| Summary: | 碩士 === 國立成功大學 === 資訊工程學系 === 103 === In human daily life, hands are often used in many actions, especially the thumb. It is used in up to 50% actions. Because of the frequently-used, makes it easily suffered from joint inflammation and arthrosis, especially Trapeziometacarpal Joint(TMC Joint). TMC joint is the most important joint of thumb. Its structure is totally different form any other finger joint, so it allows to move in multi-dimension, such as flexion, extension, adduction, abduction. These motion cannot be done at the same time by other joint, so we are really interested in TMC joint.
In order to investigate and analyze the motion of TMC joint, we choose computed tomography(CT). CT images have high anatomical resolution at the high density structure of human body, so it is often used in bone joint and spine scanning. In our experiment, we used CT scanning muti-posture of thumb motion for each subject.
There are two main points in our method, including mean model construction and average transformation between poses. First, we construct the statistical mean model by several intra case’ bone model. And then we calculate average transformation from previous studies. After acquiring these two information, we can segment the first pose’s bone model by deforming statistical mean model with Active Shape Model method to fit the bone region in its 3-D CT images. After the first pose's bone model is constructed, we can also obtain other poses’ initial bone model by applying the average transform to the first pose’s model, and then deform the initial model with Active Contour Model method to fit their own pose's 3-D images, finishing the segmentation. Overall, there are four points in our thesis, including automatically segment bony structure, 3-D visualize model construction, evaluating bio-mechanics of joint contact surface, and joint motion visualization. The technique and result of this thesis is helping for preventing from arthrosis and TMC joint bio-mechanics study.
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