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Bovine bone natural frequencies evaluation by using transfer matrix method based upon DICOM images

机译:基于DICOM图像的转移矩阵方法牛骨自然频率评估

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This study presents the use of the transfer matrix method to calculate the natural frequencies for bovine bone. The bovine bone was considered as continues system. This continues system was transferred to discrete system by discretizing it using the Digital Imaging and Communications in Medicine (DICOM) images obtained from CT-Scan test. Those images were used to evaluate the geometrical properties of the bone segments. Geometrical properties variation along the bone length were evaluated by using image-processing technique (Binary Image). Each slice was considered as beam and the total number of beam segments is equal to the number of DICOM images. The bone was divided into 226 segments (1.25 mm slice thickness). Euler Bernoulli equation of motion was used to formulate the transfer matrix. Finite elements method based on ANSYS mechanical APDL version 14.5 was used to calculate the natural frequency. This method was used to check the discrepancy of the results obtained from the transfer matrix method. This method was done by building the three dimensional modal based upon the DICOME images and solving the modal analysis by using ANSYS software. The deviation in the results obtained from the two methods was less than 15%. The simplicity and efficiency of transfer matrix method recommends further improvement by using the gray images instead of binary images to evaluate bone geometrical, physical, and mechanical properties based upon the grayscale value of each pixel for both cortical and compact bone.
机译:本研究表明了转移矩阵法计算牛骨的自然频率。牛骨被认为是持续的系统。通过使用从CT扫描测试获得的医学(DICOM)图像中的数字成像和通信将其传送到离散系统,将该持续系统转移到离散系统。这些图像用于评估骨段的几何特性。通过使用图像处理技术(二进制图像)评估沿骨长的几何特性变化。每个切片被认为是光束,并且光束段的总数等于DICOM图像的数量。将骨分为226个段(1.25 mm切片厚)。 Euler Bernoulli运动方程用于制定转移矩阵。基于ANSYS机械APDL版本14.5的有限元方法用于计算自然频率。该方法用于检查从转移矩阵法获得的结果的差异。该方法是通过基于DICOME图像构建三维模态来完成的,并通过使用ANSYS软件来解决模态分析。从两种方法获得的结果的偏差小于15%。转移矩阵方法的简单性和效率建议通过使用灰度图像而不是二进制图像来进一步改进,以基于用于皮质和紧凑骨的每个像素的灰度值来评估骨几何,物理和机械性质。

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