Study on automatic tracking algorithm of neurons in most atlas of mouse brain based on open curve snake

Abstract

In spite of the rapid development of science and technology, the nervous system of human is still the most sophisticated functional system, which is based on billions of neurons, the basic structure of brains. In this paper, section atlas of mouse brain were scanned by micro-optic Sectioning Tomography (MOST). In the current literature reports, the existing algorithms cannot track neurons of complex image data effectively. In order to achieve a more effective tracking method for MOST data, our paper proposed an improved scheme based on the OpenSnake tracking algorithm, and used the C++ language to implement algorithm. Our methods provide important theoretical basis for the study of AD.