研究生: |
黃柄源 Bing-Yuan Huang |
---|---|
論文名稱: |
基於智慧型裝置的可攜式微創手術訓練系統模組之設計與開發 Design and development of portable modules for minimally invasive surgery training system based on a smart device |
指導教授: |
林淵翔
Yuan-Hsiang Lin |
口試委員: |
周迺寬
Nai-Kuan Chou 沈中安 Chung-An Shen |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 70 |
中文關鍵詞: | 微創手術 、腹腔鏡手術 、手術訓練系統 、影像辨識 、影像定位 、被動式標記 、FPGA 、器械定位器 |
外文關鍵詞: | minimally invasive surgery, laparoscopic surgery, surgery training system, image recognition, image positioning, passive marker, FPGA, instrument locator |
相關次數: | 點閱:653 下載:2 |
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微創手術只需要幾個小切口就能執行手術,它的優點包含傷口小、出血少和恢復快。然而,外科醫生只能透過內視鏡的畫面和手術器械進行手術,這會提高實行微創手術的複雜度以及困難性。因此,在實際開刀前醫生必須接受多種相關的訓練來提升他們的手術技巧。現存訓練系統大多有著零散難以組裝與體積龐大難以移動的缺點,所以本篇論文的目標在於開發一套基於智慧型裝置的可攜式混合型的微創手術訓練系統模組。系統中主要包含了三個部分:定位模組、實體訓練模組與智慧型裝置。本論文中已經成功實現本系統,方便攜帶而且容易應用於任何現存的手術訓練箱中,並且可以提供實體訓練模組以及虛擬實境兩種訓練方式。定位模組使用影像偵測兩個被動式標記(Marker)的位置,其定位的三軸誤差(X, Y, Z)分別為0.21±0.17 cm、0.10±0.10 cm和0.29±0.22 cm。不僅如此,定位模組還能在畫面更新率22 FPS (Frames per Second)下即時計算出座標,可以準確且流暢地應用於微創手術訓練之中。而經過7位專業醫師的問卷調查後可以證實本系統是具有可攜性以及訓練成效的。
The advantages of MIS include smaller incisions, less bleeding and shorter recovery time. However, surgeons can only perform laparoscopic surgery through the video from a laparoscope and surgical instruments. This may increase the complication and difficulties while fulfilling MIS. Therefore, before conducting the realistic operation, surgeons are required to receive multiple related trainings to improve their surgical skills. Current training systems are scattered and large. Herein, the objective of this thesis is to develop a smart device based, portable, and hybrid MIS training system. This proposed system consists of three main elements: a locator, a physical training module and a smart device. In this thesis, all parts of the system have been implemented to be carriable and simple to apply on any current surgical training box. In addition, the system provides physical and VR training processes based on smart device. The locator in our system can detect the positions of two markers through image processing. The errors of the provided locating method can reach to 0.21±0.17 cm in X-axis, 0.10±0.10 cm in Y-axis, and 0.29±0.22 cm in Z-axis. Besides, the coordinates can be calculated at the frame rate of 22 frames per second. Therefore, our system can work accurately and smoothly on MIS training, and the questionnaire proves that our system is portable and training-effective.
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