Determining plaque deposits in blood vessels
View Patent ↗The embodiments relate to a method and device for determining plaque deposits in coronary arteries. According to the method, a coronary angiography radiography image of a subject is obtained using an imaging modality. The obtained radiography image is calibrated for further analysis of the radiography image. Image processing techniques such as thresholding and histogram equalization are applied on the radiography image to extract vessel tree structure for analysis. Further, an inner lumen width and an outer vessel width are computed based on the processed radiography image. Further, a level of plaque deposition is determined based on the inner lumen and outer vessel dimensions. Further, the result based on the analysis is displayed to the user. The result includes the level of plaque deposits within the lumen on the vascular structure and possible risks posed by the plaque deposits to a subject.
1. A device for analyzing plaque deposition in a vascular structure, wherein the vascular structure includes a network of blood vessels having at least one of a branch and a crossover, and wherein the blood vessels of the vascular structure comprise an inner lumen and an outer vessel, the device comprising:
a processor; and
a memory coupled to the processor, wherein the memory and the processor cause the device to at least perform:
determining at least two points in a radiography image, wherein the radiography image is a coronary angiography image and comprises the vascular network of a subject;
processing the radiography image to enhance the vascular structure between the selected points;
computing at least a dimension of the outer vessel and a dimension of the inner lumen of a vessel tree between the selected points; and
determining a level of plaque deposition in the lumen of the vascular structure between the selected points, and determine a distribution of plaque within the vascular structure by computing the difference between the inner lumen dimension and the outer vessel dimension.
2. The device in accordance with claim 1 , wherein the computed the outer vessel dimension is an outer vessel width of the blood vessels.
3. The device in accordance with claim 1 , wherein the processing of the radiography image comprises applying one or more image processing algorithms to characterize the vascular structure from the radiography image.
4. The device in accordance with claim 3 , wherein the computed the outer vessel dimension is an outer vessel width of the blood vessels.
5. The device in accordance with claim 1 , wherein the inner lumen dimension of the vascular structure is computed using a centerline detection algorithm.
6. The device in accordance with claim 5 , wherein the computed outer vessel dimension is an outer vessel width of the blood vessels.
7. The device in accordance with claim 1 , wherein the memory and the processor are configured to cause the device to further perform: displaying the plaque deposition of the vascular structure, wherein the presentation module is configured to display an artery level plaque deposition and a view level plaque deposition.
8. A method for analyzing plaque deposition in a vascular structure, the method comprising:
determining at least two points in a coronary angiography image of a vascular structure, wherein the vascular structure comprises a network of blood vessels having at least one of a branch and a crossover and wherein the blood vessels of the vascular structure comprise an inner lumen and an outer vessel;
enhancing a vessel tree of the vascular structure within the selected points;
determining an inner lumen dimension and an outer vessel dimension of the vessel tree;
determining an extent of plaque deposition based on the inner lumen dimension and outer vessel dimension, wherein the determining the extent of plaque deposition comprises computing a difference between the inner lumen dimension and the outer vessel dimension; and
displaying the extent of plaque deposition in the blood vessels.
9. The method in accordance with claim 8 , wherein the inner lumen detection comprises computing a distance transform on one or more points on a centerline of the vessel tree.
10. The method in accordance with claim 8 , wherein enhancing the vessel tree comprises computing a Hessian matrix, applying a segmentation algorithm, or computing the Hessian matrix and applying the segmentation algorithm.
11. The method in accordance with claim 8 , wherein the determination of the inner lumen dimension comprises determining a centerline of the vessel tree.
12. The method in accordance with claim 11 , wherein the inner lumen detection comprises computing a distance transform on one or more points on the centerline of the vessel tree.
13. The method in accordance with claim 8 , wherein the determination of outer vessel dimension comprises dividing the vessel tree into one or more segments, wherein the segment size is determined based on a variation of inner lumen dimension.
14. The method in accordance with claim 8 , wherein the determination of outer vessel dimension comprises using the centerline of the vascular structure and computing a median of the inner lumen dimension of a segment of a blood vessel of the vascular structure.
15. The method in accordance with claim 8 , wherein the displaying the extent of plaque deposition on the coronary angiography image comprises displaying an artery level plaque deposition and a view level plaque deposition.