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The main objective of this research was to determine the deviations and evaluate the dimensional accuracy of 3D printed camera casing models compared to the original models in the STL format. The study sample consisted of the 3D printed camera casing models and the same models in the STL format. The STL format came from Mcor in a set of sample models shipped with the 3D printer. The models were 3D printed on Mcor IRIS and then scanned with ATOS 3D scanner. A comparison between the scanned and original STL models was made in the GOM Inspect software. The results indicate that the maximum deviation occurred on the scanned front camera cover and it is 0.82 mm in the direction z. The average deviation of scanned front camera cover is 0.0845 mm and the average deviation of scanned back camera cover is 0.0722 mm. The analysis of the results proves that the three-dimensional printed paper-based parts have the dimensions close to the original CAD models. References[1] Farzadi, A., Waran, V., Solati-Hashjin, M., Rahman, Z.A.A., Asadi, M., Osman, N.A.A. (2015). Effect of layer printing delay on mechanical properties and dimensional accuracy of 3D printed porous prototypes in bone tissue engineering, Ceramics International, Vol. 41, No. 7, 8320-8330, doi: 10.1016/j.ceramint.2015 Farzadi, A., Solati-Hashjin, M., Asadi-Eydivand, M., Abu Osman, N.A., (2014). Effect of layer thickness and printing orientation on mechanical properties and dimensional accuracy of 3D printed porous samples for bone tissue engineering,

With a goal to evaluate accuracy of kidney stone models created from medical images, comparison of computer-generated models against 3D scanned model is performed. Computer-generated models are made using 6 free and one commercial software for medical images obtained by computed tomography (CT) with a slice thickness of 5 mm. Digitized volume of the same kidney stone was obtained after its surgical removal and digitized using a contactless 3D scanner ATOS Compact Scan. Due to the complexity of kidney stone, the scanned reference model is not completely identical to real surgically removed stone from a patient. High maximum deviation is positioned mainly in the areas where the actual kidney stone is not scanned. The average surface deviation is in the range of 0.24354 mm to 0.44719 mm. Results reveals that the accuracy of the computer-generated models depends on quality of algorithms for tissue segmentation implemented in a particular software and on the skill of user. All software enabled us to create a 3D model of the kidney with clearly visible position of a kidney stone inside, accurate enough for planning the operation. It is possible to get a higher model accuracy by reducing the slice thickness during medical imaging; however, it increases the dose of radiation. Therefore, it is necessary to individually determine the optimum balance between the required quality of images and the amount of radiation that the patient is exposed to during recording.

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