New medical registration and segmentation techniques using information-theoretic tools
- Autores: Antoni Bardera Reig
- Directores de la Tesis: Miquel Feixas Feixas (dir. tes.), Immaculada Boada Oliveras (dir. tes.)
- Lectura: En la Universitat de Girona ( España ) en 2008
- Idioma: inglés
- Tribunal Calificador de la Tesis: Mateu Sbert Casasayas (presid.), Jordi Freixenet Bosch (secret.), Meritxell Bach Cuadra (voc.), Filiberto Pla Bañón (voc.), Ferrán Marqués Acosta (voc.)
- Materias:
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- Resumen
Medical imaging is an important focus of research, The development of new techniques that assist and enhance visual image interpretation in a timely and accurate manner is fundamental in real clinical environments.
Most of the contributions of this thesis are based on Information Theory. This theory deals with the transmission, storage and processing of information and it is used in fields such as physics, computer science, mathematics, statistics, economics, biology, computer graphics, etc.
In this thesis, several information theoretic tools have been presented in order to improve the existing methods in the image processing area, in particular in the image registration and segmentation fields.
Finally, two of the specialized applications for medical assessment which have been developed in the scope of this thesis are presented.
