由MRI影像辨識膝關節軟骨與誤差分析; Cartilage identification and error analysis of knee joints from MRI images.

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Title:	由MRI影像辨識膝關節軟骨與誤差分析;Cartilage identification and error analysis of knee joints from MRI images.
Authors:	江宥萱;You-xuan Jiang
Contributors:	機械工程研究所
Keywords:	局部膝關節置換;核磁共振影像;人工植入物;Partial knee arthroplasty;MRI;Artificial implant
Date:	2010-01-26
Issue Date:	2010-06-10 16:55:25 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	現今流行的全膝關節置換術或單膝關節置換術都是切除大面積的骨組織，然而依據Widuchowski 的臨床統計，膝關節的病變範圍大約有90%是在2 平方公分之內。若針對病變區做局部置換手術，除了有傷口小、復原快的優點外，也保留了大部分的正常軟硬骨組織。近年來已有局部膝關節置換術通過FDA 認證，但這些植入物並非客製化品。若能在術前偵測出膝關節軟骨損傷區的表面型狀，則可以預製修補缺陷所需的客製化人工植入物，達到客製化局部膝關節置換的目標。本研究使用核磁共振影像(MRI)來判讀膝關節軟骨的邊界。MRI 影像先經由影像處理和調整Window/Level 的方式，偵測出每張MRI 影像膝關節軟骨表面的邊界，再經由三維重建的技術，建立出膝關節軟骨表面的三維模型。為了確認所重建之三維模型的正確度，以六隻豬後腿的關節作實驗，並進行MRI 掃描與關節軟骨表面雷射掃描。由MRI 影像重建的三維模型再與雷射掃描所獲得的點群座標進行誤差比對，以確認由MRI 影像重建之關節軟骨曲面的精確度。實驗結果發現，由MRI 重建之三維模型與由雷射掃描所得的點之間的整體平均誤差為0.438mm，而在易受損的內髁、滑車和外髁等部位，其平均誤差分別為0.326mm、0.253mm和0.31mm。而豬膝關節MRI 的像素大小為0.4297mm ´0.4297mm，影像間距為1mm，故局部平均誤差皆在1 個像素內。所以以MRI 影像評估膝關節受損區似乎可行，換句話說，可將此重建之三維模型作為局部膝關節修補用植入物的設計依據。 Currently popular total knee replacement or unicompartmental knee replacement has to resect large volume of bone tissue. However, according to the clinic statistics of Widuchowski, around 90 percent of knee joint defects are within 2cm2 in area. If the defect is treated by partial joint replacement, the advantages include smaller incision, quicker recovery, and less resection of normal tissue. In recent years, FDA had approved implants for partial knee replacement. However, these implants are not customer-made. If the surface shape of the defect area of knee cartilage can be detected and diagnosed prior to operation, the customer-made implant for replacing the defect can be prefabricated and enable the feasibility of using customer-made implants for partial knee replacement. In this study, MRI (magnetic resonance imaging) images are used to diagnose the cartilage boundary of knee joints. Through image processing and adjustment of Window / Level of the images, the cartilage boundary of knee joints of each MRI image can be detected. Then, the three-dimensional model of knee cartilage can be reconstructed by using marching cube algorithm. In order to confirm the accuracy of the reconstructed cartilage 3D model, six pig hind leg joints are conducted to have both MRI scan and laser scan. The accuracy of 3D cartilage surface models reconstructed from MRI images is verified by the point data obtained from laser scan. The experimental results showed that the overall average error between the MRI 3D model and the points obtained by laser scanning is 0.438mm. Moreover, the high-potential damage areas such as the medial condyle, trochlea, and the lateral condyle, their average errors are 0.326 mm , 0.253 mm and 0.31 mm, respectively. Compared to the MRI pixel size of 0.4297mm by 0.4297mm and image spacing of 1mm, the average errors are smaller than the pixel size. Therefore, it seems to be feasible to assess the knee damage area from MRI images. In other words, the reconstructed 3D model from MRI images can be used as a reference for the design of implants for partial knee arthroplasy.
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