System and method for determining segments for ablation
Inventors
ROBINSON, Clifford • CUCULICH, Phillip • Hugo, Geoffrey
Assignees
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Publication Number
US-12605070-B2
Publication Date
2026-04-21
Expiration Date
Abstract
A method for selecting one or more targets for non-invasively treating a cardiac arrhythmia in a patient includes receiving a mapping associated with the patient's heart and generating a segmented model of the mapping associated with the patient's heart. The segmented model divides the mapping into a plurality of segments. The method includes identifying one or more abnormality in the segmented model of the mapping associated with the patient's heart, determining which segment or segments of the plurality of segments include the identified one or more abnormality, and selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments that include the identified one or more abnormality.
Core Innovation
A method for selecting one or more targets and non-invasively treating a cardiac arrhythmia in a heart of a patient is described by receiving a plurality of mappings associated with the patient's heart. The method identifies one or more abnormality in the received plurality of mappings and provides a two-dimensional (2D) segmented model of the patient's heart for each mapping, where the plurality of segments is a predetermined number of segments each corresponding to a different portion of the patient's heart.
The method determines which segment or segments of the plurality of segments of each of the 2D segmented models include the identified one or more abnormality. The method combines the 2D segmented models and generates a three dimensional (3D) segmented model of the combined 2D segmented models including the determined segment or segments, overlays the generated 3D segmented model on a 3D image of the patient's heart, and selects a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments.
The method further performs non-invasively treating the cardiac arrhythmia by directing therapy at the selected target for ablation. A non-transitory computer readable medium is also described, storing instructions that, when executed by at least one processor, cause non-invasively treating the cardiac arrhythmia by repeating the receiving of mappings, abnormality identification, 2D segmented modeling, 2D-to-3D combination, overlay on a 3D image, target selection, and directing non-invasive therapy at the selected target for ablation.
Claims Coverage
Two independent claims are provided: a method for selecting targets and non-invasively treating a cardiac arrhythmia, and a non-transitory computer readable medium for performing the same workflow via processor-executed instructions. The independent claims collectively describe a multi-mapping abnormality-to-segment workflow with 2D segmented modeling, combination into a 3D segmented model, overlay on a 3D image, and target selection followed by non-invasive ablation therapy.
Abnormality-driven 2D-to-3D segmented target selection for non-invasive ablation
receiving a plurality of mappings associated with the patient's heart; identifying one or more abnormality in the received plurality of mappings associated with the patient's heart; providing a two-dimensional (2D) segmented model of the patient's heart for each mapping of the plurality of mappings, each 2D segmented model including a plurality of segments, wherein the plurality of segments is a predetermined number of segments each corresponding to a different portion of the patient's heart; determining which segment or segments of the plurality of segments of each of the 2D segmented models include the identified one or more abnormality; combining the 2D segmented models; generating a three dimensional (3D) segmented model of the combined 2D segmented models including the determined segment or segments of the plurality of segments; overlaying the generated 3D segmented model on a 3D image of the patient's heart; selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments; and non-invasively treating the cardiac arrhythmia by directing therapy at the selected target for ablation.
Processor-executed non-transitory medium for abnormality-driven non-invasive ablation target selection
receiving a plurality of mappings associated with the patient's heart; identifying one or more abnormality in the received plurality of mappings associated with the patient's heart; providing a two-dimensional (2D) segmented model of the patient's heart for each mapping of the plurality of mappings, each 2D segmented model including a plurality of segments, wherein the plurality of segments is a predetermined number of segments each corresponding to a different portion of the patient's heart; determining which segment or segments of the plurality of segments of each of the 2D segmented models include the identified one or more abnormality; combining the 2D segmented models; generating a three dimensional (3D) segmented model of the combined 2D segmented models including the determined segment or segments of the plurality of segments; overlaying the generated 3D segmented model on a 3D image of the patient's heart; selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments that include the identified one or more abnormality; and directing non-invasive therapy at the selected target for ablation.
Across the independent claims, the central claimed concept is to build abnormality-containing segment information from multiple mappings using predetermined 2D segmented models, combine those determinations into a 3D segmented model, overlay on a 3D image, and select a non-invasive ablation target based on the identified segment(s), followed by directing non-invasive therapy at the selected target.
Stated Advantages
Documented Applications
Non-invasively treating a cardiac arrhythmia in a patient by selecting one or more targets based on abnormality-containing segments derived from received mappings, and directing non-invasive therapy at the selected target for ablation.
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