Automated fiducial marker planning system and related methods
View Patent ↗A system and method are described for determining candidate fiducial marker locations in the vicinity of a lesion. Imaging information and data are input or received by the system and candidate marker locations are calculated and displayed to the physician. Additionally, interactive feedback may be provided to the physician for manually selected or identified sites. The physician may thus receive automatic real time feedback for a candidate fiducial marker location and adjust or accept a constellation of fiducial marker locations. 3D renderings of the airway tree, lesion, and marker constellations may be displayed.
1. A preoperative method for identifying locations for placing markers in the vicinity of a target in a patient prior to carrying out a surgical marker placement procedure, said method comprising:
receiving image information of a thoracic anatomy including image information corresponding to segmented airways of the patient;
receiving image information of a target in the vicinity of said thoracic anatomy including image information corresponding to segmented target tissue of the patient; and
computing at least one candidate marker location; wherein said step of computing is carried out with a computer system comprising a processor operable to:
a) identify anchorable points and their locations in tissue in the vicinity of the airways;
b) assign a score to each of said anchorable points based on at least one constraint, and wherein the at least one constraint includes the computationally identified anchorable point location, the target location, and the distance from the anchorable point to the target; and
c) selecting at least one candidate marker location based on the score of the anchorable points.
2. The method of claim 1 wherein the computing step comprises automatically identifying at least one candidate marker location for placement of a marker based on the image information arising from said thoracic anatomy and the target.
3. The method of claim 2 wherein said computing step comprises identifying at least one candidate location in the vicinity of an airway wall.
4. The method of claim 2 further comprising preparing a 3D model of an obstacle in the vicinity of the thoracic anatomy, and removing any candidate locations near said obstacle from said candidate marker location.
5. The method of claim 4 wherein said obstacle is a blood vessel.
6. The method of claim 2 further comprising automatically removing any candidate marker locations which would obstruct visualization of another selected candidate marker location.
7. The method of claim 6 wherein visualization is carried out by a vision guiding system.
8. The method of claim 2 wherein said computing step is based on a patient's breathing motion.
9. The method of claim 2 wherein said computing step is based on one of a treatment-specific constraint and a marker characteristic.
10. The method of claim 2 comprising assigning location specific information to each of said candidate marker locations.
11. The method of claim 10 comprising determining at least one constellation of marker locations based on said location specific information, said constellation comprising at least two candidate marker locations.
12. The method of claim 11 comprising ranking each said constellation based on said location specific information.
13. The method of claim 2 further comprising selecting one or more selected locations from said at least one candidate marker location.
14. The method of claim 13 comprising automatically planning at least one route to said selected marker location.
15. The method of claim 2 comprising displaying said at least one candidate marker location.
16. The method of claim 13 comprising displaying said at least one selected marker location.
17. The method of claim 13 comprising displaying said at least one route.
18. The method of claim 2 wherein said target is a tissue.
19. The method of claim 2 wherein the thoracic anatomy is an airway tree.
20. The method of claim 2 comprising ranking each said candidate marker location.