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Intracardiac echo-guided image integration: optimizing strategies for registration
TS Fahmy, H Mlcochova, OM Wazni, D Patel, R Cihak, M Kanj, S Beheiry, JD Burkhardt, T Dresing, S Hao, P Tchou, J Kautzner, RA Schweikert, M Arruda, W Saliba, A Natale
Language English Country United States
Document type Evaluation Study
Grant support
NR7912
MZ0
CEP Register
Digital library NLK
Full text - Část
Source
NLK
CINAHL Plus with Full Text (EBSCOhost)
from 1990-02-01 to 1 year ago
Medline Complete (EBSCOhost)
from 1990-02-01 to 1 year ago
Wiley Online Library (archiv)
from 1997-01-01 to 2012-12-31
PubMed
17284265
Knihovny.cz E-resources
- MeSH
- Echocardiography * methods MeSH
- Atrial Fibrillation * diagnosis surgery MeSH
- Image Interpretation, Computer-Assisted methods instrumentation MeSH
- Catheter Ablation * methods MeSH
- Middle Aged MeSH
- Humans MeSH
- Tomography, X-Ray Computed methods MeSH
- Reproducibility of Results MeSH
- Heart Atria radiography MeSH
- Pulmonary Veins radiography MeSH
- Imaging, Three-Dimensional methods instrumentation MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Evaluation Study MeSH
INTRODUCTION: Image integration is being used in ablation procedures. However, the success of this approach is dependent on the accuracy of the image integration process. This study aims to evaluate the in vivo accuracy and reliability of the integrated image. METHODS AND RESULTS: One hundred twenty-four patients undergoing radiofrequency (RF) ablation catheter ablation for atrial fibrillation (AF) were recruited for this study from three different centers. Cardiac computerized tomography (CT) was performed in all patients and a 3D image of the left atrium (LA) and pulmonary veins (PVs) was extracted for registration after segmentation using a software program (CartoMerge, Biosense Webster, Inc.). Different landmarks were selected for registration and compared. Surface registration was then done and the impact on integration and the landmarks was evaluated. The best landmark registration was achieved when the posterior points on the pulmonary veins were selected (5.6 +/- 3.2). Landmarks taken on the anterior wall, left atrial appendage (LAA) or the coronary sinus (CS) resulted in a larger registration error (9.1 +/- 2.5). The mean error for surface registration was 2.17 +/- 1.65. However, surface registration resulted in shifting of the initially registered landmark points leading to a larger error (from 5.6 +/- 3.2 to 9.2 +/- 2.1; 95% CI 4.2-3.05). CONCLUSION: Posterior wall landmarks at the PV-LA junction are the most accurate landmarks for image integration in respect to the target ablation area. The concurrent use of the present surface registration algorithm may result in shifting of the initial landmarks with loss of their initial correlation with the area of interest.
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- $a Fahmy, Tamer S. $u Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio 44195, USA.
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- $a INTRODUCTION: Image integration is being used in ablation procedures. However, the success of this approach is dependent on the accuracy of the image integration process. This study aims to evaluate the in vivo accuracy and reliability of the integrated image. METHODS AND RESULTS: One hundred twenty-four patients undergoing radiofrequency (RF) ablation catheter ablation for atrial fibrillation (AF) were recruited for this study from three different centers. Cardiac computerized tomography (CT) was performed in all patients and a 3D image of the left atrium (LA) and pulmonary veins (PVs) was extracted for registration after segmentation using a software program (CartoMerge, Biosense Webster, Inc.). Different landmarks were selected for registration and compared. Surface registration was then done and the impact on integration and the landmarks was evaluated. The best landmark registration was achieved when the posterior points on the pulmonary veins were selected (5.6 +/- 3.2). Landmarks taken on the anterior wall, left atrial appendage (LAA) or the coronary sinus (CS) resulted in a larger registration error (9.1 +/- 2.5). The mean error for surface registration was 2.17 +/- 1.65. However, surface registration resulted in shifting of the initially registered landmark points leading to a larger error (from 5.6 +/- 3.2 to 9.2 +/- 2.1; 95% CI 4.2-3.05). CONCLUSION: Posterior wall landmarks at the PV-LA junction are the most accurate landmarks for image integration in respect to the target ablation area. The concurrent use of the present surface registration algorithm may result in shifting of the initial landmarks with loss of their initial correlation with the area of interest.
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