ACS Applied Computer Science

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MEDICAL IMAGING AND 3D RECONSTRUCTION FOR OBTAINING THE GEOMETRICAL AND PHYSICAL MODEL OF A CONGENITAL BILATERAL RADIO-ULNAR SYNOSTOSIS

The paper presents results of a 3D reconstruction of a congenital bilateral radio-ulnar synostosis. Basics of anatomy and biomechanical analysis of the elbow joint were introduced. Case report of a congenital bilateral radio-ulnar synostosis was presented. Based on the data from computed tomography imaging, the model of a congenital bilateral radio-ulnar synostosis was constructed. Basic information on reverse engineering, rapid prototyping and methods of making physical models are presented. The creation of physical models was aimed at pre-operative planning and conceptualization. Physical models were also used in the educational form at the stage of communication with the patient.
  • APA 6th style
Karpiński, R., Jonak, J., & Maksymiuk, J. (2018). Medical imaging and 3D reconstruction for obtaining the geometrical and physical model of a congenital bilateral radio-ulnar synostosis. Applied Computer Science, 14(1), 84-93. doi:10.23743/acs-2018-08
  • Chicago style
Karpiński, Robert, Józef Jonak, and Jacek Maksymiuk. "Medical Imaging and 3d Reconstruction for Obtaining the Geometrical and Physical Model of a Congenital Bilateral Radio-Ulnar Synostosis." Applied Computer Science 14, no. 1 (2018): 84-93.
  • IEEE style
Karpiński R, Jonak J, Maksymiuk J. Medical imaging and 3D reconstruction for obtaining the geometrical and physical model of a congenital bilateral radio-ulnar synostosis. Applied Computer Science. 2018;14(1):84-93.
  • Vancouver style
Czarnecka A, Sobaszek Ł, Świć A. 2D image-based industrial robot end effector trajectory control algorithm. Applied Computer Science. 2018;14(1):73-83.