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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-08202015-225635


Tipo di tesi
Tesi di laurea magistrale
Autore
DE SIMONE, ALESSANDRA
URN
etd-08202015-225635
Titolo
OCT-based Visual Servoing for Nasal Endoscopy
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Tamadazte, Brahim
relatore Prof.ssa Menciassi, Arianna
Parole chiave
  • optical coherence tomography
  • nasal endoscopy
  • microrobotic endoscopy
  • medical imaging
  • image acquisition
  • robotic control
  • visual servoing
Data inizio appello
09/10/2015
Consultabilità
Non consultabile
Data di rilascio
09/10/2085
Riassunto
Recent studies demonstrated a correlation between the loss of smell and the possible appearance of neurodegenerative diseases. To investigate the impact of smell deficiency on neuronal degeneration, the project NEMRO (ANR-14-CE17-0013- 01) plans to develop a nasal micro-robotic endoscopy system equipped with an OCT imaging probe performing optical biopsies. This work is part of that project and deals with the development of a visual servoing strategy based on OCT images for controlling the motion of the nasal endoscope. I introduce a state of the art of visual servoing and optical coherence tomography. In the first part of this work, I focus on OCT image acquisition and processing, as a good image quality is important for effective visual servoing. Then, I present the developed visual servoing method, based on the use of the Continuous Wavelet Transform in spectral domain. It provides the displacement between two translated and rotated images determining the control law for the visual servoing. I experimentally validated the algorithm on a robotic platform with three degrees of freedom. Results showed that the method is precise and robust for the translation and the rotation.
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