3D patient-specific model of the tibia from CT for orthopedic use

被引:10
|
作者
Gonzalez-Carbonell, Raide A. [1 ]
Ortiz-Prado, Armando [2 ]
Jacobo-Armendariz, Victor H. [2 ]
Cisneros-Hidalgo, Yosbel A. [1 ]
Alpizar-Aguirre, Armando [3 ]
机构
[1] Univ Camaguey, Dept Ingn Mecan, Camaguey 74650, Cuba
[2] Univ Nacl Autonoma Mexico, Unidad Invest & Asistencia Tecn Mat, Coyoacan 04510, DF, Mexico
[3] Inst Nacl Rehabil, Tlalpan 14389, DF, Mexico
关键词
Biomechanical modelling; Tibial torsion; FEM; Patient-specific model;
D O I
10.1016/j.jor.2015.01.009
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Objectives: 3D patient-specific model of the tibia is used to determine the torque needed to initialize the tibial torsion correction. Methods: The finite elements method is used in the biomechanical modeling of tibia. The geometric model of the tibia is obtained from CT images. The tibia is modeled as an anisotropic material with non-homogeneous mechanical properties. Conclusions: The maximum stress is located in the shaft of tibia diaphysis. With both meshes are obtained similar results of stresses and displacements. For this patient-specific model, the torque must be greater than 30 Nm to initialize the correction of tibial torsion deformity. Copyright (C) 2015, Professor P K Surendran Memorial Education Foundation. Publishing Services by Reed Elsevier India Pvt. Ltd. All rights reserved.
引用
收藏
页码:11 / 16
页数:6
相关论文
共 50 条
  • [41] Principal direction of inertia for 3D trajectories from patient-specific TMJ movement
    Kim, Dae-Seung
    Choi, Soon-Chul
    Lee, Sam-Sun
    Heo, Min-Suk
    Huh, Kyung-Hoe
    Hwang, Soon-Jung
    Kim, Seong-Ha
    Yi, Won-Jin
    COMPUTERS IN BIOLOGY AND MEDICINE, 2013, 43 (03) : 169 - 175
  • [42] A physically based model to simulate orthopedic surgery from 3D CT image
    Wang, Monan
    Du, Zhijiang
    2007 IEEE/ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING, VOLS 1-4, 2007, : 507 - 512
  • [43] PixelPrint: Generating Patient-Specific Phantoms for Spectral CT using Dual Filament 3D Printing
    Pasyar, Pouyan
    Im, Jessica
    Mei, Kai
    Liu, Leening
    Sandvold, Olivia
    Geagan, Michael
    Noel, Peter B.
    MEDICAL IMAGING 2024: PHYSICS OF MEDICAL IMAGING, PT 1, 2024, 12925
  • [44] Development of 3D printed patient-specific compensator for total body irradiation based on CT images
    Kang, Sang-Won
    Song, Changhoon
    Kim, In Ah
    Kim, Jae-Sung
    Eeom, Keun-Yong
    Chung, Jin-Beom
    Lee, Boram
    Kang, Seonghee
    Cho, Woong
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2023, 83 (03) : 216 - 225
  • [45] Development of an in vitro 3D glioblastoma model system for patient-specific drug response profiling
    DesRochers, Teresa
    Clark, Ashley
    O'Donnell, Lauren
    Guo, Qi
    Holmes, Lillia
    Dobrolecki, Lacey
    Lewis, Michael
    Schammel, David
    Edenfield, Jeff
    Kanos, Charles
    Nelson, Fred
    Gardner, Steve
    Lynn, Michael
    Hodge, Philip
    Corless, Christopher
    Clark, Paul
    Crosswell, Hal E.
    Kuo, John
    CANCER RESEARCH, 2017, 77
  • [46] 3D Patient-Specific Biomechanical Model of the Tongue for the Management of Tongue Tumors: Conceptualization to Reality
    Sinha, Piyush
    Bylapudi, Bhanu Prakash
    Puranik, Prashant
    Subash, Anand
    Rao, Vishal
    MEDICAL BULLETIN OF SISLI ETFAL HOSPITAL, 2022, 56 (04): : 559 - 563
  • [47] Continuum model for flow diverting stents in 3D patient-specific simulation of intracranial aneurysms
    Li, Sha
    Chopard, Bastien
    Latt, Jonas
    JOURNAL OF COMPUTATIONAL SCIENCE, 2019, 38
  • [48] A rapid and intelligent designing technique for patient-specific and 3D-printed orthopedic cast
    Hui Lin
    Lin Shi
    Defeng Wang
    3D Printing in Medicine, 2 (1)
  • [49] Pancreas segmentation from 3D abdominal CT images using patient-specific weighted-subspatial probabilistic atlases
    Karasawa, Kenichi
    Oda, Masahiro
    Hayashi, Yuichiro
    Nimura, Yukitaka
    Kitasaka, Takayuki
    Misawa, Kazunari
    Fujiwara, Michitaka
    Rueckert, Daniel
    Mori, Kensaku
    MEDICAL IMAGING 2015: IMAGE PROCESSING, 2015, 9413
  • [50] Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images
    Ding, Yuzhen
    Holmes, Jason M.
    Feng, Hongying
    Li, Baoxin
    Mcgee, Lisa A.
    Rwigema, Jean-Claude M.
    Vora, Sujay A.
    Wong, William W.
    Ma, Daniel J.
    Foote, Robert L.
    Patel, Samir H.
    Liu, Wei
    COMMUNICATIONS MEDICINE, 2024, 4 (01):