Method and apparatus for embolism analysis
View Patent ↗Disclosed is an automated technique for analyzing the affected region due to an embolism in an organ. A segmented image of the organ vasculature is generated using image volume data received, for example, from a Computed Tomography (CT) machine. An embolus is then identified (either manually or automatically) within the segmented image, and the volume of the organ affected by the embolism is automatically determined. The volume of the organ affected by the embolism may be determined by computing a sub-tree within the segmented image, where the sub-tree comprises vessels that are distal to the identified embolus point. In one embodiment, the sub-tree is generated by determining a plane perpendicular to a vessel at the embolus point such that the sub-tree comprises a distal portion of the vasculature with respect to the plane. Unwanted overlapping trees are identified (e.g., by analyzing branch angles) and removed from the sub-tree. The volume of the organ affected by the embolism is determined by calculating a volume of the organ that is perfused by the sub-tree. The affected volume may be adjusted by scaling the volume based on the percentage occlusion of the partial embolus.
1. An automated method for analyzing the affected region due to an embolism in an organ comprising the steps of:
generating a segmented image of the organ vasculature using image volume data;
identifying an embolus point within said segmented image; and
automatically determining a volume of the organ affected by said embolism,
wherein said step of automatically determining a volume of the organ affected by said embolism further comprises the step of:
computing a sub-tree within said segmented image,
wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said method further comprising the steps of:
identifying said overlapping trees; and
removing said overlapping trees from said sub-tree, and
wherein said step of identifying overlapping trees further comprises the step of:
analyzing branch angles within said sub-tree image.
2. The method of claim 1 wherein said step of identifying overlapping trees further comprises the step of:
identifying overlapping vessels if a child branch has an acute branch angle along with a sibling branch having a supplementary branch angle.
3. An automated method for analyzing the affected region due to an embolism in an organ comprising the steps of:
generating a segmented image of the organ vasculature using image volume data;
identifying an embolus point within said segmented image; and
automatically determining a volume of the organ affected by said embolism,
wherein said step of automatically determining a volume of the organ affected by said embolism further comprises the step of:
computing a sub-tree within said segmented image, and
wherein said step of determining a volume of the organ affected by said embolism further comprises the step of:
calculating a volume of a region of said organ that is perfused by said sub-tree.
4. The method of claim 3 wherein said organ is a lung.
5. The method of claim 3 wherein said step of identifying an embolus point comprises receiving said embolus point as input from a user.
6. The method of claim 3 wherein said step of identifying an embolus point comprises automatically identifying said embolus point.
7. The method of claim 3 wherein said image volume data comprises computed tomography data.
8. The method of claim 3 wherein said step of automatically determining a volume of the organ affected by said embolism further comprises the step of:
scaling the volume of the organ affected by said embolism based on a percentage occlusion of a partial embolus.
9. The method of claim 3 wherein said step of computing a sub-tree within said segmented image further comprises the step of:
identifying vessels that are distal to said embolus point.
10. The method of claim 3 wherein said step of computing a sub-tree within said segmented image further comprises the step of:
determining a plane perpendicular to a vessel at said embolus point;
wherein said sub-tree comprises a distal portion of said vasculature with respect to said plane.
11. The method of claim 3 wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said method further comprising the steps of:
identifying said overlapping trees; and
removing said overlapping trees from said sub-tree.
12. The method of claim 3 wherein said step of calculating a volume of said organ that is perfused by said sub-tree further comprises the steps of:
generating an extended sub-tree by extending terminal branches of said sub-tree to an edge of said organ; and
computing a convex hull of said extended sub-tree.
13. Apparatus for analyzing the affected region due to an embolism in an organ comprising:
means for generating a segmented image of the organ vasculature using image volume data;
means for identifying an embolus point within said segmented image; and
means for automatically determining a volume of the organ affected by said embolism,
wherein said means for automatically determining a volume of the organ affected by said embolism further comprises:
means for computing a sub-tree within said segmented image,
wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said apparatus further comprising:
means for identifying said overlapping trees; and
means for removing said overlapping trees from said sub-tree, and
wherein said means for identifying overlapping trees further comprises:
means for analyzing branch angles within said sub-tree image.
14. The apparatus of claim 13 wherein said means for identifying overlapping trees further comprises:
means for identifying overlapping vessels if a child branch has an acute branch angle along with a sibling branch having a supplementary branch angle.
15. Apparatus for analyzing the affected region due to an embolism in an organ comprising:
means for generating a segmented image of the organ vasculature using image volume data;
means for identifying an embolus point within said segmented image; and
means for automatically determining a volume of the organ affected by said embolism,
wherein said means for automatically determining a volume of the organ affected by said embolism further comprises:
means for computing a sub-tree within said segmented image, and
wherein said means for determining a volume of the organ affected by said embolism further comprises:
means for calculating a volume of a region of said organ that is perfused by said sub-tree.
