2024-03-28T20:08:09Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/3940302022-12-08T19:22:42Zcom_10803_253col_10803_254col_10803_323092
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Magnetic resonance imaging
Imatges per resonància magnètica
Imágenes por resonancia magnética
Lupus
Multiple sclerosis
Esclerosi múltiple
Esclerosis múltiple
Brain
Cervell
Cerebro
White matter lesions
Lesions en la matèria blanca
Lesiones en la materia blanca
Medical image analysis
Anàlisi d'imatge mèdica
Análisis de imagen médica
Lesion segmentation
Segmentació de lesions
Segmentación de lesiones
Automated methods on magnetic resonance brain imaging in multiple sclerosis
[Girona] :
Universitat de Girona,
2016
Accés lliure
http://hdl.handle.net/10803/394030
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Roura Pérez, Eloy,
autor
1 recurs en línia (111 pàgines)
Tesi
Doctorat
Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors
2016
Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors
Tesi
Doctorat
Institut de Recerca en Visió per Computador i Robòtica
2016
Institut de Recerca en Visió per Computador i Robòtica
Tesis i dissertacions electròniques
Lladó Bardera, Xavier,
supervisor acadèmic
Oliver i Malagelada, Arnau,
supervisor acadèmic
TDX
In this thesis, we have focused on the image pre-processing in order to enhance the image information. The main aspects of this enhancement rely on removing any image noise and correcting any intensity bias induced by the scanner. Besides, we also contributed with a new technique based on a multispectral, adaptive, region growing algorithm in order to segment the brain from the rest of the head.
We include, as a pre-processing step, the image registration process, in which we proposed a novel pipeline by using information from multiple modalities to improve the results of this process.
Furthermore, we have also studied the current techniques for the detection and segmentation of WML, proposing a new method based on a previous proposal. Therefore, we presented a tool able to automatically detect and segment WML of Multiple sclerosis and Lupus patients.
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