An improved system for 3D individualized modeling of the artificial femoral head

被引:0
|
作者
Bin Liu
Xianyong Jia
Zhihuan Huang
Haojie Li
机构
[1] Dalian University of Technology,Department of Digital Media Technology
来源
The Visual Computer | 2013年 / 29卷
关键词
Femoral head; Individualized modeling; 3D reconstruction; Reverse engineering;
D O I
暂无
中图分类号
学科分类号
摘要
The matching quality between the femoral head prosthesis and the acetabulum plays an important role in the operative treatment of the artificial femoral head replacement. In order to obtain a more accurate model of the femoral head prosthesis for the target sufferer, an improved individualized modeling system was presented in this paper. It was different from our previous system based on the sphere fitting method. This new system could reconstruct a more accurate ellipsoid model of the femoral head for the target sufferer. It could recover the necrotic femoral heads into the satisfactory models. These models could well match with the acetabulums. This improved system afforded a theoretical model for the accurate surgical position fixing in the orthopaedic clinic. And this system also provided an innovative practical means for the individualized modeling and manufacture of the artificial femoral head prosthesis.
引用
收藏
页码:1259 / 1267
页数:8
相关论文
共 50 条
  • [41] Digital 3D system for classifying fabric pilling based on improved active contours and neural network
    Mingzhu Fan
    Lulu Liu
    Na Deng
    Binjie Xin
    Yiliang Wang
    Yan He
    The Visual Computer, 2023, 39 : 5085 - 5095
  • [42] Digital 3D system for classifying fabric pilling based on improved active contours and neural network
    Fan, Mingzhu
    Liu, Lulu
    Deng, Na
    Xin, Binjie
    Wang, Yiliang
    He, Yan
    VISUAL COMPUTER, 2023, 39 (10): : 5085 - 5095
  • [43] 3D mug shot-3D head models from photogrammetry for forensic identification
    Leipner, Anja
    Obertova, Zuzana
    Wermuth, Martin
    Thali, Michael
    Ottiker, Thomas
    Sieberth, Till
    FORENSIC SCIENCE INTERNATIONAL, 2019, 300 : 6 - 12
  • [44] Enhanced Stereovision Processing for Improved 3D Object Reconstruction
    Mansi, Antony
    Hussein, Walid
    2018 INTERNATIONAL CONFERENCE ON SENSORS, SIGNAL AND IMAGE PROCESSING (SSIP 2018), 2018, : 73 - 81
  • [45] Improved 3D reconstruction method based on the Scheimpflug principle
    Zhang, Yong
    Wang, Yunfei
    Qian, Yucheng
    Liu, Shanlin
    OPTICAL REVIEW, 2020, 27 (03) : 283 - 289
  • [46] Improved 3D reconstruction method based on the Scheimpflug principle
    Yong Zhang
    Yunfei Wang
    Yucheng Qian
    Shanlin Liu
    Optical Review, 2020, 27 : 283 - 289
  • [47] Improved Lightweight Deep Learning Algorithm in 3D Reconstruction
    Zhang, Tao
    Cao, Yi
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (03): : 5315 - 5325
  • [48] The Improved Light Field Depth Image and 3D Reconstruction
    Fang, Kui
    He, Xiao
    Yu, Hexiang
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (05)
  • [49] 3D ECT reconstruction by an improved Landweber iteration algorithm
    Yan, Hua
    Wang, Yi Fan
    Zhou, Ying Gang
    Sun, Yan Hui
    FLOW MEASUREMENT AND INSTRUMENTATION, 2014, 37 : 92 - 98
  • [50] An Improved Method for Feature Point Matching in 3D Reconstruction
    Wang, Zhongren
    Quan, Yanming
    ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1, 2008, : 159 - +