OBJECTIVES: To validate a multi-modality image fusion approach to guide catheter-based, targeted transendocardial therapeutic delivery in a swine myocardial infarction (MI) model. BACKGROUND: Biologic agents such as stem cells may curb post MI adverse ventricular remodeling if delivered by a transendocardial catheter directly into the infarct border. 3D visualization of the infarct and other cardiac surfaces is required to perform this task. We propose registering and overlaying magnetic resonance imaging (MRI) roadmaps onto live x-ray fluoroscopy (XRF) to guide targeted transendocardial delivery. METHODS: Custom software was used to register and overlay MRI models of the endocardium and infarct on live XRF by aligning common endocardial border features. In a swine MI model, transendocardial injections of co-localizing imaging labels were performed, targeting a 20 mm perimeter around the infarct. Directed targeting error (DTE) was defined as the difference between the predicted injection site-to-infarct distance calculated by the image fusion system, to the actual distance determined by postprocedure in vivo MRI. The mobile image fusion system was designed to be vendor-independent for imaging systems and transendocardial catheters. RESULTS: Transendocardial injections were performed in all animals without complications. Mean DTE was 0.9 ± 5.0 mm (n = 8 swine). Time to register the images and establish a high quality roadmap was less than 12 min in all animals. Custom imaging tools to display injection sites and distribution were useful adjuncts during targeted injection procedures. CONCLUSIONS: Multi-modality image fusion is a feasible and accurate platform technology to guide transendocardial injections precisely to the discrete infarct border.
OBJECTIVES: To validate a multi-modality image fusion approach to guide catheter-based, targeted transendocardial therapeutic delivery in a swinemyocardial infarction (MI) model. BACKGROUND: Biologic agents such as stem cells may curb post MI adverse ventricular remodeling if delivered by a transendocardial catheter directly into the infarct border. 3D visualization of the infarct and other cardiac surfaces is required to perform this task. We propose registering and overlaying magnetic resonance imaging (MRI) roadmaps onto live x-ray fluoroscopy (XRF) to guide targeted transendocardial delivery. METHODS: Custom software was used to register and overlay MRI models of the endocardium and infarct on live XRF by aligning common endocardial border features. In a swine MI model, transendocardial injections of co-localizing imaging labels were performed, targeting a 20 mm perimeter around the infarct. Directed targeting error (DTE) was defined as the difference between the predicted injection site-to-infarct distance calculated by the image fusion system, to the actual distance determined by postprocedure in vivo MRI. The mobile image fusion system was designed to be vendor-independent for imaging systems and transendocardial catheters. RESULTS: Transendocardial injections were performed in all animals without complications. Mean DTE was 0.9 ± 5.0 mm (n = 8 swine). Time to register the images and establish a high quality roadmap was less than 12 min in all animals. Custom imaging tools to display injection sites and distribution were useful adjuncts during targeted injection procedures. CONCLUSIONS: Multi-modality image fusion is a feasible and accurate platform technology to guide transendocardial injections precisely to the discrete infarct border.
Authors: Hans Thijs Van den Broek; Leon De Jong; Pieter A Doevendans; Steven A J Chamuleau; Frebus J Van Slochteren; René Van Es Journal: J Vis Exp Date: 2017-04-12 Impact factor: 1.355
Authors: Eric G Schmuck; Jill M Koch; Timothy A Hacker; Charles R Hatt; Michael T Tomkowiak; Karl K Vigen; Nicholas Hendren; Cathlyn Leitzke; Ying-Qi Zhao; Zhanhai Li; John M Centanni; Derek J Hei; Denise Schwahn; Jaehyup Kim; Peiman Hematti; Amish N Raval Journal: J Cardiovasc Transl Res Date: 2015-09-15 Impact factor: 4.132
Authors: Andrew J Klein; Michael T Tomkowiak; Karl K Vigen; Timothy A Hacker; Michael A Speidel; Michael S Vanlysel; Nehal Shah; Amish N Raval Journal: Catheter Cardiovasc Interv Date: 2012-10-24 Impact factor: 2.692
Authors: Charles R Hatt; Ameet K Jain; Vijay Parthasarathy; Andrew Lang; Amish N Raval Journal: Comput Med Imaging Graph Date: 2013-04-03 Impact factor: 4.790
Authors: Frederic C McCall; Kartik S Telukuntla; Vasileios Karantalis; Viky Y Suncion; Alan W Heldman; Muzammil Mushtaq; Adam R Williams; Joshua M Hare Journal: Nat Protoc Date: 2012-07-12 Impact factor: 13.491