KEYWORDS: 3D modeling, 3D image processing, Motion models, Image segmentation, Data modeling, 3D acquisition, Visual process modeling, Statistical modeling, Magnetic resonance imaging, Solid modeling
A novel deformable model for 3D surface extraction, called growing
deformable surface patches, is presented in this work. In the
proposed method, a growing mechanism is introduced to 3D deformable model. With the growing framework, the proposed deformable model could achieve topologically adaptable surface extraction by connecting new surface patches with active patches and automated triangulating the square patch in particular situations. A number of experiments demonstrate that the proposed algorithm can extract the surface of complex anatomic structures effectively. Compared with the existing topologically adaptable deformable surfaces, computational cost is reduced because no splitting or merging judgement is carried out among all the vertices in each deformation step. Topologically adaptable detection is achieved by analyzing the possibility of patch connection among the "active" surface patches only.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.