Reconstruction of an anatomical structure from intrabody measurements
US-2020289025-A1 · Sep 17, 2020 · US
US11819293B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11819293-B2 |
| Application number | US-202217687747-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 7, 2022 |
| Priority date | Oct 25, 2016 |
| Publication date | Nov 21, 2023 |
| Grant date | Nov 21, 2023 |
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There is provided a method of displaying a pre-acquired three dimensional (3D) image of at least a portion of an organ of a patient, the method comprising: receiving a plurality of electrical readings, each from a different electrode mounted on a catheter inside the portion of the organ of the patient, wherein the electrodes are mounted on the catheter at known distances from each other, transforming the plurality of electrical readings to a corresponding plurality of image points using a mapping transformation that transforms each electrical reading of the catheter from inside the portion of the organ of the patient to an anatomically corresponding image point in the 3D image based on the known distances, and displaying the 3D image with a marking of at least one of the plurality of image points.
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What is claimed is: 1. A method of transforming electrical readings of electrical fields within an organ region to a 3-D map of the organ region, the method comprising: accessing a pre-acquired 3-D image representing the organ region; receiving a plurality of the electrical readings from a plurality of electrodes within the organ region, and mounted on a catheter at known distances from each other; identifying correspondences between selected electrical readings of the plurality of electrical readings and respective anatomical locations by comparison between at least the selected electrical readings and points of the pre-acquired 3-D image; generating a mapping transformation, the generating comprising assigning positions to the plurality of electrical readings based on their values, constrained by: the known distances, and the relative positions of their respective corresponding points of the pre-acquired 3-D image; and transforming the plurality of electrical readings to generate the 3-D map, using the mapping transformation. 2. The method of claim 1 , wherein the assigning positions comprises: generating an initial mapping transformation which scales positions of the selected electrical readings in the 3-D map according to relative positions of their respective corresponding points in the pre-acquired 3-D images; and revising the initial mapping, constrained by the known distances. 3. The method of claim 1 , wherein the generating is performed using electrical readings corrected for breathing motions. 4. The method of claim 1 , wherein the identifying correspondences comprises manipulating the catheter to position at least one of the plurality of electrodes at an anatomically defined location, and associating electrical readings from the at least one electrode obtained while the catheter is at the anatomically defined location to positions in the pre-acquired 3-D image which depict the anatomically defined location. 5. The method of claim 4 , wherein the anatomically defined location is a coronary sinus. 6. The method of claim 1 , wherein the catheter is a first catheter and the organ region is a first organ region, and comprising receiving additional electrical readings from a second catheter within a second organ region, and transforming the additional electrical readings according to the mapping transformation. 7. The method of claim 6 , wherein the first and second organ regions are different lumens of a heart. 8. The method of claim 6 , wherein the first organ region is a coronary sinus, and the second organ region is a heart chamber. 9. The method of claim 6 , comprising receiving new electrical readings from the catheter, including new electrical readings in positions corresponding to said respective anatomical readings, and using the difference between the original organ readings and the new electrical readings to update the mapping transformation. 10. The method of claim 1 , wherein the pre-acquired image is a CT or MRI image. 11. A method of displaying a pre-acquired three dimensional (3-D) CT or MRI image of at least a portion of an organ of a patient, the method comprising: receiving a plurality of electrical readings, each from a different electrode mounted on a catheter inside the portion of the organ of the patient, wherein the electrodes are mounted on the catheter at known distances from each other; transforming the plurality of electrical readings to a corresponding plurality of image points using a mapping transformation that transforms each electrical reading of the catheter from inside the portion of the organ of the patient to an anatomically corresponding image point in the 3-D CT or MRI image based on the known distances; and displaying the 3-D CT or MRI image marked with at least one of the plurality of image points. 12. The method of claim 11 , wherein the location of the at least one of the plurality of image points is maintained relative to the 3-D CT or MRI image during changes to the location of the electrodes relative to an external reference coordinate system, if the location of the electrodes does not change in relation to the anatomy of the at least a portion of the organ. 13. The method of claim 1 , wherein the mapping transformation is computed independently of a static inertial coordinate system and of manually positioned landmark points. 14. The method of claim 11 , further comprising: receiving a new electrical reading; transforming the new electrical reading to a new anatomically corresponding image point using the mapping transformation; and displaying the 3-D CT or MRI image marked with of the new anatomically corresponding image point. 15. The method of claim 14 , wherein the mapping transformation is a transformation generated based on electrical readings all from a first part of the organ; and the new electrical reading is from a second part of the organ, different from the first part of the heart. 16. The method of claim 15 , wherein the organ comprises a heart and each of the first and second parts of the heart is selected from the group consisting of: right atrium (RA), left atrium (LA), right ventricle (RV), left ventricle (LV), and aorta. 17. The method of claim 11 , further comprising: receiving a new electrical reading; generating a new mapping transformation using the new electrical reading; transforming the new electrical reading to a new anatomically corresponding image point using the new mapping transformation; and displaying the 3-D CT or MRI image marked with the new image point. 18. The method of claim 11 , wherein the mapping transformation is generated based on a probabilistic correspondence model that defines the correspondence between the electrical readings and points of the pre-acquired image as a probability. 19. The method of claim 18 , wherein the probabilistic correspondence model is optimized while respecting the known distances between the electrodes that acquired the electrical readings. 20. The method of claim 17 , wherein the mapping transformation is generated by performing: receiving image data representing the 3-D CT or MRI image; receiving electrical readings from the catheter at multiple points inside the organ of the patient; and generating the mapping transformation based on the image data and the electrical readings. 21. The method of claim 17 , wherein the mapping transformation is generated by performing: receiving electrical readings from the catheter at multiple points inside the organ of the patient; receiving estimations of electrical reading data for points inside the 3-D CT or MRI image; and generating the mapping transformation based on the electrical readings, and the estimations of electrical reading data.
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