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Creating high quality models of the skull using iterative modelling and area of interests

用利息的反复的建模和区域创造颅骨的高质量的模型

作     者:Däuber, S. Eggers, G. Krempien, R. Mende, U. Welzel, T. Hassfeld, St. Wörn, H. 

作者机构:Institute for Process Control Robotics University of Karlsruhe (TH) Kaiserstraße 12 76128 Karlsruhe Germany Department of Oral Maxillofacial Surgery University of Heidelberg Im Neuenheimer Feld 400 69120 Heidelberg Germany Department of Clinical Radiology University of Heidelberg Im Neuenheimer Feld 400 69120 Heidelberg Germany 

出 版 物:《International Congress Series》 (Int. Congr. Ser.)

年 卷 期:2003年第1256卷第C期

页      面:747-751页

学科分类:1002[医学-临床医学] 07[理学] 08[工学] 

主  题:Mesh optimization Mesh processing Mesh simplification Mesh smoothing 

摘      要:Three-dimensional models of the patient s anatomy are the basis for modern applications in computer-assisted surgery or radiology. In order to create these models, the data are processed in a series of steps that transforms the initial raw data (CT/MRT volume images) into the three-dimensional models (triangle meshes). Most common processing includes segmentation, contouring, decimating and mesh relaxation. Especially decimating and mesh relaxation can strongly effect the accuracy of the models, however, these steps are necessary to ensure interactivity (low amount of triangles for visualization speed) and to reduce staircase artefacts (due to the rectangular voxels of the underlying CT-data). In this work, we show that an iterative and alternating decimating and mesh relaxation can produce more accurate models than the usual single step processing. We also present an Area-of-Interest (AOI)-concept, with which we can achieve further improvements of the models in critical areas, e.g. near the intervention situs. © 2003, Elsevier Science B.V. All rights reserved.

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