16. The apparatus of claim 15 wherein said means for identifying an embolus point comprises means for receiving said embolus point as input from a user.
17. The apparatus of claim 15 wherein said means for identifying an embolus point comprises means for automatically identifying said embolus point.
18. The apparatus of claim 15 wherein said image volume data comprises computed tomography data.
19. The apparatus of claim 15 wherein said means for automatically determining a volume of the organ affected by said embolism further comprises:
means for scaling the volume of the organ affected by said embolism based on a percentage occlusion of a partial embolus.
20. The apparatus of claim 15 wherein said means for computing a sub-tree within said segmented image further comprises:
means for identifying vessels that are distal to said embolus point.
21. The apparatus of claim 15 wherein said means for computing a sub-tree within said segmented image further comprises:
means for determining a plane perpendicular to a vessel at said embolus point;
wherein said sub-tree comprises a distal portion of said vasculature with respect to said plane.
22. The apparatus of claim 15 wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said apparatus further comprising:
means for identifying said overlapping trees; and
means for removing said overlapping trees from said sub-tree.
23. The apparatus of claim 15 wherein said means for calculating a volume of said organ that is perfused by said sub-tree further comprises:
means for generating an extended sub-tree by extending terminal branches of said sub-tree to an edge of said organ; and
means for computing a convex hull of said extended sub-tree.
24. A computer readable medium comprising stored computer program code for analyzing the affected region due to an embolism in an organ, said computer program code, when executed by a processor, defining the steps of:
generating a segmented image of the organ vasculature using image volume data;
identifying an embolus point within said segmented image; and
automatically determining a volume of the organ affected by said embolism,
wherein said computer program code defining the step of automatically determining a volume of the organ affected by said embolism further comprises computer program code defining the step of:
computing a sub-tree within said segmented image,
wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said computer readable medium further comprising computer program code defining the steps of:
identifying said overlapping trees; and
removing said overlapping trees from said sub-tree, and
wherein said computer program code defining the step of identifying overlapping trees further comprises computer program code defining the step of:
analyzing branch angles within said sub-tree image.
25. The computer readable medium of claim 24 wherein said computer program code defining the step of identifying overlapping trees further comprises computer program code defining the step of:
identifying overlapping vessels if a child branch has an acute branch angle along with a sibling branch having a supplementary branch angle.
26. A computer readable medium comprising stored computer program code for analyzing the affected region due to an embolism in an organ, said computer program code, when executed by a processor, defining the steps of:
generating a segmented image of the organ vasculature using image volume data;
identifying an embolus point within said segmented image; and
automatically determining a volume of the organ affected by said embolism,
wherein said computer program code defining the step of automatically determining a volume of the organ affected by said embolism further comprises computer program code defining the step of:
computing a sub-tree within said segmented image, and
wherein said computer program code defining the step of determining a volume of the organ affected by said embolism further comprises computer program code defining the step of:
calculating a volume of a region of said organ that is perfused by said sub-tree.
27. The computer readable medium of claim 26 wherein said computer program code defining the step of identifying an embolus point comprises computer program code defining the step of receiving said embolus point as input from the user.
28. The computer readable medium of claim 26 wherein said computer program code defining the step of identifying an embolus point comprises computer program code defining the step of automatically identifying said embolus point.
29. The computer readable medium of claim 26 wherein said image volume data comprises computed tomography data.
30. The computer readable medium of claim 26 wherein said computer program code defining the step of automatically determining a volume of the organ affected by said embolism further comprises computer program code defining the step of:
scaling the volume of the organ affected by said embolism based on a percentage occlusion of a partial embolus.
31. The computer readable medium of claim 26 wherein said computer program code defining the step of computing a sub-tree within said segmented image further comprises computer program code defining the step of:
identifying vessels that are distal to said embolus point.
32. The computer readable medium of claim 26 wherein said computer program code defining the step of computing a sub-tree within said segmented image further comprises computer program code defining the step of:
determining a plane perpendicular to a vessel at said embolus point;
wherein said sub-tree comprises a distal portion of said vasculature with respect to said plane.
33. The computer readable medium of claim 26 wherein said sub-tree image comprises a plurality of overlapping trees due to nearby vessels in said image, said computer readable medium further comprising computer program code defining the steps of:
identifying said overlapping trees; and
removing said overlapping trees from said sub-tree.
34. The computer readable medium of claim 26 wherein said computer program code defining the step of calculating a volume of said organ that is perfused by said sub-tree further comprises computer program code defining the steps of:
generating an extended sub-tree by extending terminal branches of said sub-tree to an edge of said organ; and
computing a convex hull of said extended sub-tree.