Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations

作者: Jan Ehrhardt , Heinz Handels , Bernd Strathmann , Thomas Malina , Werner Plötz

DOI: 10.1007/978-3-540-39899-8_3

关键词:

摘要: This paper describes methods for the atlas-based segmentation of bone structures hip, automatic detection anatomical point landmarks and computation orthopedic parameters. An atlas was designed to replace interactive, time-consuming pre-processing steps needed virtual planning hip operations. Furthermore, a non-linear gray value registration CT data is used recognize different hip. A surface based algorithm enables robust precise landmarks. Furthermore determination quantitative parameters, like angles, distances or sizes contact areas, important Based on segmented detected algorithms parameters were implemented. first evaluation presented will be given at end paper.

参考文章(8)
Sönke Frantz, Karl Rohr, H. Siegfried Stiehl, Improving the Detection Performance in Semi-automatic Landmark Extraction medical image computing and computer assisted intervention. pp. 253- 262 ,(1999) , 10.1007/10704282_28
Mathieu Desbrun, Mark Meyer, Peter Schröder, Alan H. Barr, Implicit fairing of irregular meshes using diffusion and curvature flow international conference on computer graphics and interactive techniques. pp. 317- 324 ,(1999) , 10.1145/311535.311576
Per Rønsholt Andresen, Mads Nielsen, Non-rigid registration by geometry-constrained diffusion Medical Image Analysis. ,vol. 5, pp. 81- 88 ,(2001) , 10.1016/S1361-8415(00)00036-0
J. Ehrhardt, H. Handels, S.J. Pöppl, Atlas-based determination of anatomical landmarks to support the virtual planning of hip operations computer assisted radiology and surgery. ,vol. 1256, pp. 99- 104 ,(2003) , 10.1016/S0531-5131(03)00299-1
J.-P. Thirion, Image matching as a diffusion process: an analogy with Maxwell's demons Medical Image Analysis. ,vol. 2, pp. 243- 260 ,(1998) , 10.1016/S1361-8415(98)80022-4
William J. Schroeder, Kenneth M. Martin, The visualization toolkit ,(1996)