Atlas-based semi-automatic segmentation of Whole-Body Diffusion Weighted Imaging images: Quantification of tumor burden

Cancer is a leading cause of death worldwide. Treatment strategies rely on accurate tumor staging and surveillance by imaging screening. Whole-body Diffusion Weighted Imaging (DWI) has high value to detect, characterize and quantify malignancies with irregular diffusion patterns, such as Multiple My...

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Detalhes bibliográficos
Autor principal: Almeida, Sílvia Alexandra Dias (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2019
Assuntos:
Diffusion Weighted Imaging
Semi-Automatic Segmentation
Atlas-based Segmentation
Tumor Burden
Image Processing
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Texto completo:http://hdl.handle.net/10362/56381
País:Portugal
Oai:oai:run.unl.pt:10362/56381

Texto Completo

http://hdl.handle.net/10362/56381

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