Integrating Three-Dimensional Medical Imaging Into Digital Electroanatomic Models
AssigneeKardioNav, Inc.
InventorsPeter Michael VAN DAM, David JENKINS
Life of this patent
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AssigneeKardioNav, Inc.
InventorsPeter Michael VAN DAM, David JENKINS
Estimating the term…
Various embodiments include methods for generating patient-specific heart and thorax models using anatomical landmarks and segmentation data, optimized through the application of trained neural network models. Three-dimensional medical imaging data may be processed by a trained neural network to automatically segment and isolate the heart, blood cavities, and thorax to extract feature maps from the segmented images. Anatomical landmarks, such as the heart apex and valve centers, are identified and the alignment of heart axes is verified. Reference heart and thorax models are selected and adapted to fit the patient-specific landmarks through scaling, translating, and rotating. Best adapted heart and thorax models may then be used for conducting one or more medical procedures. Neural network models, trained on historical patient data sets, may be refined through machine learning from new patient data, thereby improving accuracy.
A method implemented within a computer processing system for generating and using patient-specific electroanatomic models of a patient's heart and thorax, comprising:
A method implemented within a computer processing system for generating and using patient-specific electroanatomic models of a patient's heart and thorax, comprising:
A computing device, comprising:
A computing device, comprising:
Dependencies are inferred from the claim text.