Share Email Print
cover

Proceedings Paper

Registration of high-resolution 3D atrial images with electroanatomical cardiac mapping: evaluation of registration methodology
Author(s): Yiyong Sun; Fred S. Azar; Chenyang Xu; Gal Hayam; Assaf Preiss; Norbert Rahn; Frank Sauer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Registration of atrial high-resolution CT and MR images with a cardiac mapping system can provide real-time electrical activation information, catheter tracking, and recording of lesion position. The cardiac mapping and navigation system comprises a miniature passive magnetic field sensor, an external ultralow magnetic field emitter (location pad), and a processing unit (CARTO, BiosenseWebster). We developed a progressive methodology for both interactively and automatically registering high-resolution 3D atrial images (MR or CT) with the corresponding electrophysiological (EP) points of 3D electro-anatomical (EA) maps. This methodology consists of four types of registration algorithms ranging from landmark-based to surface-based registration. We evaluated the methodology through phantom and patient studies. In the phantom study, we obtain a CT scan of a transparent heart phantom, and then use the CARTO system to visually pick a number of points inside the transparent phantom. After segmenting the atrium into a 3D surface, we register it to the measured EA map. The results are compared to the manual EA point measurements. In the 13-patient study, the four types of registrations are evaluated: visual alignment, landmark registration (three EA points are used), surface-based registration (all EA points are used), and local surface-based registration (a subset of the EA points is used, and one specific point is given a higher weight for a better “local registration”). Surface-based registration proves to be clearly superior to visual alignment. This new registration methodology may help in creating a novel and more visually interactive workflow for EP procedures, with more accurate EA map acquisitions. This may improve the ablation accuracy in atrial fibrillation (AFib) procedures, decrease the dependency on fluoroscopy, and also lead to less radiation delivered to the patient.

Paper Details

Date Published: 12 April 2005
PDF: 9 pages
Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); doi: 10.1117/12.595459
Show Author Affiliations
Yiyong Sun, Siemens Corporate Research (United States)
Fred S. Azar, Siemens Corporate Research (United States)
Chenyang Xu, Siemens Corporate Research (United States)
Gal Hayam, Biosense Webster, a Johnson & Johnson Co. (Israel)
Assaf Preiss, Biosense Webster, a Johnson & Johnson Co. (Israel)
Norbert Rahn, Siemens Medical Solutions (Germany)
Frank Sauer, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 5744:
Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway; Kevin R. Cleary, Editor(s)

© SPIE. Terms of Use
Back to Top