TY - GEN
T1 - Hybrid deformable models for medical segmentation and registration
AU - Metaxas, Dimitris N.
AU - Qian, Zhen
AU - Huang, Xiaolei
AU - Huang, Rui
AU - Chen, Ting
AU - Axel, Leon
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Deformable models have had great successes over the past 20 years in medical applications. We have recently developed new classes of deformable models which we term hybrid deformable models to automate the model initialization process and make improvements in segmentation and registration. In this paper we present several hybrid deformable methods we have been developing for segmentation and registration. These methods include Metamorphs, a novel shape and texture integration deformable model framework and the integration of deformable models with graphical models and learning methods. We first present a framework for the robust segmentation and tracking of the heart from tagged MRI images and second applications involving brain tumor segmentation as well as brain and cardiac shape registration.
AB - Deformable models have had great successes over the past 20 years in medical applications. We have recently developed new classes of deformable models which we term hybrid deformable models to automate the model initialization process and make improvements in segmentation and registration. In this paper we present several hybrid deformable methods we have been developing for segmentation and registration. These methods include Metamorphs, a novel shape and texture integration deformable model framework and the integration of deformable models with graphical models and learning methods. We first present a framework for the robust segmentation and tracking of the heart from tagged MRI images and second applications involving brain tumor segmentation as well as brain and cardiac shape registration.
UR - http://www.scopus.com/inward/record.url?scp=34547149263&partnerID=8YFLogxK
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U2 - 10.1109/ICARCV.2006.345077
DO - 10.1109/ICARCV.2006.345077
M3 - Conference contribution
AN - SCOPUS:34547149263
SN - 1424403421
SN - 9781424403424
T3 - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
BT - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
T2 - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
Y2 - 5 December 2006 through 8 December 2006
ER -