Precise ENB navigation to lung lesions for diagnosis and therapy through modelling of lung deformations
Principal Investigator
Name
Nicolas Merlet
Degrees
PhD
Institution
Medtronic-Covidien
Position Title
Senior Algorithms Developer
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-124
Initial CDAS Request Approval
Mar 4, 2015
Title
Precise ENB navigation to lung lesions for diagnosis and therapy through modelling of lung deformations
Summary
Electromagnetic Navigation Bronchoscopy TM procedures provide a minimally invasive approach to accessing difficult-to-reach areas of the lung, which aid in the diagnosis and treatment of lung disease, in particular cancer. In order to improve both diagnosis and treatment, we need a better localization, tracking and characterization of lesions, in spite of various lung deformations, and through proper lung modelling. A large database such as the NLST Data will allow appropriate training and validation, as well as a better understanding of the lung deformations.
Publications: http://superdimension.com/clinical-publications/
Aims
1- Study of the lung deformations and their modelling
2- Lesions segmentation, characterization and classification
Collaborators
Andrew E Brown (Medtronic, Andrew.e.Brown at covidien.com)
Benny Greenburg (Medtronic, Benny.Greenburg at covidien.com)
Evgeni Kopel (Medtronic, Evgeni.Kopel at covidien.com)
Igor Markov (Medtronic, Igor.Markov at covidien.com)
Oren Weingarten (Medtronic, Oren.Weingarten at covidien.com)
Ron Barak (Medtronic, ron.barak at covidien.com)