本研究利用Marching Cube演算法建立精緻化的立體醫學影像並應用於大腸鏡模擬系統，醫生可透過虛擬大腸探索來檢測腸壁，在探索期間，提供塗抹、挖掘等工具來幫助醫生由腸壁表面漸進式的觀察至大腸組織，透過體素揀選來快速的找尋大腸表面。
由於立體醫學影像需占用較大的記憶體空間，因此我們使用減少區塊空間方法來解決此問題，每當使用者對物體進行操作時需重建三維物件，我們使用平行處理機制來加快重建速度。
目前IC製程核心技術為光學微影，因為光的某些特性往往使得製造結果無法達到佈局工程師的預期結果，在實際製程前我們會先進行模擬，本研究利用Terrain Mesh Rendering技術來呈現模擬結果，利用表格法來偵測模擬與預期結果間的誤差。

The research uses Marching Cube Algorithm to build an elaborate 3D medical image. We use the image to build a Colonoscope Simulation System. Doctors can examine bulge from intestinal wall and provide tools for doctors to observe information from surface into interior gradually. We use voxel picking method to find surface quickly.
It can occupy much memory space for elaborate 3D medical image. For the reason, we use block reducing method to solve the question. It needs to reconstruct 3D Object for each manipulation. We build a parallel mechanism to speed up reconstruction.
The major IC manufacturing process is Lithography. Because of the light characteristics, it can’t achieve results which engineers anticipate.
We can proceed the simulation before design is manufactured. The research uses Terrain Mesh Rendering to show simulation result. It uses Table Method to detect errors between anticipation and practical result.

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