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Kobashi, Syoji,Fujimoto, Satoshi,Nishiyama, Takayuki,Kanzaki, Noriyuki,Fujishiro, Takaaki,Shibanuma, Nao,Kuramoto, Kei,Kurosaka, Masahiro,Hata, Yutaka Korean Institute of Intelligent Systems 2010 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.10 No.1
For developing navigation system of total hip arthroplasty (THA) and evaluating hip joint kinematics, 3-D pose position of the femur and acetabulum in the pelvic coordinate system has been quantified. The pelvic coordinate system is determined by manually indicating pelvic landmarks in multidetector-row computed tomography (MDCT) images. It includes intra- and inter-observer variability, and may result in a variability of THA operation or diagnosis. To reduce the variability of pelvic coordinate system determination, this paper proposes an automated method in MDCT images. The proposed method determines pelvic coordinate system automatically by detecting pelvic landmarks on anterior pelvic plane (APP) from MDCT images. The method calibrates pelvic pose by using silhouette images to suppress the affect of pelvic pose change. As a result of comparing with manual determination, the proposed method determined the coordinate system with a mean displacement of $2.6\;{\pm}\;1.6$ mm and a mean angle error of $0.78\;{\pm}\;0.34$ deg on 5 THA subjects. For changes of pelvic pose position within 10 deg, standard deviation of displacement was 3.7 mm, and of pose was 1.28 deg. We confirmed the proposed method was robust for pelvic pose changes.
Syoji Kobashi,Satoshi Fujimoto,Takayuki Nishiyama,Noriyuki Kanzaki,Takaaki Fujishiro,Nao Shibanuma,Kei Kuramoto,Masahiro Kurosaka,Yutaka Hata 한국지능시스템학회 2010 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.10 No.1
For developing navigation system of total hip arthroplasty (THA) and evaluating hip joint kinematics, 3-D pose position of the femur and acetabulum in the pelvic coordinate system has been quantified. The pelvic coordinate system is determined by manually indicating pelvic landmarks in multidetector-row computed tomography (MDCT) images. It includes intra- and inter-observer variability, and may result in a variability of THA operation or diagnosis. To reduce the variability of pelvic coordinate system determination, this paper proposes an automated method in MDCT images. The proposed method determines pelvic coordinate system automatically by detecting pelvic landmarks on anterior pelvic plane (APP) from MDCT images. The method calibrates pelvic pose by using silhouette images to suppress the affect of pelvic pose change. As a result of comparing with manual determination, the proposed method determined the coordinate system with a mean displacement of 2.6 ± 1.6 mm and a mean angle error of 0.78 ± 0.34 deg on 5 THA subjects. For changes of pelvic pose position within 10 deg, standard deviation of displacement was 3.7 mm, and of pose was 1.28 deg. We confirmed the proposed method was robust for pelvic pose changes.
Fuzzy Logic in Trans-Skull Ultrasonic Imaging System
Yutaka Hata,Syoji Kobashi,Toshio Yanagida 한국지능시스템학회 2010 한국지능시스템학회 학술발표 논문집 Vol.20 No.2
This paper describes a fuzzy logic approach to image a brain surface and skull from arbitrary places. This paper first describes a trans-skull sonography system that can visualize the shape of the skull and brain surface from any point to examine skull fracture and some brain diseases. We employ fuzzy signal processing to determine the skull and brain surface. Two human subjects’ foreheads are applied in our system. The all shapes of the skin surface, skull surface, skull bottom, and brain tissue surface are successfully determined. Second, we consider a ultrasonic refraction of the skull to image brain sulcus. We do an experiment by using a cow scapula to imitate the skull bone and a biological phantom to imitate the cerebral sulcus. We calculate the refractive angle of ultrasonic wave and visualize the image considering the refraction of ultrasonic wave. In the result of applying our method, we can estimate the thickness of scapula at all points, and successfully visualize the phantom surface image.