Apparatus for lesion diagnosis and method thereof
AssigneeUniversity-Industry Cooperation Group of Kyung University
InventorMin Seob Kwak
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Abstract
An apparatus for lesion diagnosis and a method thereof are provided. The apparatus according to some example embodiments may perform acquiring a medical image of a subject, extracting a blood vessel region from the acquired medical image, measuring a distance between blood vessel bifurcation points in the extracted blood vessel region, and predicting a size of a lesion with respect to the measured distance. By doing this, the size of the lesion may be accurately predicted without intervention of human.
Claims12
An apparatus for lesion diagnosis, the apparatus comprising:
- a processor;
- and
- a memory configured to store one or more instructions,
- wherein the processor configured to, by executing the one or more stored instructions, perform:
- acquiring a medical image of a subject;
- extracting a blood vessel region from the acquired medical image;
- measuring a distance between blood vessel bifurcation points in the extracted blood vessel region;
- and
- predicting a size of a lesion based on the measured distance,
- wherein the medical image comprises a first image including the blood vessel region and a second image including both the blood vessel region and the lesion region,
- the extracting a blood vessel region comprises:
- extracting the blood vessel region from the first image, and
- the predicting a size of the lesion comprises:
- predicting the size of the lesion based on a relative size of a region including the blood vessel bifurcation points and the lesion region on the second image.
A method for lesion diagnosis performed by a computing device, the method comprising:
- acquiring a first medical image of a subject including a blood vessel region;
- extracting the blood vessel region from the first medical image;
- measuring a distance between blood vessel bifurcation points in the extracted blood vessel region,
- acquiring a second medical image including both the blood vessel region and a lesion region;
- and
- predicting a size of the lesion based on a relative size relationship between (i) a region including the blood vessel bifurcation points and (ii) the lesion region in the second medical image.
Dependencies are inferred from the claim text.