A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information

By E. D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2002

309 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/716a31d75417dd4bbc593d230b49e9d14ec72c97

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

A Review of Geometric Transformations for Nonrigid Body Registration (2008, methodology): “• Segmentation: Given an image containing a set of delineated structures this can be registered to the subject images and the transformations used to propagate the delineations into the space of the subject images so providing a segmentation [41], [42], [43].”
Brain Functional Localization: A Survey of Image Registration Techniques (2007, unknown): “, [105], [110], [115], [134], [155], [158], [164], [166], and [168])”
Medical image registration: a review (2014, methodology): “Some examples of registration algorithms based on fluid flow can be found in: (Ashburner, 2007; Auzias et al., 2011; Bro-Nielsen and Gramkow, 1996; Chiang et al., 2008; Christensen et al., 1997; Christensen et al., 1994; 1996; D’Agostino et al., 2003; Freeborough and Fox, 1998; Guimond et al., 2002;”
Medical image registration using mutual information (2003, methodology): “Free-form nonrigid registration methods using MMI have been proposed using elastic [39] and viscous fluid [21] models.”
A Reproducible Evaluation of ANTs Similarity Metric Performance in Brain Image Registration (2010, background): “, 2008), and mutual information (Viola and Wells, 1997; Rueckert et al., 1999; D'Agostino et al., 2003; Crum et al., 2003; Rogelj and Kovacic, 2006; Tao et al., 2009; Loeckx et al., 2010).”
A fully automatic and robust brain MRI tissue classification method (2003, methodology): “Work very recently presented used to automatically produce a training set for the (D'Agostino et al., 2002; Pohl et al., 2002) showed that supervised classifier (Kamber et al., 1995).”
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting (2009, background): “Examples of the latter category include (Glocker et al., 2008; Vercauteren et al., 2007, 2009; Ou and Davatzikos, 2009; D’Agostino et al., 2003; Kybic and Unser, 2003; Christensen et al., 1994; Collins et al., 1994; Thirion, 1998; Rueckert et al., 1999; Maes et al., 1997; Wells et al., 1996; Friston”
Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain (2008, background): “, 2000) and large deformation problems (Trouv’e, 1998; Christensen et al., 1997; Dupuis et al., 1998; Younes, 1998; Joshi and Miller, 2000; Miller et al., 2002; Beg et al., 2005; D’Agostino et al., 2003; Lorenzen et al., 2006; Vaillant et al., 2004).”
Survey of Medical Image Registration (2013, unknown): “MRI and CT or PET) [2-10].”
Deformable Medical Image Registration: A Survey (2013, background): “tackled multi-modal registration with the use of such models in [36].”