| 研究生: |
張天豪 Chang, Tien-Hao |
|---|---|
| 論文名稱: |
應用動態邊跡追蹤法偵測下頷骨神經管空腔 Detection of Mandibular Canal Using Dynamic Edge Tracing Method |
| 指導教授: |
鄭國順
Cheng, Kuo-Sheng |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 醫學工程研究所 Institute of Biomedical Engineering |
| 論文出版年: | 2011 |
| 畢業學年度: | 99 |
| 語文別: | 英文 |
| 論文頁數: | 50 |
| 中文關鍵詞: | 醫學影像處理 、下齒槽神經管 、牙齒種植學 、動態邊跡追蹤法 |
| 外文關鍵詞: | Medical image processing, Mandibular canal, Dental implantology, Dynamic edge tracing |
| 相關次數: | 點閱:93 下載:6 |
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為了避免人工牙根碰觸下頷骨的下齒槽神經,如何辨識下齒槽神經空腔位置對於牙醫師在植牙手術中相當重要。牙醫師在術前會先拍攝一張環口片來評估缺牙情形,而環口片的影像品質會影響牙醫師判斷下齒槽神經管的位置。本研究主要建立自動偵測下齒槽神經空腔位置之影像處理方法;為了簡化影像處理流程,此方法首先偵測下頷骨下緣邊跡位置,其次設定往下頷骨內之搜尋線,然後沿著搜尋線上之灰階變化剖面,應用小波濾波方法去除雜訊;再者從第一條搜尋線上所定義之下齒槽神經空腔之下緣點資訊,應用動態邊跡追蹤方法陸續描繪出下齒槽神經管下緣位置,最後使用二次曲線擬合下緣曲線使其平滑化,並垂直上移40個像素標定上邊緣,將環口片左右兩側的下齒槽神經空腔標定出來。系統驗證是利用牙醫師所描繪的下齒槽神經空腔位置為依據,計算本研究所研發系統演算法的正確率,使用南部某醫學中心十八個案例的環口片作為測試樣本,其中可行的結果有九個案例,正確率可達79%以上。由於頭顱結構相當複雜,環口片不易偵測,未來可以使用電腦斷層影像加以改進。
In order to avoid dental implant touching the inferior alveolar nerve in the mandible, how to identify the mandibular canal is extremely important to the dentist during dental implatation. Dentist usually use the panoramic radiograph to assess the situation of missing teeth before surgery, and the image quality of panoramic radiograph will affect the dentist to determine the location of the inferior alveolar nerve canal. In this study, the major purpose is to develop an image processing method for automatic detection of the inferior alveolar nerve canals. In this proposed method, the lower edge of mandibular is firstly detected, and then the searching lines along the interior of mandible are defined. Afterwards, the wavelet-based denoising method is applied to remove the noise along the gray level profile. All the lower positions of the inferior alveolar nerve canal are traced using dynamic edge tracing. The quadratic curve fitting is employed for these traced edges. Finally, 40 pixels up in vertical direction are considered as the canal region for both the left and right sides of the inferior alveolar nerve canals. In performance analysis, the regions of the inferior alveolar nerve canal drawn manually by an experienced dentist are used as the gold standard to determine the correction rate. 18 cases of panoramic radiographs from a southern medical center are tested. For the nine feasible cases, the correction rate is over 79%. Due to the complexity of craniofacial structure, it is not easy to detect the nerve canal. In the future, this may be improved using the images obtained from the cone beam CT for dental application.
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