Method and system for image processing to determine blood flow
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
1. A computer-implemented method for image processing to determine blood flow, the method comprising:
receiving patient-specific imaging data regarding a geometry of an anatomical structure of a patient, the anatomical structure including at least a portion of one or more arteries supplying blood to brain tissue of the patient;
generating a three-dimensional model representing at least a portion of the anatomical structure based on the patient-specific imaging data, the portion of the anatomical structure including at least the portion of the one or more arteries supplying blood to the brain tissue of the patient;
determining a mass or volume of the brain tissue of the patient using one or both of the received patient-specific imaging data and the generated three-dimensional model;
generating a blood flow model relating to a blood flow characteristic within the portion of the anatomical structure based, at least in part, on the mass or volume of the brain tissue of the patient; and
determining at least one value of the blood flow characteristic of the patient within the portion of the anatomical structure based on the three-dimensional model and the blood flow model.
2. The computer-implemented method of claim 1 , further comprising determining a resistance to blood flow through a cerebral artery using the blood flow characteristic of the patient.
3. The computer-implemented method of claim 1 , further comprising-determining cerebral perfusion based upon the three-dimensional model and the blood flow model.
4. The computer-implemented method of claim 1 , further comprising:
modifying the three-dimensional model in response to an input from a user; and
determining at least one value of a second blood flow characteristic of the patient within the portion of the anatomical structure based on the modified three-dimensional model and the blood flow model.
5. The computer-implemented method of claim 1 , wherein the patient-specific imaging data is obtained or received using computer tomography or magnetic resonance imaging techniques.
6. The computer-implemented method of claim 1 , further comprising generating the three-dimensional model based on the patient-specific imaging data by locating boundaries of lumens of at least the portion of the plurality of arteries supplying blood to the brain tissue using the patient-specific imaging data.
7. The computer-implemented method of claim 1 , wherein the blood flow characteristic comprises a ratio of flows and/or pressures of cerebral blood flow.
8. The computer-implemented method of claim 1 , wherein the blood flow model includes at least one lumped parameter model representing blood flow through boundaries of the three-dimensional model.
9. The computer-implemented method of claim 1 , further comprising determining the blood flow characteristic using a parameter associated with at least one of a level of hyperemia, a level of exercise, or a medication.
10. The computer-implemented method of claim 9 , further comprising determining the blood flow characteristic using a parameter associated with the physical condition of the patient, the parameter corresponding to a level of stress, level of hyperemia, or medications of the patient.
11. The computer-implemented method of claim 1 , wherein the blood flow model is generated, at least in part, based at least on a measured blood pressure of the patient.
12. The computer-implemented method of claim 1 , wherein:
the mass or the volume of patient's brain tissue is determined based on the patient-specific imaging data.
13. A system for image processing to determine blood flow, the system including:
at least one data storage device that stores instructions for image processing to determine blood flow; and
at least one processor configured to execute the instructions to perform a method including:
receiving patient-specific imaging data regarding a geometry of an anatomical structure of a patient, the anatomical structure including at least a portion of one or more arteries supplying blood to brain tissue of the patient;
generating a three-dimensional model representing at least a portion of the anatomical structure based on the patient-specific imaging data, the portion of the anatomical structure including at least the portion of the one or more arteries supplying blood to the brain tissue of the patient;
determining a mass or volume of the brain tissue of the patient using one or both of the received patient-specific imaging data and the generated three-dimensional model;
generating a blood flow model relating to a blood flow characteristic within the portion of the anatomical structure based, at least in part, on the mass or volume of the brain tissue of the patient; and
determining at least one value of the blood flow characteristic of the patient within the portion of the anatomical structure based on the three-dimensional model and the blood flow model.
14. The system of claim 13 , further comprising determining a resistance to blood flow through a cerebral artery using the blood flow characteristic of the patient.
15. The system of claim 13 , further comprising—determining cerebral perfusion based upon the three-dimensional model and the blood flow model.
16. The system of claim 14 , further comprising:
modifying the three-dimensional model in response to an input from a user; and
determining at least one value of a second blood flow characteristic of the patient within the portion of the anatomical structure based on the modified three-dimensional model and the blood flow model.
17. The system of claim 13 , wherein the patient-specific imaging data is obtained or received using computer tomography or magnetic resonance imaging techniques.
18. The system of claim 13 , further comprising generating the three-dimensional model based on the patient-specific imaging data by locating boundaries of lumens of at least the portion of the plurality of arteries supplying blood to the brain tissue using the patient-specific imaging data.
19. The system of claim 13 , wherein the blood flow model includes at least one lumped parameter model representing blood flow through boundaries of the three-dimensional model.
20. A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform a method for image processing to determine blood flow, the method including:
receiving patient-specific imaging data regarding a geometry of an anatomical structure of a patient, the anatomical structure including at least a portion of one or more arteries supplying blood to brain tissue of the patient;
generating a three-dimensional model representing at least a portion of the anatomical structure based on the patient-specific imaging data, the portion of the anatomical structure including at least the portion of the one or more arteries supplying blood to the brain tissue of the patient;
determining a mass or volume of the brain tissue of the patient using one or both of the received patient-specific imaging data and the generated three-dimensional model;
generating a blood flow model relating to a blood flow characteristic within the portion of the anatomical structure based, at least in part, on the mass or volume of the brain tissue of the patient; and
determining at least one value of the blood flow characteristic of the patient within the portion of the anatomical structure based on the three-dimensional model and the blood flow model.