Efficient Generation of 3D Lumbar Spine Models: An Anatomy-Driven Approach with Limited Input Parameters
Author:
Affiliation:
1. Institute for Computational Visualistics, University of Koblenz,Active Vision Group,Germany
2. Institute of Medical Technology and Information Processing, University of Koblenz,Koblenz,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278502/10278578/10278898.pdf?arnumber=10278898
Reference23 articles.
1. Automatic Vertebrae Segmentation in MR Volumes
2. Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting
3. Chapter 5 the geometry and shape of the human intervertebral disc;eijkelkamp;International Journal of Artificial Organs,2001
4. Automated finite element modeling of the lumbar spine: Using a statistical shape model to generate a virtual population of models
5. Lumbar model generator: a tool for the automated generation of a parametric scalable model of the lumbar spine
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