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MICCAI
2001
Springer
13 years 12 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
ISBI
2004
IEEE
14 years 8 months ago
Hierarchical Segmentation of Multiple Sclerosis Lesions in Multi-Sequence MRI
Automatic segmentation of multiple sclerosis lesions in magnetic resonance images remains a challenging task. In this study, we present a fully automatic method to extract lesions...
Guillaume Dugas-Phocion, Miguel Ángel Gonz&...
CVRMED
1997
Springer
13 years 11 months ago
Medical image segmentation using topologically adaptable surfaces
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...
Tim McInerney, Demetri Terzopoulos
IDEAL
2009
Springer
13 years 5 months ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
BILDMED
2008
105views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Curvature- and Model-Based Hatching of Patient-Specific Muscle Surfaces
Abstract. In this paper, we introduce a new method for hatching patient-specific, anatomic 3D surface models, in particular hatching of muscle surfaces. However, the method is tran...
Christian Tietjen, Rocco Gasteiger, Alexandra Baer...