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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Bibliographic Details
Main Author: Almeida, Sílvia Alexandra Dias (author)
Format: masterThesis
Language:eng
Published: 2019
Subjects:
Diffusion Weighted Imaging
Semi-Automatic Segmentation
Atlas-based Segmentation
Tumor Burden
Image Processing
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Online Access:http://hdl.handle.net/10362/56381
Country:Portugal
Oai:oai:run.unl.pt:10362/56381

Internet

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

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