ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-05302011-155516

Tipo di tesi

Tesi di laurea specialistica

URN

etd-05302011-155516

Titolo

Design and comparison of Hidden Markov Models for pattern recognition of cerebral White Matter Lesions on MRI.

Dipartimento

INGEGNERIA

Corso di studi

INGEGNERIA DELLE TELECOMUNICAZIONI

Parole chiave

Hidden Markov Model
MRI
pattern recognition
White Matter Lesions

Data inizio appello

27/06/2011

Consultabilità

Parziale

Data di rilascio

27/06/2051

Riassunto (Inglese)

Riassunto (Italiano)

The research conducted in the present thesis proposes a computational neuroscience framework aiming to analyze the similarity/dissimilarity of white matter lesions (WML) patterns on FLAIR MRI, where WMLs appear hyperintense.
The study uses the concepts of Hidden Markov Model, fractals and phylogeny, which is used to discover the pattern of relationships of organisms.
The outcome of the proposed stochastic model is a tree where patients are grouped based on the relationship of their WMH patterns in term of size, shape and spatial distribution.

File

Nome file	Dimensione
Conclusions.pdf	35.03 Kb
index.pdf	14.00 Kb
Introduction.pdf	274.28 Kb
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