Macrophage Tracking Using the Hungarian Algorithm in Time Lapse MR Images
Macrophage Tracking Using the Hungarian Algorithm in Time Lapse MR Images
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DOI：
10.1109/icetet.2015.40
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
Atsuki Tashita;Syoji Kobashi;Y. Mori;M. Morimoto;S. Aikawa;Y. Yoshioka;Y. Hata
中科院分区：
文献类型：
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作者：
Atsuki Tashita;Syoji Kobashi;Y. Mori;M. Morimoto;S. Aikawa;Y. Yoshioka;Y. Hata
免疫细胞对人体健康有着重要的影响，但由于难以在体内观察到免疫细胞，因此对免疫细胞的研究还不够深入。最近的研究使我们能够利用11.7T磁共振成像（MRI）在体内获得单个巨噬细胞，这是免疫细胞的代表细胞。为了定量研究巨噬细胞的运动学，需要在MR图像中检测和跟踪巨噬细胞。运动学分析将有助于研究人员探讨自身免疫性疾病的机制。本文提出了一种在小鼠脑11.7T时移MR图像中自动跟踪单个巨噬细胞的方法。该方法使用背景减除算法检测巨噬细胞，并使用匈牙利算法跟踪巨噬细胞。实验结果表明，该方法能够成功地检测和跟踪磁共振图像中的巨噬细胞。
Immune cells deeply affect human health, however, it has not been investigated well due to difficulty of observing immune cells in vivo. The recent study enables us to acquire single Macrophage, which is the representative cell of immune cells, in vivo using 11.7 T magnetic resonance imaging (MRI). To quantify the kinematics of macrophages, it requires detection and tracking macrophages in MR image. The kinematic analysis will help researchers to investigate the mechanism of autoimmune diseases. This paper proposes an automated single macrophage tracking method in mouse brain 11.7 T time-lapse MR images. The method detects macrophages using background subtraction algorithm, and tracks macrophages using the Hungarian algorithm. The results showed that the proposed method detected and tracked macrophages in MR images successfully.