Error compensation method for improving the accuracy of biomodels obtained from CBCT data.
This paper presents a method of improving the accuracy of the tridimensional reconstruction of human bone biomodels by means of tomography, with a view to finite element modelling or surgical planning, and the subsequent manufacturing using rapid prototyping technologies. It is focused on the analysis and correction of the results obtained by means of cone beam computed tomography (CBCT), which is used to digitalize non-superficial biological parts along with a gauge part with calibrated dimensions. A correction of both the threshold and the voxel size in the tomographic images and the final reconstruction is proposed. Finally, a comparison between a reconstruction of a gauge part using the proposed method and the reconstruction of that same gauge part using a standard method is shown. The increase in accuracy in the biomodel allows an improvement in medical applications based on image diagnosis, more accurate results in computational modelling, and improvements in surgical planning in situations in which the required accuracy directly affects the procedure's results. Thus, the subsequent constructed biomodel will be affected mainly by dimensional errors due to the additive manufacturing technology utilized, not because of the 3D reconstruction or the image acquisition technology.
Department of Design and Manufacturing Engineering, Universidad de Zaragoza, María de Luna 3, 50018 Zaragoza, Spain. Electronic address: jsmazo@unizar.es.
J
J
Santolaria
Centro Universitario de la Defensa, A.G.M. Ctra. Huesca s/n, 50090 Zaragoza, Spain.
R
R
Jiménez
Department of Design and Manufacturing Engineering, Universidad de Zaragoza, María de Luna 3, 50018 Zaragoza, Spain.
M
M
Rada
Clínica Loscos, Plaza Diego Velázquez no. 2, 50006 Zaragoza, Spain.
F
F
Loscos
D054893:Cone-Beam Computed Tomography; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D012107:Research Design
Accuracy; Biomodel; Cone beam computed tomography; Error compensation; Rapid prototyping; Surgical planning