zebrafish cardiac function, an ultrasound biomicroscope (UBM) was customized for real-time imaging of the zebrafish heart (about 1 mm in diameter) at a resolution of around 37 ¿m. Moreover, we developed an image segmentation algorithm to track the cardiac boundary and measure the dynamic size of the zebrafish heart for further quantification of zebrafish cardiac function. The effectiveness and accuracy of the proposed segmentation algorithm were verified on a tissuemimicking phantom and in vivo zebrafish echocardiography. The quantitative evaluation demonstrated that the accuracy of the proposed algorithm is comparable to the manual delineation by experts.
AB - Zebrafish can fully regenerate their myocardium after ventricular resection without evidence of scars. This extraordinary regenerative ability provides an excellent model system to study the activation of the regenerative potential for human heart tissue. In addition to the morphology, it is vital to understand the cardiac function of zebrafish. To characterize adult zebrafish cardiac function, an ultrasound biomicroscope (UBM) was customized for real-time imaging of the zebrafish heart (about 1 mm in diameter) at a resolution of around 37 ¿m. Moreover, we developed an image segmentation algorithm to track the cardiac boundary and measure the dynamic size of the zebrafish heart for further quantification of zebrafish cardiac function. The effectiveness and accuracy of the proposed segmentation algorithm were verified on a tissuemimicking phantom and in vivo zebrafish echocardiography. The quantitative evaluation demonstrated that the accuracy of the proposed algorithm is comparable to the manual delineation by experts.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000317010200008
UR - https://openalex.org/W2009131885
UR - https://www.scopus.com/pages/publications/84875853015
U2 - 10.1109/TUFFC.2013.2620
DO - 10.1109/TUFFC.2013.2620
M3 - Journal Article
C2 - 23549532
SN - 0885-3010
VL - 60
SP - 718
EP - 726
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 4
M1 - 6489806
ER -