電腦斷層影像中齒槽骨資訊與植體安全性評估系統之研發

The Development of Evaluation System for Alveolar Bone Information and Dental Implant Safety in Cone-beam CT Images

莊琬合(WAN-HO CHUANG)

指導教授 ： 蘇振隆

中原大學/工學院/生物醫學工程研究所/碩士(2012年)

https://doi.org/10.6840/cycu201200948

摘要

臨床植牙手術最重要的是將植體植入手術前所規劃之位置角度上，因此手術前的評估及判斷成為植牙成功重要之要素。本研究目的是開發出一套電腦輔助評估系統，能計算對於下顎齒槽骨、下齒槽神經管、齒槽骨中適用植體之空間，並經植體樣本資料庫比對選擇適當之植體，能提供醫生進行植牙手術前之參考。
本研究利用Cone- beam CT之齒槽骨重建影像作為評估系統研發之影像，取得22例植牙前後之影像及69種不同尺寸之植體來做評估系統之材料。利用影像處理、分割、角度校正及空間計算等所得到結果對應不同尺寸之植體進行樣本資料庫之比對，計算出最適合之植體並與實際植入之植體做比較計算偏差範圍。
本系統對於角度校正、雜訊容忍、影像分割及計算齒槽骨空間方面進行假體驗證，角度校正像素質差異均為0.4%，影像前處理部分，像素質差異均為0.05%，影像分割部分，誤差均為0.88%。在樣本資料庫比對中，植體搜尋及尺寸查詢準確度均為100%。開發之系統能對影像雜訊作有效去除，齒槽骨空間計算也利用假體作測試，其結果顯示本系統能有良好之分割及計算能力且能獲得齒槽骨空間資訊及下顎神經管位置。
在系統評估方面的結果，第一階段影像處理後能100%分辨齒槽骨是否適合植牙，第二階段影像處理後準確率為89%，能找出與醫生判斷結果相符合之植體。綜合上述結果，本系統應能提供醫生手術前之評估及判斷，並輔助醫生藉由客觀的資訊進行植體之選擇。

關鍵字

下齒槽神經管 ； 齒槽骨 ； 錐狀射束電腦斷層 ； 牙科植體 ； 樣本資料庫

並列摘要

The most important thing of dental implantation is that the implant is planted to the position where we have planned before the operation. Due to this reason, the estimation and determination before operation become the most important factor. This study was based on cone beam computed tomography (CBCT) to develop a computer-aided evaluation system which may execute the calibration and division of image angle and determine the inferior Alveolar nerve for Mandibular Alveolar bone .This system also provided the calculation of the space for adapted implant in Alveolar bone and serviced as reference of the selection of implant from specimen database.
is a common estimation system before the operation. It can not only present images from various angles but also offer a simulation before operation by measuring and plotting function.
The study used the reconstruction image of the alveolar bone that was from CBCT to be the developing image. In order to evaluate the system, 22 before and after dental implanted CT images and 69 different sizes of implant were provided. Images were processed through image segmentation algorithm, planar image registration and region growing methods, and then find the space may used for implementation. Also, these results were compared with the specimen database which corresponded to different sizes of implantation so that the most adapted implantation was found and the range of inaccuracy was evaluated with actual implantation which we planned.

In phantom validation of our system, the difference of planar image registration pixels was 0.4%, the image pre-procession pixels was 0.05%, the image segmentation algorithm average was 0.88%. The SQL implant size search were no difference as 100% accuracy. In phantom test, our system could remove noise effectively. Preliminary results were from this study proved that our system could actually gain segment Alveolar bone and inferior Alveolar nerve.

In the results of our system assessment, in the first stage of image processing, the system was able to tell us whether the Alveolar bone was suitable for implanting, and in the second stage of image processing, it could find the implantation which was consist with the doctor, the accuracy of the system was 89%. These results show that this developed system can help doctors to make precise decision before the operation through objective information.

並列關鍵字

Alveolar bone ； Mandibular alveolar bone ； Dental implantation ； Cone-beam Computed-Tomography ； Structure query language(SQL)

參考文獻

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