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

Print

ABSTRACT

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.

FULL TEXT

HOW TO CITE THIS PAPER

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
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.
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.
Czarnecka A, Sobaszek Ł, Świć A. 2D image-based industrial robot end effector trajectory control algorithm. Applied Computer Science. 2018;14(1):73-83.