研究生: |
陳信君 Hsin-chun Chen |
---|---|
論文名稱: |
快速製作口腔生物模型之研究 Research on rapid fabrication of oral biological models |
指導教授: |
鄭逸琳
Yih-Lin Cheng |
口試委員: |
許維君
Wei-Chun Hsu 李曉屏 Shiao-Pieng Lee |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2012 |
畢業學年度: | 100 |
語文別: | 中文 |
論文頁數: | 127 |
中文關鍵詞: | 電腦斷層掃描 、快速原型 、上顎竇 |
外文關鍵詞: | Computed Tomography, rapid prototyping, maxillary sinus |
相關次數: | 點閱:281 下載:0 |
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電腦斷層掃描所取得的影像可藉由醫學軟體將其重建出3D CAD,並且可經由快速原型技術建立出生物模型,然而口腔所取得的影像高達數百張,於重建3D CAD過程中非常耗費時間,對於極需動刀的病患不利於等待術前模擬的模型應用。因此,本研究宗旨在於改善影像編輯模式達到快速製作口腔生物模型。
先前的研究以閥值1150HU用於下顎骨及牙齒編輯可得最佳CAD影像,但實際測試發現無法應用於上顎竇及上顎編輯。因此,上顎及上顎竇閥值選取過程,先從500~1100HU中以間隔200HU尋找ㄧ適當值,再縮小間隔為50HU於找到最佳閥值,發現650~700HU最為適合編輯且編輯時間也最為節省。為降低影像編輯時間,當各部位的閥值訂定後,採用非逐張編輯策略重建3D CAD,發現影像間距於1.5mm以內可大幅降低編輯時間,並維持平均誤差在0.3mm以內,所製作出的生物模型也都能應用於臨床上。本研究藉由非逐張編輯的方式及適當影像閥值的訂定成功的改善影像編輯過程達到快速製作口腔生物模型。
Computed Tomography (CT) images can be converted into a 3D CAD model through medical image processing software, and then used to build a physical model by Rapid Prototyping (RP) techniques for clinical applications. The size of the oral cavity images taken by CT scan is usually up to several hundreds, and it is time consuming to conduct above process, which is unfavorable to urgent cases requiring a physical model for pre-operation simulation. Therefore, this research intended to improve the image editing process to rapidly fabricate oral biological models.
The suitable threshold value, 1150HU, used to edit images of mandible and teeth in our previous research is not applicable to maxilla and maxillary sinus. Hence, different thresholds for maxilla and maxillary sinus images, starting from 500HU to 1100HU with interval of 200HU, were initially tested to suggest a proper range. Then, smaller interval of 50HU was used in this proper range to find the best one, which concluded to be 650HU to 700HU. With appropriate thresholds for various portions, skip-images strategy was utilized to reduce image editing time. CAD models with different numbers of skipped images were evaluated and found that the skipping images with image interval of 1.5mm or lower could decrease the editing time significantly and still remain the average errors within 0.3mm. Moreover, the physical RP models were able to build for clinical applications. This research has successfully improved the image editing processing, and the approaches can be utilized to fabricate oral biological models rapidly.
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