Cardiac arrythmias are a major clinical health problem. We have developed a significant and unique solution. We have designed and constructed a novel prototype system which integrates, in real-time, all image and associated physiological variables, device signals and computer generated data derived therefrom required for accurate and precise navigation and targeting in catheter-based ablation of cardiac arrhythmias. The system will render obsolete or unnecessary current approaches to treatment of cardiac arrhythmias, including present ablation methods, open chest surgery and pacemakers and medications in the many cases they don't work. The system design is open and flexible, permitting ready integration of new imaging modalities, interventional devices and physiologic signals as they become available. This system has achieved, for the first time, real-time performance in fusing dynamic cardiac anatomy with physiologic signals. Based on preliminary progress, we now can specify the enhancements required for seamless clinical implementation and application. These improvements include hardware upgrades for performance optimization and interface expansion, new and advanced algorithms for segmentation and registration, precise interactive catheter-to-anatomy navigation using image-guided robotic manipulators, and continuous tracking of respiratory and cardiac cycles for more precise mapping of physiology to anatomy, with more accurate rendering and display of time-patient-specific models of the heart throughout the cardiac cycle. We propose to thoroughly evaluate the enhanced system in both animal experiments and human studies. During this evaluation we will refine and optimize the user interface and procedure flow. We will then specify and assemble a """"""""production"""""""" system fully compatible with the clinical procedure room. This production unit will be reproducible and transportable. The multi-disciplinary team of biomedical engineers, cardiologists, radiologists and computer scientists will continue to focus on atrial fibrillation where current treatment strategies are especially ineffective. But the system will be readily adaptable to treatment of any cardiac arrythmias that can be reached by a catheter. This system will herald a new generation of technology for treatment of cardiac arrhythmias resulting in significant clinical benefits, including reduced morbidity, mortality, procedure time, x-ray exposure and cost, with dramatically improved performance and outcomes. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
2R01EB002834-04A1
Application #
7315777
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Haller, John W
Project Start
2003-09-20
Project End
2010-04-30
Budget Start
2007-07-17
Budget End
2008-04-30
Support Year
4
Fiscal Year
2007
Total Cost
$437,153
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Linte, Cristian A; Camp, Jon J; Rettmann, Maryam E et al. (2018) Lesion modeling, characterization, and visualization for image-guided cardiac ablation therapy monitoring. J Med Imaging (Bellingham) 5:021218
Peters, Terry M; Linte, Cristian A (2016) Image-guided interventions and computer-integrated therapy: Quo vadis? Med Image Anal 33:56-63
Rettmann, M E; Holmes 3rd, D R; Johnson, S B et al. (2015) Analysis of Left Atrial Respiratory and Cardiac Motion for Cardiac Ablation Therapy. Proc SPIE Int Soc Opt Eng 9415:
Camp, Jon J; Linte, Cristian A; Rettmann, Maryam E et al. (2015) The effect of elastic modulus on ablation catheter contact area. Proc SPIE Int Soc Opt Eng 9415:
Sun, Deyu; Rettmann, Maryam E; Packer, Douglas et al. (2015) Simulated evaluation of an intraoperative surface modeling method for catheter ablation by a real phantom simulation experiment. Proc SPIE Int Soc Opt Eng 9415:
Rettmann, Maryam E; Holmes 3rd, David R; Breen, Jerome F et al. (2015) Measurements of the left atrium and pulmonary veins for analysis of reverse structural remodeling following cardiac ablation therapy. Comput Methods Programs Biomed 118:198-206
Rettmann, M E; Holmes 3rd, D R; Linte, C A et al. (2014) Toward Standardized Mapping for Left Atrial Analysis and Cardiac Ablation Guidance. Proc SPIE Int Soc Opt Eng 9036:
Sun, Deyu; Rettmann, Maryam E; Holmes Iii, David R et al. (2014) Anatomic surface reconstruction from sampled point cloud data and prior models. Stud Health Technol Inform 196:387-93
Rettmann, Maryam E; Holmes 3rd, David R; Kwartowitz, David M et al. (2014) Quantitative modeling of the accuracy in registering preoperative patient-specific anatomic models into left atrial cardiac ablation procedures. Med Phys 41:021909
Linte, Cristian A; Camp, Jon J; Rettmann, Maryam E et al. (2013) Image-based Modeling and Characterization of RF Ablation Lesions in Cardiac Arrhythmia Therapy. Proc SPIE Int Soc Opt Eng 8671:

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