T
Tommaso Mansi
Researcher at Princeton University
Publications - 191
Citations - 5064
Tommaso Mansi is an academic researcher from Princeton University. The author has contributed to research in topics: Cardiac electrophysiology & Image registration. The author has an hindex of 34, co-authored 181 publications receiving 4341 citations. Previous affiliations of Tommaso Mansi include Siemens & University of Erlangen-Nuremberg.
Papers
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Proceedings ArticleDOI
Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models
Sasa Grbic,Razvan Ioan Ionasec,Tommaso Mansi,Bogdan Georgescu,Fernando Vega-Higuera,Nassir Navab,Dorin Comaniciu +6 more
TL;DR: This work proposes a fully integrated system to extract automatically the patient specific model of the aortic valve including the volumetric model ofThe aorti valve leaflets and calcium from high resolution single phase CT.
Book ChapterDOI
Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart
TL;DR: Methods for computing shape statistics by utilizing a well-posed framework for representing the shape of surfaces as currents are described, showing how the analysis of organ deformation across patients can be used to model the impact of remodeling with the hope to get more insight on the pathophysiology.
Book ChapterDOI
Characterization of Post-infarct Scars in a Porcine Model --- A Combined Experimental and Theoretical Study
Mihaela Pop,Maxime Sermesant,Tommaso Mansi,Eugene Crystal,Jay Detsky,Yuesong Yang,Paul Fefer,Elliot R. McVeigh,Alexander Dick,Nicholas Ayache,Graham A. Wright +10 more
TL;DR: The main purpose of this work was to characterize the infarct scars using in vivo electro-anatomic CARTO maps (recorded in sinus rhythm) and high-resolution ex-vivo MR images in a porcine model of chronicinfarct.
Patent
Personalized creation from medical imaging
Sasa Grbic,Tommaso Mansi,Ingmar Voigt,Razvan Ioan Ionasec,Bogdan Georgescu,Helene Houle,Dorin Comaniciu,Charles Florin,Philip Hoelzer,Michael Suehling +9 more
TL;DR: In this article, a model of a dynamic structure, such as part of the cardiovascular system, is used to print a mold to create the implant, a scaffold on which to grow tissue, and/or tissue itself.
Proceedings ArticleDOI
Estimation of volumetric myocardial apparent conductivity from endocardial electro-anatomical mapping
Phani Chinchapatnam,Kawal Rhode,Matthew Ginks,Tommaso Mansi,Jean-Marc Peyrat,Pier D. Lambiase,C. Aldo Rinaldi,Reza Razavi,Simon R. Arridge,Maxime Sermesant +9 more
TL;DR: An adaptive inverse parameter estimation algorithm is proposed to estimate the myocardial apparent conductivity from endocardial electrical potential measurements to help personalisation of cardiac biophysical models.