3D-printed canine tibia model from clinical computed tomography data

  1. Fátima Somovilla-Gómez 1
  2. Saúl Iñiguez-Macedo 1
  3. Eduardo Jiménez-Ruiz 2
  4. Laura Muro-Fraguas 1
  5. Gonzalo Gañán-Catalina 1
  6. Álvaro Leciñana-Soldevilla 1
  7. Marina Corral-Bobadilla 1
  8. Carmen Díaz-Bertrana-Sánchez 3
  9. Rubén Lostado-Lorza 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad Pública de Navarra
    info

    Universidad Pública de Navarra

    Pamplona, España

    ROR https://ror.org/02z0cah89

  3. 3 Universitat Autònoma de Barcelona
    info

    Universitat Autònoma de Barcelona

    Barcelona, España

    ROR https://ror.org/052g8jq94

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Libro:
Advances in Design Engineering: proceedings of the XXIX International Congress INGEGRAF. 20-21 June 2019, Logroño, Spain
  1. Francisco Cavas-Martínez (dir. congr.)
  2. Félix Sanz-Adan (dir. congr.)
  3. Paz Morer Camo (dir. congr.)
  4. Ruben Lostado Lorza (dir. congr.)
  5. Jacinto Santamaría Peña (dir. congr.)

Editorial: Springer International Publishing AG

ISBN: 3-030-41199-0,  3-030-41200-8

Año de publicación: 2020

Páginas: 254-262

Congreso: Congreso Internacional de Ingeniería Gráfica (INGEGRAF) (29. 2019. Logroño)

Tipo: Aportación congreso

DOI: 10.1007/978-3-030-41200-5_28 DIALNET GOOGLE SCHOLAR

Resumen

The goal of this study is to show the process for obtaining a 3D model of a canine tibia using free software from clinical quality computed tomography (CT) images. In this case, the obtained model was used for generating a computer simulation with the Finite Element Method (FEM) and for generating a 3D printed canine tibia. First, a real canine tibia was scanned in order to generate Dicom (Digital Imaging and Communication on Medicine) CT images. Using the open source 3D Slicer, the Dicom CT images, the cortical and trabecular bones were segmented to construct to build a first 3D tibia model. The defects of this first 3D model were examined, and its surfaces were smoothed using open source MeshMixer software. Subsequently, the smoothed 3D tibia model was exported to STL file (Standard Triangle Language), and then imported to Mentat-Marc FEM software in which uniform tetrahedral elements meshes for the trabecular and cortical bones were generated. These 3D meshes were used to develop a Finite Element Analysis for studying the mechanical stiffness of the tibia. Also, the stl file obtained was imported to the Wanhao cura v.18.04 software, and the G-code file were created. Finally, a 3D canine tibia model was printed in a Wanhao Duplicator 6 3D printer with ivory-colored PLA. This 3D printed model was used for later for educational training.

Fuente de los datos: Dialnet