本實驗室過去的研究中，經由快速編輯CT影像並配合快速原型技術建立出生物模型，且讓整體精度維持在一定範圍內。在非逐張編輯的研究中，發現可以藉由減少編輯CT影像的張數來達到快速編輯的目的，且平均誤差都在容許範圍內，並能滿足臨床上的需求，雖然模型整體的誤差很小，但牙齒細節卻無法完整呈現在模型上。因此本研究之主旨為解決上述問題，並使用更好的影像編輯方式，以及應用於其他醫療領域。
探討齒型圓滑原因之過程中，發現CT影像在掃描過程中為了更好觀測腫瘤及癌細胞，都會將CT影像作平滑處理，此外在醫療影像處理軟體中也會因為演算法的不同，使產生出來的3D Model也會發生圓滑的現象，而且如果再配合非逐張編輯的方式處理CT影像，會使模型之牙齒細節更不明顯。因此，建議告知CT影像之技術人員另外進行設定，以取得未經平滑之CT影像；在編輯CT影像的軟體上採用Avizo，此套軟體可以將CT影像未經平滑的產生出3D Model，使牙齒細節清晰的呈現，且使用Avizo內3D Segmentation的功能可以快速的將3D Model所要的部分分割完成，且此功能不必使用非逐張編輯就能快速的將3D Model建立完成。在Avizo之編輯過程中，由於過去的閥值不適用於本研究之編輯環境，故本研究將髁狀突、上下顎骨、上下顎齒、鼻竇薄膜等閥值重新挑選，並經由上述方法研究出快速製作出可呈現細節之顱顏面顎骨模型。此外我們將此研究延伸應用至咬合板、關節盤、並建立人工顳顎關節資料庫。

In the previous researches in our laboratory, 3D physical craniofacial and maxillofacial models can be rapidly generated by Rapid Prototyping (RP) technology from Computed Tomography (CT) images with acceptable overall accuracy. Skip-images strategy was also studied to significantly decrease editing time with limited penalty in average errors. Although the geometry errors of the models were small and could meet strict clinical demands, the teeth details were not well-revealed in the models. Therefore, this research intended to improve this issue and to adopt the better models to other medical application.
The reasons to cause round-out teeth features were investigated, and found that the previous CT images were smoothed during scanning for better observation of tumors and cancer cells. Besides, the built-in algorithms of the medical image processing software, Mimics, we used previously would smooth the data when it generates 3D models. Moreover, if the skip-images strategy was adopted at the same time, resolutions of teeth would become worse. Therefore, it is recommended to notify technicians first to obtain CT images without smoothing. When processing the CT images, another commercial software, Avizo, which would not automatically smooth the data in generating 3D models, was used instead. In Avizo, the function of “3D Segmentation” can rapidly select or remove the portions for editing and can save editing time effectively without taking the skip-images strategy. Suitable threshold values for editing for condyle and mandible, maxillary sinus membrane, and lower teeth were also found accordingly in Avizo. The improved approaches were able to rapidly generate craniofacial and maxillofacial 3D models with better details. Furthermore, our preliminary studies have extended the applications to occlusal splints, articular discs, and building up artificial temporomandibular joint databases.

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