A NEW REGISTRATION APPROACH FOR DYNAMIC ANALYSIS OF CALCIUM SIGNALS IN ORGANS.
A NEW REGISTRATION APPROACH FOR DYNAMIC ANALYSIS OF CALCIUM SIGNALS IN ORGANS.
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器官中钙信号动态分析的新注册方法。
DOI：
10.1109/isbi.2018.8363724
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Chen,DannyZ
中科院分区：
文献类型：
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作者：
Liang,Peixian;Chen,Jianxu;Brodskiy,PavelA;Wu,Qinfeng;Zhang,Yejia;Zhang,Yizhe;Yang,Lin;Zartman,JeremiahJ;Chen,DannyZ
Wing disc pouches of fruit flies are a powerful genetic model for studying physiological intercellular calcium (Ca2+) signals for dynamic analysis of cell signaling in organ development and disease studies. A key to analyzing spatial-temporal patterns of Ca2+signal waves is to accurately align the pouches across image sequences. However, pouches in different image frames may exhibit extensive intensity oscillations due to Ca2+signaling dynamics, and commonly used multimodal non-rigid registration methods may fail to achieve satisfactory results. In this paper, we develop a new two-phase non-rigid registration approach to register pouches in image sequences. First, we conduct segmentation of the region of interest. (i.e., pouches) using a deep neural network model. Second, we use a B-spline based registration to obtain an optimal transformation and align pouches across the image sequences. Evaluated using both synthetic data and real pouch data, our method considerably outperforms the state-of-the-art non-rigid registration methods.
