
Proceedings Paper
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Paper Abstract
Statistical shape models play a very important role in most modern medical segmentation frameworks. In this
work we propose an extension to an existing approach for statistical shape model generation based on manual
mesh deformation. Since the manual acquisition of ground truth segmentation data is a prerequisite for shape
model creation, we developed a method that integrates a solution to the landmark correspondence problem in
this particular step. This is done by coupling a user guided mesh adaptation for ground truth segmentation with
a simultaneous real time optimization of the mesh in order to preserve point correspondences. First, a reference
model with evenly distributed points is created that is taken as the basis of manual deformation. Afterwards
the user adapts the model to the data set using a 3D Gaussian deformation of varying stiffness. The resulting
meshes can be directly used for shape model construction. Furthermore, our approach allows the creation of shape
models of arbitrary topology. We evaluate our method on CT data sets of the kidney and 4D MRI time series
images of the cardiac left ventricle. A comparison with standard ICP-based and population-based optimization
based correspondence algorithms showed better results both in terms of generalization capability and specificity
for the model generated by our approach. The proposed method can therefore be used to considerably speed
up and ease the process of shape model generation as well as remove potential error sources of landmark and
correspondence optimization algorithms needed so far.
Paper Details
Date Published: 12 March 2010
PDF: 9 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234Y (12 March 2010); doi: 10.1117/12.844382
Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)
PDF: 9 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234Y (12 March 2010); doi: 10.1117/12.844382
Show Author Affiliations
Stefan Wesarg, Technische Univ. Darmstadt (Germany)
Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)
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