人體氣管3D影像重建及流場模擬

隨著空氣污染的日益嚴重，呼吸系統疾病的病例有逐漸增多的趨勢。呼吸系統疾病大都可由藥物來治療，而藥物在氣管內的分佈與氣管內部構造的關係就相當重要了，所以相關氣管流場的探討有絕對的必要性，且可提供臨床醫師作?診斷的參考。人體的氣管是由大到小，而且是以一分二，二分四的方式向肺部延伸，構造相當複雜。在做數值模擬之前，需要先建立氣管的幾何模型。以往大多是用商業軟體來重建氣管外型，但仍需要許多費時的人工處理過程。本研究在於利用影像處理及幾何重建演算法，建立一套半自動系統來將二維氣管影像轉成三維幾何模型，降低人工處理的缺點，並減少前處理所需的時間，最後再在其上進行氣管的流場模擬。本文描述我們將不同領域技術整合的過程，從一開始讀入電腦斷層掃描影像，到後來外形重建、網格產生，然後再進行氣管之流場分析。

關鍵字

氣管重建；流場模擬；影像處理

並列摘要

During the recent years, increasingly more people are suffering from respiratory diseases due to the worsening of air pollution. Most of the respiratory diseases can be treated by medicines, and it is important to find out the correlation of how the medicine was distributed in the trachea and the internal structure of the trachea. Therefore the study of the air flow field in the trachea is necessary and its results could be the reference for diagnosis in medical practice. The trachea is a complicated 3D binary tree structure inside the lung. In order to perform numerical simulation, geometric model of trachea is needed. The traditional method to build the surface meshes of trachea has some limitations, such as the lack of automation. This research applies image processing and surface reconstruction algorithms to build a system, which can be used to generate 3D geometric models of trachea from a series of 2D image slices automatically or semi-automatically. This system could reduce the human error during the processing and save a lot of preprocessing time when creating the models for numerical analysis purpose. This paper describes the processes from import of the medical images, reconstruction of the surface and mesh, creation of the geometric models. Then we can perform flow analysis on these models.

並列關鍵字

Trachea reconstruction ； Flow simulation ； Image processing

國際替代計量

人體氣管3D影像重建及流場模擬

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