NDLI: Evaluation of global versus piecewise registration using a ground truth canine model

Content Provider	IEEE Xplore Digital Library
Author	Rettmann, M.E. Holmes, D.R.I.I.I. Su, Y. Kolasa, M.W. Johnson, S.B. Packer, D.L. Robb, R.A.
Copyright Year	2006
Description	Author affiliation: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN (Rettmann, M.E.; Holmes, D.R.I.I.I.; Su, Y.)
Abstract	Minimally invasive cardiac catheter ablation procedures for treatment of myocardial arrhythmias require effective visualization of the relevant heart anatomy and electrophysiology. In a typical ablation procedure, the visualization tools available to the cardiologist include fluoroscopy, ultrasound, and a coarse 3D model of cardiac anatomy and electrical activity. Recent advances in visualization techniques for cardiac ablation procedures have provided the capability to incorporate detailed, patient specific anatomical image data into the procedure. One of the main challenges, however, lies in registering tracked catheter points collected during the procedure to preoperative, patient specific data. While cardiac gating can help to compensate for motion throughout the cardiac cycle, respiratory motion still remains an issue. In a previous simulation study, we showed that piecewise linear registration performs better than global registration for this application. There are two main goals of the current work. First, we generate a ground truth dataset that can be used to evaluate the performance of registration techniques in the application of cardiac ablation procedures. Second, we use this dataset to compare the performance of global versus piecewise registration
Starting Page	848
Ending Page	851
File Size	174327
Page Count	4
File Format	PDF
ISBN	078039576X
DOI	10.1109/ISBI.2006.1625051
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Catheters Veins Medical treatment Data visualization Minimally invasive surgery Biomedical imaging Cardiology Heart Anatomy Ultrasonic imaging
Content Type	Text
Resource Type	Article

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