Method and system for automatic quality control used in computerized analysis of CT angiography

1. A system for identifying a data quality issue associated with medical diagnostic data, the system comprising:

an imaging apparatus configured to generate imaging data including a heart region and an aorta region of a patient; and

a processor operably coupled to the imaging apparatus to receive the generated imaging data, the processor configured to:

analyze the received imaging data;

identify a data quality issue associated with the received imaging data based on the analysis of the received imaging data;

generate a message including the identified data quality issue; and

send the generated message to a user, wherein the data quality issue is identified by comparing the analyzed imaging data with a quality control parameter and identifying the data quality issue based on the comparison, and wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.

2. A non-transitory computer-readable medium with programmed instructions that, upon execution by a processor, cause the processor to identify a data quality issue associated with medical diagnostic data, the instructions comprising:

receiving imaging data;

analyzing the received imaging data;

identifying a data quality issue associated with the received imaging data based on the analysis of the received imaging data;

generating a message including the identified data quality issue; and

sending the generated message to a user,

wherein identifying the data quality issue comprises:

comparing the analyzed imaging data with a quality control parameter; and

identifying the data quality issue based on the comparison, wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.

3. A method of identifying a data quality issue associated with medical diagnostic data, the method comprising:

receiving imaging data at a computing device;

analyzing the received imaging data at the computing device;

identifying a data quality issue associated with the received imaging data based on the analysis of the received imaging data at the computing device;

generating a message including the identified data quality issue at the computing device; and

sending the generated message to a user,

wherein identifying the data quality issue comprises:

comparing the analyzed imaging data with a quality control parameter; and

identifying the data quality issue based on the comparison,

wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.

4. The method of claim 3 , wherein sending the generated message to the user is a method selected from the group consisting of printing the generated message, displaying the generated message, and playing audibly the generated message.

5. The method of claim 3 , wherein sending the generated message comprises a text message.

6. The method of claim 3 , wherein the imaging data is computed tomography data.

7. The method of claim 3 , wherein the imaging data is computed tomography angiography data.

8. The method of claim 3 , wherein the generated message includes an assessment of the image data quality.

9. The method of claim 3 , wherein the assessment is a characteristic selected from the group consisting of a signal-to-noise ratio value, an image resolution value, a physical artifact indicator, a reconstruction artifact indicator, a motion artifact indicator, and a contrast injection density value.

10. The method of claim 3 , wherein the assessment of the image data quality is based on a determination that a heart region is not fully visible.

11. The method of claim 3 , wherein the quality control parameter is a size of a heart region defined in the analyzed imaging data.

12. The method of claim 3 , wherein the quality control parameter is a location of a heart region in the analyzed imaging data.

13. The method of claim 3 , wherein the quality control parameter is an intensity level of a lung region defined in the analyzed imaging data.

14. The method of claim 3 , wherein the quality control parameter is a volume of contrast defined in the analyzed imaging data.

15. The method of claim 3 , wherein the quality control parameter is a position of an object in a heart region defined from the analyzed imaging data.

16. The method of claim 3 , wherein the quality control parameter is an orientation of an object in a heart region defined from the analyzed imaging data.

17. The method of claim 3 , wherein the quality control parameter is a position of an object relative to an aorta object defined in the analyzed imaging data.

18. The method of claim 3 , wherein the quality control parameter is a size of an object defined in the analyzed imaging data.