立體醫學影像表面的產生，是指由一系列二維的醫學影像產生三維的立體醫學影像並呈現在電腦螢幕上，而使用者亦能透過電腦對此立體醫學影像進行相關操作。
重建後的立體醫學影像，其影像品質會受到影像切割以及三維重建技術的影響。本項研究針對立體影像雜訊進行分析，並提出一系列提昇影像品質的演算法，在正確與快速的前提下建立出影像品質較佳的立體醫學影像。
除此之外，以此三維重建演算法重建的立體醫學影像，亦結合體素圖像與多邊形表面圖像之優點，前者完整保有三維物件內部資訊；後者在呈現上則提供較佳之影像品質。故於應用上，使用者在對此立體醫學影像進行相關操作時有更大的彈性與更快的反應時間。

The generation of the surface of 3D medical images indicates that a series of 2D medical images produces 3D objects presented on the screen of a computer and users can manipulate the 3D objects through the computer as well.
The quality of rebuilt 3D medical objects will be affected by the 2D image segmentation and 3D reconstruction methods. In order to produce better quality of the 3D medical images under the premise of accuracy and efficiency, this paper analyses the defects on the surface of 3D medical objects and presents a series of algorithms which is to improve the quality of the 3D medical objects.
Moreover, we also integrate the merits of voxel based images and surface based images into the medical images rebuilt by 3D reconstruction algorithm. The former ones hold entire information inside the 3D object, and the latter ones provide better image quality. In the aspect of application, this reconstruction method provides faster response time and more extensions when users manipulate the 3D objects.

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