System for dynamically improving medical image acquisition quality

1. A system for dynamically improving quality of medical images acquired by a medical imaging device, comprising:

at least one processing device including:

an image analyzer for automatically parsing and analyzing data representing an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify defects in said image due to image acquisition settings by examining said data representing said image for predetermined patterns associated with image defects;

a correction processor for using a predetermined information map associating image defects with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using said medical image acquisition device in response to an identified defect; and

a message generator for generating a message for presentation to a user indicating an identified defect and suggesting use of said corrected image acquisition parameters for re-acquiring an image using said medical image acquisition device.

2. A system according to claim 1 , wherein

said correction processor uses a predetermined information map associating image defects with corresponding corrective image acquisition parameters and with corresponding defect messages describing defects and

said message generator generates a message for presentation to a user including a defect message associated with an identified defect derived using said predetermined information map.

3. A system according to claim 2 , wherein

said defect messages indicate a reason for occurrence of a corresponding defect.

4. A system according to claim 2 , wherein

said image header data is DICOM (Digital Imaging and Communications in Medicine) compatible image header data.

5. A system according to claim 1 , including

an image header data analyzer for analyzing a header of said image to identify imaging characteristics used in acquiring said image and

said image analyzer automatically selects said predetermined patterns from a plurality of predetermined patterns in response to the identified imaging characteristics.

6. A system according to claim 1 , wherein

said image analyzer automatically selects said predetermined patterns from a plurality of predetermined patterns associated with a plurality of known defect types in response to a type of imaging modality device.

7. A system according to claim 1 , wherein

said image analyzer automatically selects said predetermined patterns from a plurality of predetermined patterns in response to data identifying said particular anatomical feature.

8. A system according to claim 1 , including

an image metadata data analyzer for analyzing metadata of said image by comparing individual metadata items with corresponding predetermined ranges to identify metadata items exceeding said ranges.

9. A system according to claim 1 , including

a user interface generator for automatically generating data representing a display image visually identifying at least one cause of a defect in said image.

10. A system according to claim 9 , wherein

said display image prompts a user with a resolution action or acquisition parameters to reduce said defect in said image.

11. A system for dynamically improving quality of medical images acquired by a medical imaging device, comprising:

at least one processing device including:

an image analyzer for automatically parsing and analyzing data representing an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify defects in said image by examining said data representing said image for predetermined patterns associated with image defects;

a correction processor for using a predetermined information map associating image defects with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using said image acquisition device in response to an identified defect;

a message generator for generating a message for presentation to a user indicating an identified defect and suggesting use of said corrected image acquisition parameters for re-acquiring an image; and

an image header data analyzer for analyzing a header of said image to identify imaging characteristics used in acquiring said image and comparing the identified imaging characteristics with corresponding imaging characteristics in a template header of an image of said particular anatomical feature and acquired using an imaging modality device of the same type, to identify differences and

said message generator generates a message indicating an identified difference for presentation to a user.

12. A system according to claim 2 , wherein

said image header data analyzer generates a message indicating an identified difference for presentation to a user in response to an identified difference exceeding a predetermined threshold.

13. A system according to claim 1 , including

an image device setting unit for automatically updating settings of said image acquisition device in response to said corrected image acquisition parameters.

14. A system for dynamically improving quality of medical images acquired by an MR (Magnetic Resonance) medical imaging device, comprising:

at least one processing device including:

an image data analyzer for automatically analyzing metadata of an image of a particular anatomical feature of a patient acquired by an MR medical image acquisition device to identify imaging acquisition related characteristics used in acquiring said image;

an image analyzer for automatically parsing and analyzing data representing an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify defects in said image by examining said data representing said image for predetermined patterns associated with image defects;

a correction processor for using a predetermined information map associating image defects with corresponding corrective image acquisition parameters and with DICOM (Digital Imaging and Communications in Medicine) compatible header imaging characteristics, to determine corrected image acquisition parameters for use in re-acquiring an image using said image acquisition device in response to an identified defect; and

an image device setting unit for automatically updating settings of said image acquisition device in response to said corrected image acquisition parameters;

a message generator for generating a message for presentation to a user indicating an identified defect or particular imaging characteristic and suggesting use of said corrected image acquisition parameters for re-acquiring an image.

15. A system according to claim 14 , wherein

said image data analyzer compares the identified imaging characteristics with corresponding imaging characteristics in a template header of an image of said particular anatomical feature and acquired using an imaging modality device of the same type, to identify differences and

said correction processor uses a predetermined information map associating differences in DICOM compatible header imaging characteristic between a defective image and a defect free image, with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using said image acquisition device in response to an identified difference.

16. A system according to claim 14 , wherein

said image analyzer automatically parses and analyzes data representing said image to identify patterns associated with at least one of, (a) banding, (b) aliasing and (c) off-resonance effects.

17. A system according to claim 14 , wherein

said image analyzer automatically parses and analyzes data representing said image to identify defects associated with at least one of, (a) noise, (b) image contrast, (c) slice position and (d) slice orientation.

18. A system according to claim 14 , wherein

said image analyzer automatically parses and analyzes data representing said image to identify defects associated with at least one of, (a) blurring, (b) ghosting, (c) image homogeneity and (d) field of view.

19. A system according to claim 14 , wherein

said image analyzer automatically parses and analyzes data representing said image to identify defects associated with at least one of, (a) positioning of said anatomical feature in said image, (b) MR device coil selection, (c) pulse sequence timing and (d) image consistency over a plurality of stacked slices.

20. A system according to claim 14 , including

an error message generator for generating error messages identifying a number of detected defects and nature of an individual defect.

21. A system for dynamically improving quality of medical images acquired by a medical imaging device, comprising:

at least one processing device including:

an image header data analyzer for automatically analyzing a DICOM (Digital Imaging and Communications in Medicine) compatible header of an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify imaging acquisition related characteristics used in acquiring said image and comparing the identified imaging characteristics with corresponding imaging characteristics in a template header of an image of said particular anatomical feature and acquired using an imaging modality device of the same type, to identify differences;

a correction processor for using a predetermined information map associating DICOM compatible header imaging characteristics with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using said image acquisition device in response to an identified difference; and

a message generator for generating a message for presentation to a user indicating an identified difference and suggesting use of said corrected image acquisition parameters for re-acquiring an image.

22. A system according to claim 21 , including

an image analyzer for automatically parsing and analyzing data representing an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify defects in said image by examining said data representing said image for predetermined patterns associated with image defects,

said correction processor uses a predetermined information map associating image defects with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using said image acquisition device in response to an identified defect; and

said message generator generates a message for presentation to a user indicating an identified defect and suggesting use of said corrected image acquisition parameters for re-acquiring an image.