• 제목/요약/키워드: Fusion Model

검색결과 953건 처리시간 0.026초

Biomechanical Analysis of Biodegradable Cervical Plates Developed for Anterior Cervical Discectomy and Fusion

  • Cho, Pyung Goo;Ji, Gyu Yeul;Park, Sang Hyuk;Shin, Dong Ah
    • Asian Spine Journal
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    • 제12권6호
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    • pp.1092-1099
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    • 2018
  • Study Design: In-vitro biomechanical investigation. Purpose: To evaluate the biomechanical effects of the degeneration of the biodegradable cervical plates developed for anterior cervical discectomy and fusion (ACDF) on fusion and adjacent levels. Overview of Literature: Biodegradable implants have been recently introduced for cervical spine surgery. However, their effectiveness and safety remains unclear. Methods: A linear three-dimensional finite element (FE) model of the lower cervical spine, comprising the C4-C6 vertebrae was developed using computed tomography images of a 46-year-old woman. The model was validated by comparison with previous reports. Four models of ACDF were analyzed and compared: (1) a titanium plate and bone block (Tita), (2) strong biodegradable plate and bone block (PLA-4G) that represents the early state of the biodegradable plate with full strength, (3) weak biodegradable plate and bone block (PLA-1G) that represents the late state of the biodegradable plate with decreased strength, and (4) stand-alone bone block (Bloc). FE analysis was performed to investigate the relative motion and intervertebral disc stress at the surgical (C5-C6 segment) and adjacent (C4-C5 segment) levels. Results: The Tita and PLA-4G models were superior to the other models in terms of higher segment stiffness, smaller relative motion, and lower bone stress at the surgical level. However, the maximal von Mises stress at the intervertebral disc at the adjacent level was significantly higher in the Tita and PLA-4G models than in the other models. The relative motion at the adjacent level was significantly lower in the PLA-1G and Bloc models than in the other models. Conclusions: The use of biodegradable plates will enhance spinal fusion in the initial stronger period and prevent adjacent segment degeneration in the later, weaker period.

Restoring Turbulent Images Based on an Adaptive Feature-fusion Multi-input-Multi-output Dense U-shaped Network

  • Haiqiang Qian;Leihong Zhang;Dawei Zhang;Kaimin Wang
    • Current Optics and Photonics
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    • 제8권3호
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    • pp.215-224
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    • 2024
  • In medium- and long-range optical imaging systems, atmospheric turbulence causes blurring and distortion of images, resulting in loss of image information. An image-restoration method based on an adaptive feature-fusion multi-input-multi-output (MIMO) dense U-shaped network (Unet) is proposed, to restore a single image degraded by atmospheric turbulence. The network's model is based on the MIMO-Unet framework and incorporates patch-embedding shallow-convolution modules. These modules help in extracting shallow features of images and facilitate the processing of the multi-input dense encoding modules that follow. The combination of these modules improves the model's ability to analyze and extract features effectively. An asymmetric feature-fusion module is utilized to combine encoded features at varying scales, facilitating the feature reconstruction of the subsequent multi-output decoding modules for restoration of turbulence-degraded images. Based on experimental results, the adaptive feature-fusion MIMO dense U-shaped network outperforms traditional restoration methods, CMFNet network models, and standard MIMO-Unet network models, in terms of image-quality restoration. It effectively minimizes geometric deformation and blurring of images.

뇌 종양 등급 분류를 위한 심층 멀티모달 MRI 통합 모델 (Deep Multimodal MRI Fusion Model for Brain Tumor Grading)

  • 나인예;박현진
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.416-418
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    • 2022
  • 신경교종(glioma)은 신경교세포에서 발생하는 뇌 종양으로 low grade glioma와 예후가 나쁜 high grade glioma로 분류된다. 자기공명영상(magnetic Resonance Imaging, MRI)은 비침습적 수단으로 이를 이용한 신경교종 진단에 대한 연구가 활발히 진행되고 있다. 또한, 단일 modality의 정보 한계를 극복하기 위해 다중 modality를 조합하여 상호 보완적인 정보를 얻는 연구도 진행되고 있다. 본 논문은 네가지 modality(T1, T1Gd, T2, T2-FLAIR)의 MRI 영상에 입력단 fusion을 적용한 3D CNN 기반의 모델을 제안한다. 학습된 모델은 검증 데이터에 대해 정확도 0.8926, 민감도 0.9688, 특이도 0.6400, AUC 0.9467의 분류 성능을 보였다. 이를 통해 여러 modality 간의 상호관계를 학습하여 신경교종의 등급을 효과적으로 분류함을 확인하였다.

