Volumetric LAT map

US11564610B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11564610-B2
Application numberUS-202016817537-A
CountryUS
Kind codeB2
Filing dateMar 12, 2020
Priority dateMay 23, 2019
Publication dateJan 31, 2023
Grant dateJan 31, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method includes assigning, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively. Some of the locations are on an endocardial surface of the tissue, and others of the locations are on an epicardial surface of the tissue. The method further includes assigning respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values. Other embodiments are also described.

First claim

Opening claim text (preview).

The invention claimed is: 1. A system, comprising: a monitor; and a processor, configured to: assign, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively, and some of the locations being on an endocardial surface of the tissue, and others of the locations being on an epicardial surface of the tissue, assign respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values, and display the model on the monitor. 2. The system according to claim 1 , wherein the parameter includes a property of the tissue. 3. The system according to claim 2 , wherein the property includes a local activation time (LAT). 4. The system according to claim 3 , wherein the processor is further configured to: identify, based on the first values and the second values, at least one region of decelerating electrical propagation, and generate an output indicating the region. 5. The system according to claim 1 , wherein the parameter includes an amount of energy delivered to the tissue. 6. The system according to claim 1 , wherein the processor is configured to interpolate the first values by iteratively assigning, to each voxel of the second voxels, an average of immediate neighbors of the voxel. 7. The system according to claim 6 , wherein the processor is configured to assign the average by assigning a weighted average in which the immediate neighbors are weighted by respective weights, which are derived from respective levels of confidence associated with the first values. 8. The system according to claim 6 , wherein the processor is configured to interpolate the first values by, prior to iteratively assigning the average to each voxel of the second voxels, assigning a respective initial value to each voxel of the second voxels, using any type of nearest neighbor interpolation. 9. The system according to claim 1 , wherein the processor is configured to display the model so as to indicate those of the second values assigned to the subset. 10. A method, comprising: assigning, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively, and some of the locations being on an endocardial surface of the tissue, and others of the locations being on an epicardial surface of the tissue; and assigning respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values. 11. The method according to claim 10 , wherein the property includes a local activation time (LAT). 12. The method according to claim 11 , further comprising: based on the first values and the second values, identifying at least one region of decelerating electrical propagation; and generating an output indicating the region. 13. The method according to claim 10 , wherein the parameter includes an amount of energy delivered to the tissue. 14. The method according to claim 10 , wherein interpolating the first values comprises interpolating the first values by iteratively assigning, to each voxel of the second voxels, an average of immediate neighbors of the voxel. 15. The method according to claim 14 , wherein assigning the average comprises assigning a weighted average in which the immediate neighbors are weighted by respective weights, which are derived from respective levels of confidence associated with the first values. 16. The method according to claim 14 , wherein interpolating the first values further comprises, prior to iteratively assigning the average to each voxel of the second voxels, assigning a respective initial value to each voxel of the second voxels, using any type of nearest neighbor interpolation. 17. The method according to claim 10 , further comprising displaying the model so as to indicate those of the second values assigned to the subset. 18. A computer software product comprising a tangible non-transitory computer-readable medium in which program instructions are stored, which instructions, when read by a processor, cause the processor to: assign, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively, and some of the locations being on an endocardial surface of the tissue, and others of the locations being on an epicardial surface of the tissue, and assign respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values. 19. The computer software product according to claim 18 , wherein the parameter includes a local activation time (LAT) of the tissue. 20. The system according to claim 1 , wherein the processor is configured to assign, to first voxels in the model of tissue of the chamber of the heart, respective first values of the parameter at respective locations on the tissue based on: determine positions of a distal end of a catheter based on signals from one or more electromagnetic sensors disposed at the distal end of the catheter; and determine the respective first values of the parameter based on signals generated by one or more additional sensors disposed at the distal end of the catheter.

Assignees

Inventors

Classifications

  • Displays specially adapted therefor · CPC title

  • A61B5/367Primary

    Electrophysiological study [EPS], e.g. electrical activation mapping or electro-anatomical mapping · CPC title

  • Biomedical image inspection · CPC title

  • involving models · CPC title

  • Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

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What does patent US11564610B2 cover?
A method includes assigning, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively. Some of the locations are on an endocardial surface of the tissue, and others of the locations are on an epicardial surface of the tissue. The method further includes as…
Who is the assignee on this patent?
Biosense Webster Israel Ltd
What technology area does this patent fall under?
Primary CPC classification A61B5/367. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 31 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).