Methods and systems for assessing image quality in modeling of patient anatomic or blood flow characteristics

1. A method for automatically selecting image(s) to produce model(s) for a patient-specific simulation of blood flow, using at least one computer system, the method comprising:

receiving one or more images of at least a portion of a patient's anatomy;

obtaining one or more image properties of the received images using one or more processors of the at least one computer system;

obtaining, for a selected one of the received images, an identification of one or more image characteristics of the selected one of the received images, where the one or more image characteristics are associated with an anatomic feature of the patient's anatomy;

identifying a type of patient-specific simulation to perform using the received images;

receiving, for the type of patient-specific medical simulation using the received images, a selected level of simulation accuracy, precision, or performance;

quantifying a minimum image quality to render the received selected level of simulation accuracy, precision, or performance;

generating an image assessment based on the quantified minimum image quality, and the one or more image properties or image characteristics; and

applying the image assessment to each of the received images to select one or more images to produce one or more models for a patient-specific simulation of blood flow.

2. The method of claim 1 , further comprising:

combining or correcting one or more of the selected images to generate a model for a patient-specific simulation of blood flow.

3. The method of claim 1 , further comprising:

guiding simulation techniques based on the selected level of accuracy, precision, or performance.

4. The method of claim 1 , further comprising:

performing, using a processor of the computer system, a patient-specific simulation of blood flow using one or more of the selected images.

5. The method of claim 4 , further comprising:

performing anatomic localization of the at least a portion of the patient's anatomy based on the received images, wherein the simulation is based on the anatomic localization of the at least a portion of the patient's anatomy.

6. The method of claim 1 , further comprising:

estimating performance metrics based on time to complete a simulation or cost of a simulation, wherein the image assessment is based on the estimated performance metrics.

7. The method of claim 1 , further comprising:

calculating an image quality score based on the one or more image properties or the one or more image characteristics, wherein the image assessment is based on the image quality score.

8. The method of claim 1 , wherein the one or more image characteristics include one or more of: a local contrast level, a local noise level, a misregistration, a misalignment, a local motion anomaly, a local blurring anomaly, a partial volume effect, a blooming effect, and an artifact.

9. The method of claim 1 , wherein the one or more image properties include one or more of: an image resolution, a medical anatomy slice thickness, a number of scanner slices, a medication parameter, and a patient characteristic.

10. The method of claim 1 , further comprising:

generating and transmitting a rendering of a recommendation to perform or not perform patient-specific medical simulation based on the image assessment.

11. A system for automatically selecting image(s) to produce model(s) for a patient-specific simulation of blood flow, the system comprising:

a digital storage device storing instructions for assessing the quality of medical images of at least a portion of a patient's anatomy; and

a processor configured to execute the instructions to perform a method including:

receiving one or more images of at least a portion of a patient's anatomy;

obtaining one or more image properties of the received images using one or more processors of the at least one computer system;

obtaining, for a selected one of the received images, an identification of one or more image characteristics of the selected one of the received images, where the one or more image characteristics are associated with an anatomic feature of the patient's anatomy;

identifying a type of patient-specific simulation to perform using the received images;

receiving, for the type of patient-specific simulation using the received images, a selected level of accuracy, precision, or performance;

quantifying a minimum image quality to render the received selected level of accuracy, precision, or performance;

generating an image assessment based on the quantified minimum image quality, and the one or more image properties or image characteristics; and

applying the image assessment to each of the received images to select one or more images to produce one or more models for a patient-specific simulation of blood flow.

12. The system of claim 11 , wherein the processor is further configured for:

combining or correcting one or more of the selected images to generate a model for a patient-specific simulation of blood flow.

13. The system of claim 12 , wherein the processor is further configured for:

guiding simulation techniques based on the selected level of accuracy, precision, or performance.

14. The system of claim 11 , wherein the processor is further configured for:

performing, using a processor of the computer system, a patient-specific simulation of blood flow using one or more of the selected images.

15. The system of claim 14 , wherein the processor is further configured for:

performing anatomic localization of the at least a portion of the patient's anatomy based on the received images, wherein the simulation is based on the anatomic localization of the at least a portion of the patient's anatomy.

16. The system of claim 11 , wherein the processor is further configured for:

estimating performance metrics based on time to complete a simulation or cost of a simulation, wherein the image assessment is based on the estimated performance metrics.

17. The system of claim 11 , wherein the processor is further configured for:

calculating an image quality score based on the one or more image properties or the one or more image characteristics, wherein the image assessment is based on the image quality score.

18. The system of claim 11 , wherein the one or more image characteristics include one or more of: a local contrast level, a local noise level, a misregistration, a misalignment, a local motion anomaly, a local blurring anomaly, a partial volume effect, a blooming effect, and an artifact.

19. The system of claim 11 , wherein the one or more image properties include one or more of: an image resolution, a medical anatomy slice thickness, a number of scanner slices, a medication parameter, and a patient characteristic.

20. A non-transitory computer readable medium for use on at least one computer system containing computer-executable programming instructions for automatically selecting image(s) to produce model(s) for a patient-specific simulation of blood flow, that when executed by the at least one computer system, cause the performance of a method comprising:

receiving one or more images of at least a portion of a patient's anatomy;

obtaining one or more image properties of the received images using one or more processors of the at least one computer system;

obtaining, for a selected one of the received images, an identification of one or more image characteristics of the selected one of the received images, where the one or more image characteristics are associated with an anatomic feature of the patient's anatomy;

identifying a type of patient-specific medical modeling or simulation to perform using the received images;

receiving, for the type of patient-specific medical modeling or simulation using the received images, a selected level of accuracy, precision, or performance;

quantifying a minimum image quality to render the received selected level of accuracy, precision, or performance;

generating an image assessment based on the quantified minimum image quality, and the one or more image properties or the image characteristics; and

applying the image assessment to each of the received images to select one or more images to produce one or more models for a patient-specific simulation of blood flow.