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원통 모델과 스테레오 카메라를 이용한 포즈 변화에 강인한 얼굴인식 (Pose-invariant Face Recognition using a Cylindrical Model and Stereo Camera)

  • 노진우;홍정화;고한석
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권7호
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    • pp.929-938
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    • 2004
  • 본 논문에서는 원통모델과 스테레오 카메라를 이용하여 대상의 포즈 변화에 강인한 얼굴인식 방법을 제안한다. 입력으로 하나의 영상을 취할 수 있는 경우와 스테레오 영상을 취할 수 있는 경우의 두 가지로 나누어 다룬다. 단일 입력 영상인 경우 정면이 아닌 입력 영상에 대하여 원통 모델을 이용하여 좌우방향(yaw)으로 포즈를 보상하고, 스테레오 입력 영상인 경우 스테레오 기하학을 이용하여 예측된 상하방향(pitch) 포즈로 대상의 상하 변화까지 보상한다. 또한 스테레오 카메라를 통하여 동시에 두 개의 영상을 얻는다는 장점이 있기 때문에 결정 단계 융합(decision-level fusion) 방법을 이용하여 전체적인 인식률을 향상시킨다. 실험 결과, 좌우 포즈 변환을 통하여 인식률이 61.43%에서 94.76%로 향상되었음을 볼 수 있었고, 보다 복잡한 3차원 얼굴 모델과의 비교 결과 인식률이 양호함을 확인할 수 있었다. 또한 스테레오 카메라 시스템을 이용하여 얼굴이 위로 향한 영상일 경우 5.24%의 인식률을 향상시켰고, 결정 단계융합에 의해 추가로 3.34%의 인식률을 향상시킬 수 있었다.

돌기 접촉 모델과 평균 유동 분석을 이용한 딤플 패턴의 윤활 특성에 관한 연구 (A study on lubrication Properties of a Dimple Pattern using an Average Flow Analysis with a Contact Model of Asperities)

  • 김미루;이승준;리량;이득우
    • 한국기계가공학회지
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    • 제15권6호
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    • pp.41-49
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    • 2016
  • To evaluate lubrication properties by surface roughness under boundary and mixed lubrication, a new approach is suggested by both asperity flow and contact with stochastic characteristics. Many researchers already have studied the effect of surface roughness on flow. But, it has become important to research of the phenomenon of asperities contact in surfaces because the growth of asperities contact area under heavy load conditions. In this paper, flow factors in the average flow model derived by Patir and Cheng were used, and a multi-asperity contact model was included to calculate lubrication properties of a surface with a randomly generated rough surface. A numerical analysis using the average Reynolds equation with both the average flow model and the asperity contact model was conducted, and the results were compared with those from previous research. The results showed that the influence of asperities on lubrication and the friction coefficient changed rapidly on application of contact model.

A Model reference adaptive speed control of marine diesel engine by fusion of PID controller and fuzzy controller

  • Yoo, Heui-Han
    • Journal of Advanced Marine Engineering and Technology
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    • 제30권7호
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    • pp.791-799
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    • 2006
  • The aim of this paper is to design an adaptive speed control system of a marine diesel engine by fusion of hard computing based proportional integral derivative (PID) control and soft computing based fuzzy control methods. The model of a marine diesel engine is considered as a typical non oscillatory second order system. When its model and the actual marine diesel engine ate not matched, it is hard to control the speed of the marine diesel engine. Therefore, this paper proposes two methods in order to obtain the speed control characteristics of a marine diesel engine. One is an efficient method to determine the PID control parameters of the nominal model of a marine diesel engine. Second is a reference adaptive speed control method that uses a fuzzy controller and derivative operator for tracking the nominal model of the marine diesel engine. It was found that the proposed PID parameters adjustment method is better than the Ziegler & Nichols' method, and that a model reference adaptive control is superior to using only PID controller. The improved control method proposed here, could be applied to other systems when a model of a system does not match the actual system.

데이터 퓨전을 이용한 얼굴영상 인식 및 인증에 관한 연구 (2D Face Image Recognition and Authentication Based on Data Fusion)

  • 박성원;권지웅;최진영
    • 한국지능시스템학회논문지
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    • 제11권4호
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    • pp.302-306
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    • 2001
  • 얼굴인식은 이미지의 많은 변동(표정, 조명, 얼굴의 방향 등)으로 인해 한 가지 인식 방법으로는 높은 인식률을 얻기 어렵다. 이러한 어려움을 해결하기 위해, 여러 가지 정보를 융합시키는 데이터 퓨전 방법이 연구되었다. 기존의 데이터 퓨전 방법은 보조적인 생체 정보(지문, 음성 등)를 융합하여 얼굴인식기를 보조하는 방식을 취하였다. 이 논문에서는 보조적인, 생체 정보를 사용하지 않고, 기존의 얼굴인식방법을 통해 얻어지는 상호보완적인 정보를 융합하여 사용하였다. 개별적인 얼굴인식기의 정보를 융합하기 위해, 전체적으로는 Dempster-Shafer의 퓨전이론에 근거하면서, 핵심이 되는 질량함수를 새로운 방식으로 재정의학 퓨전모델을 제안하였다. 제안된 퓨전모델을 사용하여 개별적인 얼굴인식기의 정보를 융합한 결과, 보조적인 생체정보 없이, 개별적인 얼굴인식기보다 나은 인식률을 얻을 수 있었다.

