Difference between revisions of "NA-MIC/Projects/Collaboration/Carto scar BIDMC"
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* Beth Israel Deaconess: Dana C. Peters | * Beth Israel Deaconess: Dana C. Peters | ||
* Beth Israel Deaconess: Jason Taclas | * Beth Israel Deaconess: Jason Taclas | ||
+ | * Kitware: Luis Ibanez, NAMIC: Steve Pieper, GE: Jim Miller (providing advice) | ||
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<h1>Progress</h1> | <h1>Progress</h1> | ||
− | Software for the registration between electrophysiology Carto data and the MR angiogram has been implemented, using the ITK/VTK platform (see ISMRM 2008 abstract, Taclas et al, and figure above). | + | Software for the registration between electrophysiology Carto data and the MR angiogram has been implemented, using the ITK/VTK platform (see ISMRM 2008 abstract, Taclas et al, and figure above). This week we wrote code to quantitatively determine the distances between each ablation location, and the closest region of scar, and to determine the distances between each pixel of scar, and the nearest ablation point. Therefore we accomplished our goal! |
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Latest revision as of 21:40, 30 June 2008
Home < NA-MIC < Projects < Collaboration < Carto scar BIDMC
Key Investigators
- Beth Israel Deaconess: Dana C. Peters
- Beth Israel Deaconess: Jason Taclas
- Kitware: Luis Ibanez, NAMIC: Steve Pieper, GE: Jim Miller (providing advice)
Objective
We are developing methods for registering peri-procedural electrophysiological data showing sites of RF energy application (called Carto data) in the left atrium, with post-procedural MRI data, which shows regions of scarred left atrium (see figure above), using an interative closest point algorithm (Z. Malchano et al). The goal is to measure the distance between scar by MRI and ablation sites (Carto data) by EP.
Approach, Plan
Our approach for comparing the locations of scar to sites of RF ablation is summarized in the ISMRM 2008 reference below. The main challenge to this approach is to measure the distance between each scarred pixel, and each RF ablation site, and then the distance from each RF ablation site, to the nearest scarred pixel. <foo>.
Our plan for the project week is to first try to measure the closest distances between MRI scar and Carto data <bar>,and then to measure distances between Carto data and closest scar. We also wish to colorize the Carto surface, based on voltage data. We also wish to streamline the MR angiography segmentation method.
Progress
Software for the registration between electrophysiology Carto data and the MR angiogram has been implemented, using the ITK/VTK platform (see ISMRM 2008 abstract, Taclas et al, and figure above). This week we wrote code to quantitatively determine the distances between each ablation location, and the closest region of scar, and to determine the distances between each pixel of scar, and the nearest ablation point. Therefore we accomplished our goal!
References
- Peters DC, Wylie JV, Hauser TH, Kissinger KV, Botnar RM, Essebag V, Josephson ME, Manning WJ. Detection of pulmonary vein and left atrial scar after catheter ablation with three-dimensional navigator-gated delayed enhancement MR imaging: initial experience. Radiology 2007; 243:690-695.
- Taclas JE, Wylie JV, Hauser TH, Manning WJ, Josephson ME, Peters, DC. Correlation and Visualization of Left Atrial Scar due to Pulmonary Vein Ablation with Recorded Ablation Sites. Proceedings of the 16th scientific meeting of the International Society for Magnetic Resonance in Medicine (2008), Toronto, CA, p. 1042.
- Malchano ZJ, Neuzil P, Cury RC, Holmvang G, Weichet J, Schmidt EJ, Ruskin JN, Reddy VY. Integration of cardiac CT/MR imaging with three-dimensional electroanatomical mapping to guide catheter manipulation in the left atrium: implications for catheter ablation of atrial fibrillation. J Cardiovasc Electrophysiol 2006; 17:1221-1229.