Author/Editor     Berce, M; Miklavčič, L; Pišot, V; Noe, D; Duhovnik, J
Title     Natančnost prenosa geometrije iz računalniškega tomografa v sistem za računalniško podprto konstruiranje
Translated title     Accuracy of geometry conversion from CT to CAD system
Type     članek
Source     In: Zajc B, editor. Zbornik 7. elektrotehniške in računalniške konference ERK'98. Zvezek B. Računalništvo in informatika, umetna inteligenca, robotika, razpoznavanje vzorcev, biomedicinska tehnika, močnostna elektrotehnika, didaktika, študentski članki; 1998 sep 24-26; Portorož. Ljubljana: Slovenska sekcija IEEE,
Publication year     1998
Volume     str. 351-4
Language     slo
Abstract     Recent development in Medical Imaging, Computer Aided Design and Rapid Prototyping gamma Manufacturing has opened new possibilities in design and production of medical implants, especially custom made. The design of custom made implants is based on the geometry of the patient in question. The main problem is the exact transformation of human anatomy scanned with Medical Imaging systems into points, curves or surfaces in Computer Aided Design systems. We use Computed Tomography Spiral scanning technique to obtain a bone or joint virtual model in CAD system. We have defined the relations between the control parameters which influence the CT image quality, thus we are able to convert and importa data into CAD system to design a bone or a joint model there. Our main question at this point of research is: What is accuracy of the virtual model in CAD system compared with the scanned human anatomy? Because of this we have decided to scan a human humerus with two different techniques. For the first model we used Video Laser scanning technique and for the second CT Spiral scanning technique. In this way we have obtained two sets of data of the same bone. We generated two virtual models in CAD system. The model made from video laser set of data represents the real gemoetry of the bone. We compared the differences in shape between two models and defined the accuracy of the CT model on this basis. In the begining of our research we do not want to X-ray the patient so we used the human humerus. We immersed the humerus in the solution which had the same attenuation of X-rays as the attenuationof the soft tissue. In this way we obtained the same contrast as is the contrast between the bone and soft tissue. We can scan the humerus as many times as we want which is not the case with the patient. The article is presenting the way we obtained the raw data, the technique of the generation of bone models and the way we compared them.(Abstract truncated at 2000 characters.)
Descriptors     TOMOGRAPHY, X-RAY COMPUTED
IMAGE PROCESSING, COMPUTER-ASSISTED
HUMERUS