研究生: |
陳致成 CHIH-CHENG CHEN |
---|---|
論文名稱: |
互動式光學斷層牙齒掃描重建 Interactive OCT-based Tooth Scan and Reconstruction |
指導教授: |
賴祐吉
Yu-Chi Lai 姚智原 Chih-Yuan Yao |
口試委員: |
鄧惟中
Wei-Chung Teng 李士元 Shyh-Yuan Lee |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 65 |
中文關鍵詞: | 光學斷層掃描 、牙齒重建 |
外文關鍵詞: | OCT, Tooth Reconstruction |
相關次數: | 點閱:235 下載:0 |
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為了製作固定式假牙必須經過牙齒印模,然而目前臨床使用的傳統印模方式需要時間等待印膜材料定型,容易因不慎導致印模失敗或是造成患者不適,所以本篇論文利用光學相干斷層掃描(Optical Coherence Tomography,OCT)來完成一個數位印模系統。利用光學相干斷層掃描(OCT)取得微米級解析度的活體組織形態圖像,加速印模流程並完成牙齒的數位牙齒模型。
現有的模型重建演算法無法直接套用光學相干斷層掃描(OCT)取得的資料,而且掃瞄範圍受到限制,必須多次掃描來取得完整牙齒模型,此外如果掃瞄過程無法立即檢查掃描的結果,就容易發生需要重新掃描或補掃描而耗費不少時間。所以本篇論文設計這個數位牙齒印模系統,目標是產生數位的牙齒模型,以及掃描時的即時顯示,透過將掃描資料轉換成通用的點雲資料,並以圖形處理器(GPU)加速資料轉換過程,配合適當的拼接與重建演算法,達到後製建模以及即時顯示的目標。
最後本篇論文將系統分成兩部分進行實驗驗證,透過設計情境進行使用者研究,證明即時顯示能夠提升增進牙齒掃描效率,以及透過與口掃機模型進行誤差比較,分析本系統演算法的誤差值。
To make fixed dentures, it is necessary to take dental impressions. However, traditional dental impressions on clinical use needs time to wait for setting impression material. Taking dental impressions careless can easily cause impressions failed and discomfort for patients. Therefore, we use Optical Coherence Tomography(OCT) to build up a digital dental impressions system. It provides tissue morphology imagery at near-microscopic resolution. Speed up the process of dental impressions and build up digital dental model.
Normal model reconstruction algorithm can not use the data provided by the OCT directly. Because of the limitation of scan area, it is necessary to scan many times to build up a digital dental. In addition, if the result of the scan can not be checked immediately in scanning process. It is easy to cause the need of rescan or make up scan and spends a lot of time. Therefore, we design this digital dental impressions system. In order to build up digital dental model and real-time display in scanning process. scan data translates in to normal point cloud data. The translation process speed up by Graphics Processing Unit(GPU). With the appropriate alignment and reconstruction algorithm, system achieve the goal of modeling and real-time display.
Finally, we conduct two part of experimental verification to show up efficiency enhancement of scanning process and to analyze error of system algorithm.
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