運用於果蠅腦神經之多重立體資料顯影系統

Abstract

近年來隨著腦科學的研究不斷興起，用來輔助研究工作的多重立體資料顯影技術漸漸成為趨勢，早期的立體資料顯影技術多著重於單一立體資料之顯影上，而多重立體資料顯影有別於單一立體資料顯影在於如何讓使用者能夠在數量龐大的立體資料中，分辨各立體資料並輕易的理解其幾何上的相對關係。本論文使用表面立體資料顯影中之Alpha Shapes演算法來建構果蠅腦中的神經元件，並用OpenGL內建之圓柱體及球體來建構神經群，實現一個多重立體影像之顯影系統。

The multi-volume rendering technique becomes a trend since the research of brain come up recently. In the past years, volume rendering technique was focused on rendering of single volume data. However, the most different between multi-volume rendering technique and single volume rendering technique is how to make a clear scene of the huge volume data for users, so that they can easily figure out the relationship of the neuron and the neuron components. We use a common surface rendering technique, Alpha-shapes, to implement the neuron components and CYLINDER and SPHERE function in OpenGL to construct neuron.