2026-09-19T04:57:19Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/370832026-06-06T01:04:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William J. Long.
Ocholi, Ojonimi A
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-04-03T17:09:48Z
2007-04-03T17:09:48Z
2006
2006
http://hdl.handle.net/1721.1/37083
83307109
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 79-81).
This thesis describes an interface that has been developed to assist in medical procedures. Several commercial systems are currently available each with their own strength and weaknesses and the goal of this interface is to leverage each of them. It is based upon a number of toolkits such as the Visualization Toolkit (VTK) and the GUI development tool QT. To facilitate the rapid deployment of highly modular applications, an Application Programming Interface (API) was created and modeled after the Model-View-Controller paradigm. The interface was then built using this API into an executable application and it provides various features such as accurate catheter navigation and the registration of data from different sources. In addition, the interface was used to investigate the accuracy of one commercial system (LocaLisa) with regards to another (CARTO).
by Ojonimi A. Ocholi.
M.Eng.
S.B.
81 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
An intracardiac navigation interface for electrophysiology modeling tools
Thesis
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