Macrophage learning-tracking algorithm in time-lapse MR images
Tashita Atsuki, Syoji Kobashi, Manabu Nii, Yuki Mori, Yoshichika Yoshioka, Yutaka Hata · 2016
It is difficult to observe the movement of immune cells in vivo deep. However, our recent study, by using 11.7 T magnetic resonance imaging (MRI), shows that it has become possible to observe the macrophages in living brain of mouse. Macrophages are a type of immune cell. In this paper, we propose a three dimensional tracking method of macrophages in the 11.7 T time lapse MR images and consider the application of machine learning for the detection of macrophages. This method was applied to a stroke model mouse. The result showed that we are able to track the macrophages in three dimensions. We applied Support Vector Machine (SVM) for the detection of macrophages. The proposed method and the two-dimensional tracking method were applied to the artificial data. The results showed that SVM have a good success to detect macrophages.