Generation of smooth and accurate surface models for surgical planning and simulation

Tobias Moench; Mathias Neugebauer; Peter Hahn; Bernhard Preim

doi:10.1117/12.844235

23 February 2010 Generation of smooth and accurate surface models for surgical planning and simulation

Tobias Moench, Mathias Neugebauer, Peter Hahn, Bernhard Preim

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76252G (2010) https://doi.org/10.1117/12.844235
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Surface models from medical image data (intensity, binary) are used for evaluating spatial relationships for intervention or radiation treatment planning. Furthermore, surface models are employed for generating volume meshes for simulating e.g. tissue deformation or blood flow. In such applications, smoothness and accuracy of the models are essential. These aspects may be influenced by image preprocessing, the mesh generation algorithm and mesh postprocessing (smoothing, simplification). Thus, we evaluated the influences of different image preprocessing methods (Gaussian smoothing, morphological operators, shape-based interpolation), model generation (Marching Cubes, Constrained Elastic Surface Nets, MPU Implicits) and mesh postprocessing to intensity and binary data with respect to its application within surgical planning and simulation. The resulting surface meshes are evaluated regarding their smoothness, accuracy and mesh quality. We consider the local curvature, equi-angle skewness, (Hausdorff) distances between two meshes (before and after processing), and volume preservation as measures. We discuss these results concerning their suitability for different applications in the field of surgical planning as well as finite element simulations and make recommendations on how to receive smooth and accurate surface meshes for exemplary cases.

Citation Download Citation

Tobias Moench, Mathias Neugebauer, Peter Hahn, and Bernhard Preim "Generation of smooth and accurate surface models for surgical planning and simulation", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76252G (23 February 2010); https://doi.org/10.1117/12.844235

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available