2024-03-28T13:16:51Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/4021012024-03-15T10:58:00Zcom_10803_236col_10803_690279
nam a 5i 4500
Similarity measure
Image registration
Simultaneous diagonalization
Laplacian commutator
Manifold learning
Manifold embedding quality
Kernel combinations
Random forest
Neighborhood approximation
Brain analysis
Medido de similitud
Registro de imagen
Diagonalización simultáneo
Comutador de Laplaciano
Cualidad de embeddings
Combinación de kernels
Aproximación de vecindarios
Análisis del cerebro
Image similarity for registration and manifold learning: application to brain analysis
[Barcelona] :
Universitat Pompeu Fabra,
2017
Accés lliure
http://hdl.handle.net/10803/402101
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Zimmer, Veronika Anne,
autor
Programa de doctorat en Tecnologies de la Informació i les Comunicacions,
degree
1 recurs en línia (168 pàgines)
Tesi
Doctorat
Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
2017
Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Tesis i dissertacions electròniques
González Ballester, Miguel Ángel,
supervisor acadèmic
Piella Fenoy, Gemma,
supervisor acadèmic
TDX
The aim of this thesis is to explore and develop measures for image comparison in two main areas of medical image analysis: image registration and manifold learning for population analysis. In particular, the main contributions of the thesis are the following: (i) the development of a multimodal similarity measure using the commutativity of the image graph Laplacians as a criterion of image structure preservation, (ii) the application of such similarity measure to fetal ultrasound-magnetic resonance registration, (iii) the development of a framework for optimal kernel-based manifold embeddings for medical image data, and (iv) the development of a method to learn and combine heterogeneous pairwise image similarities induced by application-specific distance functions for manifold learning. The methods developed in this thesis were evaluated both on synthetic and clinical data, here in particular for brain analysis and classification, both during early childhood and in aging adults.
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