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생쥐 원형정자세포의 미세주입에 의한 수정 (Fertilization by Microinjection of Mouse Round Spermatid)

  • 이상민;백청순;구덕본;김묘경;김진회;박흠대;이훈택;정길생
    • 한국가축번식학회지
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    • 제19권3호
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    • pp.171-179
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    • 1995
  • This study was carried out to investigate the fertilizing ability of round spematids isolated from seminiferous tubules. A round spermatid was introduced into the perivitelline space of a mature oocyte using Leitz micromanipulators and then subjected to electrofusion. Electrofusion was induced by applying a single DC pulse of 90V with a duration of 60$\mu$sec using Model 611 Square Wave Stimulator(Phipps and Bird, U.S.A) in 0.3 M sucrose fusion medium containing 0.05mM CaCl2 and 0.1mM MgSO4, Oocyte pre-activation was conducted by exposure to a single DC(80V, 80$\mu$sec) pulse in electrofusion medium at 1 hour before electrofusion. The incidence of fusion with pre-activated oocytes(23.8%, 57/239) was higher than that with nonactivated oocytes(6.7%, 3/45). The most of electro-stimulated mouse oocytes cleaved regardless of the success or failure of fusion. Karyotyping of embryos that developed into blastocysts after exposure to the fusion pulse were performe. We found that blastocysts from the fused oocytes were diploid whereas blastocysts from the unfused oocytes were haploid. About 11.7 and 11.5% of fused and unfused oocytes were developmental potentials of fused and unfused oocytes. Therefore, these results suggest that the mouse mture oocyte can be fertilized by fusion with a round spermtid and subsequently developed normally.

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Narrow Gap 맞대기 TIG 용접에서 생산성 향상을 위한 연구 (A Study on Productivity Improvement in Narrow Gap TIG Welding)

  • 전재호;김성률;조상명
    • Journal of Welding and Joining
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    • 제34권1호
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    • pp.68-74
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    • 2016
  • Adoption of narrow gap welding shall be increased for the butt joint of thick plate, because the deformation and welding cost is reduced by decrease of cross-sectional area. However, sometimes narrow gap causes defects such as lack of fusion since it has small groove angle and narrow groove width. Therefore, GMAW, GTAW and SAW process shall be adopted to narrow gap welding with small bead hight and low deposition rate. In this study, Super-TIG welding using C-type strip was applied to semi-narrow gap butt joint in order to increase the welding productivity. High deposition rate 10kg/hr was obtained by high current 600A without undercut, humping bead and other welding defects. Measuring the mean and standard deviation of the melting depth to evaluate the developed processes, the fusion line type was determined by measuring the difference between maximum and minium melting depth. Furthermore, a model on arch fusion line and linear fusion line was suggested in order to prevent LF on groove wall in narrow gap butt welding.

척추 융합 수술을 위한 삼차원 척추경 모델을 이용한 자동 수술 계획 시스템 (Automated Surgical Planning System for Spinal Fusion Surgery with Three-Dimensional Pedicle Model)

  • 이종원;김성민;김영수;정완균
    • 제어로봇시스템학회논문지
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    • 제17권8호
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    • pp.807-813
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    • 2011
  • High precision of planning in the preoperative phase can contribute to increase operational safety during computer-aided spinal fusion surgery, which requires extreme caution on the part of the surgeon, due to the complexity and delicacy of the procedure. In this paper, an advanced preoperative planning framework for spinal fusion is presented. The framework is based on spinal pedicle data obtained from CT (Computed Tomography) images, and provides optimal insertion trajectories and pedicle screw sizes. The proposed approach begins with safety margin estimation for each potential insertion trajectory that passes through the pedicle volume, followed by procedures to collect a set of insertion trajectories that satisfy operation safety objectives. The radius of a pedicle screw was chosen as 70% of the pedicle radius. This framework has been tested on 68 spinal pedicles of 8 patients requiring spinal fusion. It was successfully applied, resulting in an average success rate of 100% and a final safety margin of $2.44{\pm}0.51mm$.