About: Bayesian model of computational anatomy

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Computational anatomy (CA) is a discipline within medical imaging focusing on the study of anatomical shape and form at the visible or gross anatomical scale of morphology. The field is broadly defined and includes foundations in anatomy, applied mathematics and pure mathematics, including medical imaging, neuroscience, physics, probability, and statistics. It focuses on the anatomical structures being imaged, rather than the medical imaging devices. The central focus of the sub-field of computational anatomy within medical imaging is mapping information across anatomical coordinate systems most often dense information measured within a magnetic resonance image (MRI). The introduction of flows into CA, which are akin to the equations of motion used in fluid dynamics, exploit the notion tha

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rdfs:label	Bayesian model of computational anatomy (en)
rdfs:comment	Computational anatomy (CA) is a discipline within medical imaging focusing on the study of anatomical shape and form at the visible or gross anatomical scale of morphology. The field is broadly defined and includes foundations in anatomy, applied mathematics and pure mathematics, including medical imaging, neuroscience, physics, probability, and statistics. It focuses on the anatomical structures being imaged, rather than the medical imaging devices. The central focus of the sub-field of computational anatomy within medical imaging is mapping information across anatomical coordinate systems most often dense information measured within a magnetic resonance image (MRI). The introduction of flows into CA, which are akin to the equations of motion used in fluid dynamics, exploit the notion tha (en)
foaf:depiction
dcterms:subject	Computational anatomy Neural engineering Geometry Biomedical engineering Fluid mechanics Bayesian estimation
Wikipage page ID	52657328 (xsd:integer)
Wikipage revision ID	1039934583 (xsd:integer)
Link from a Wikipage to another Wikipage	Computational anatomy Neural engineering Bayes' theorem Applied mathematics Computational anatomy Medical imaging Morphology (biology) Lagrangian and Eulerian specification of the flow field Magnetic resonance imaging Sobolev space Statistics Physics Geometry Anatomy Probability Hilbert space Biomedical engineering Fluid mechanics Bayesian estimation Gross anatomy Group actions in computational anatomy Maximum a posteriori estimation Neuroscience Expectation–maximization algorithm Statistical theory Pure mathematics Neurodegenerative Expectation-maximization Neurodevelopmental Shannon theory
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has abstract	Computational anatomy (CA) is a discipline within medical imaging focusing on the study of anatomical shape and form at the visible or gross anatomical scale of morphology. The field is broadly defined and includes foundations in anatomy, applied mathematics and pure mathematics, including medical imaging, neuroscience, physics, probability, and statistics. It focuses on the anatomical structures being imaged, rather than the medical imaging devices. The central focus of the sub-field of computational anatomy within medical imaging is mapping information across anatomical coordinate systems most often dense information measured within a magnetic resonance image (MRI). The introduction of flows into CA, which are akin to the equations of motion used in fluid dynamics, exploit the notion that dense coordinates in image analysis follow the Lagrangian and Eulerian equations of motion. In models based on Lagrangian and Eulerian flows of diffeomorphisms, the constraint is associated to topological properties, such as open sets being preserved, coordinates not crossing implying uniqueness and existence of the inverse mapping, and connected sets remaining connected. The use of diffeomorphic methods grew quickly to dominate the field of mapping methods post Christensen'soriginal paper, with fast and symmetric methods becoming available. (en)
prov:wasDerivedFrom	wikipedia-en:Bayesian_model_of_computational_anatomy?oldid=1039934583&ns=0
page length (characters) of wiki page	24480 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Bayesian_model_of_computational_anatomy
is Link from a Wikipage to another Wikipage of	Large deformation diffeomorphic metric mapping Statistical shape analysis List of things named after Thomas Bayes The Bayesian model of computational anatomy Bayes method in Computational Anatomy Bayes method in computational anatomy Bayes models in computational anatomy Bayesian methods in computatonal anatomy Bayesian models in computational anatomy Bayesian models of computational anatomy
is Wikipage redirect of	The Bayesian model of computational anatomy Bayes method in Computational Anatomy Bayes method in computational anatomy Bayes models in computational anatomy Bayesian methods in computatonal anatomy Bayesian models in computational anatomy Bayesian models of computational anatomy
is foaf:primaryTopic of	wikipedia-en:Bayesian_model_of_computational_anatomy

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