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슬관절의 3 차원 CT 영상과 2 차원 Xray 영상의 고속 정합에 알맞은 최적화 단계의 설정 방법 연구
우성경(Sungkyung Woo),감동욱(Donguk Kam),김대욱(Dae Wook Kim),이건우(Kunwoo Lee) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
Numbers of patients who agree to take ‘Robotic Surgery’ rather than real human doctor is continually increasing. While taking TKA, Total Knee Anthropology, the accurate registration of the tibia bone and femur bone is needed, because the knee joint has to stand for human weight. TKA is surgery for replacing knee joint with the implant knee joint. We suggest the surgery plan should be performed by using radiography with information brought by registration of the CT image and X-ay image. Because of the unique shape of the knee joint, tibia, and femur, we also suggest which similarity metric produce the best result of registration. In order to do that, we also give guideline for using optimization methods for registration of medical images. The optimization methods showed different result which depends on the combination of similarity metric and optimization methods. The research also finds out which and why the combination caused different result.
휴대폰과 센서를 통한 Structure-from-Motion 배율에 대한 연구
유수곤(Soogon Yoo),감동욱(Donguk Kam),김대욱(DaeWook Kim),이건우(Gunwoo Lee) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.하계
3D reconstruction and scanning of images have recently become researched in computer graphics and manufacturing industry. Especially, Structure-from-Motion, called SfM, is one of the most popular methods for finding 3D structure from the captured images, even by using mobile phones. However, SfM does not exactly calculate the scale of images compared with the real scenes. In order to check an exact scale of the scenes, IMU sensors in mobile phones can be used. Also, extended Kalman filter is applied for camera location estimation from sensor data, and from comparison of camera locations between filtered data and SfM, a scale factor can be calculated and applied in estimating scene depth or mapping scenes. We propose the method that a scale factor between captured images and real scenes is calculated by using sensors in mobile phones, as well as camera locations are estimated in real world case.