Method and device for identifying and assigning coronary calcification to a coronary vessel and computer program product
First Claim
1. A method for identifying and assigning coronary calcification to at least one coronary vessel of a heart in a patient, the method comprising:
- identifying pixels representing coronary calcification based on a 3D image data record of the heart in the patient, the 3D image data record being previously generated by an imaging instrument without a contrast agent being administered to the patient;
determining spatial accumulation of the identified pixels;
generating at least one 3D model of a profile of the coronary vessels in a human including spatial coordinates of centerlines and enveloping curves of the coronary vessels, the at least one 3D model depicting a right coronary artery, a left coronary artery, a left circumflex artery and a left anterior descending artery of the heart, the at least one 3D model being generated on a basis of a multiplicity of 3D data records of hearts with coronary vessels generated from a number of humans; and
assigning the determined spatial accumulation of the identified pixels representing coronary calcification to the at least one 3D model of the profile of the coronary vessels in a human for distinguishing between a single vessel disease (SVD), a two vessel disease (2VD), a three vessel disease (3VD) and a four vessel disease (4VD).
3 Assignments
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Accused Products
Abstract
A method and a device are disclosed for identifying and assigning coronary calcification to at least one coronary vessel of a heart in a patient. In at least one embodiment, coronary calcification is identified on the basis of a 3D image data record of the heart in the patient, which data record was generated by an imaging instrument without contrast agent being administered; at least one 3D model of the profile of the coronary vessels in a human is provided; and wherein the identified coronary calcification in the patient is assigned to at least one coronary vessel of the at least one 3D model of the profile of the coronary vessels in a human. At least one embodiment moreover relates to a computer program product, having a computer program that is stored on a medium that can be read by a computational unit, for carrying out the method for identifying and assigning coronary calcification when the computer program is loaded into the computational unit.
54 Citations
20 Claims
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1. A method for identifying and assigning coronary calcification to at least one coronary vessel of a heart in a patient, the method comprising:
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identifying pixels representing coronary calcification based on a 3D image data record of the heart in the patient, the 3D image data record being previously generated by an imaging instrument without a contrast agent being administered to the patient; determining spatial accumulation of the identified pixels; generating at least one 3D model of a profile of the coronary vessels in a human including spatial coordinates of centerlines and enveloping curves of the coronary vessels, the at least one 3D model depicting a right coronary artery, a left coronary artery, a left circumflex artery and a left anterior descending artery of the heart, the at least one 3D model being generated on a basis of a multiplicity of 3D data records of hearts with coronary vessels generated from a number of humans; and assigning the determined spatial accumulation of the identified pixels representing coronary calcification to the at least one 3D model of the profile of the coronary vessels in a human for distinguishing between a single vessel disease (SVD), a two vessel disease (2VD), a three vessel disease (3VD) and a four vessel disease (4VD). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20)
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18. A device, comprising:
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a storage unit configured to store a 3D image data record of a heart in a patient and a 3D model of a profile of coronary vessels in a human; and a computational unit configured to identify pixels representing coronary calcification based on a 3D image data record of the heart in the patient, the 3D image data record being previously generated by an imaging instrument without a contrast agent being administered to the patient, determine spatial accumulation of the identified pixels, generate at least one 3D model of a profile of the coronary vessels in a human including spatial coordinates of centerlines and enveloping curves of the coronary vessels, the at least one 3D model depicting a right coronary artery, a left coronary artery, a left circumflex artery and a left anterior descending artery of the heart, the at least one 3D model being generated on a basis of a multiplicity of 3D data records of hearts with coronary vessels generated from a number of humans, and assign the determined spatial accumulation of the identified pixels representing coronary calcification to the at least one 3D model of the profile of the coronary vessels in a human for distinguishing between a single vessel disease (SVD), a two vessel disease (2VD), a three vessel disease (3VD) and a four vessel disease (4VD).
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19. A non-transitory computer-readable medium including a computer program product, the computer program product comprising instructions, which when executed by a processor, causes the processor to perform functions including:
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identifying pixels representing coronary calcification based on a 3D image data record of the heart in the patient, the 3D image data record being previously generated by an imaging instrument without a contrast agent being administered to the patient; determining spatial accumulation of the identified pixels; generating at least one 3D model of a profile of the coronary vessels in a human including spatial coordinates of centerlines and enveloping curves of the coronary vessels, the at least one 3D model depicting a right coronary artery, a left coronary artery, a left circumflex artery and a left anterior descending artery of the heart, the at least one 3D model being generated on a basis of a multiplicity of 3D data records of hearts with coronary vessels generated from a number of humans; and assigning the determined spatial accumulation of the identified pixels representing coronary calcification to the at least one 3D model of the profile of the coronary vessels in a human for distinguishing between a single vessel disease (SVD), a two vessel disease (2VD), a three vessel disease (3VD) and a four vessel disease (4VD).
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Specification