Method and apparatus for evaluating scanners

• US 5,689,443 A
• Filed: 05/25/1995
• Issued: 11/18/1997
• Est. Priority Date: 05/25/1995
• Status: Expired due to Term

• Current Assignee: RamSoft Incorporated
• Original Assignee: Naganathasastrigal Ramanathan
• Inventors: Ramanathan, Naganathasastrigal
• Primary Examiner(s): Voeltz, Emanuel T.
• Assistant Examiner(s): VO, HIEN XUAN
• Application Number:
  US08/451,035
• Time in Patent Office: 908 Days
• Field of Search: 364/413.07, 364/413.22, 364/413.25, 364/551.01, 364/413.13, 364/413.01, 364/525, 128/660, 128/660.01, 128/660.03, 73/599, 73/602
• US Class Current: 702/183
• CPC Class Codes: A61B 8/00 Diagnosis using ultrasonic, sonic or infrasonic waves imaging of objects using sonar G01S15/00
• CPC Class Codes: A61B 8/587 Calibration phantoms models for medical purposes G09B23/28
• CPC Class Codes: G01B 17/00 Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations
• CPC Class Codes: G01S 7/52052 with simulation of echoes

Abstract

The apparatus and method for evaluating images for quality assurance parameters of ultrasound image scanners are described. The apparatus includes a digital computer with display output, a video frame grabber or direct image read-out interface from ultrasound scanner, a digital storage, and software. Using a transducer, an ultrasound scanner produces an image, of test objects or phantom, that is temporarily stored in scanner memory. The phantom image is transferred to the memory of the processing computer either by digitizing the video output of the scanner or reading directly by digital means from the scanner. The software enables the user to acquire the image by the above means; associate the images with information on scanner, operator, and expected performance standards and accuracies. As selected by user, the software evaluates scanner performance parameters and produces quantitative results, graphs, and reports for screen display and printer. The processed and inputted information is stored with the measurement set and images for future access. The software generates, using stored and current results, trend graphs of evaluated performance parameters.

Claims

1. An apparatus for quantitatively evaluating image quality of an ultrasound scanner, comprising:

a processor;

a storage device;

at least one output device;

at least one input device; and

software means operative on the processor for;

(a) maintaining in the storage device information on the scanner;

(b) maintaining in the storage device information regarding expected performance standards;

(c) maintaining in the storage device information regarding at least one phantom test object;

(d) inputting via said at least one input device;

(e) interactively specifying said at least one phantom test object in image for processing;

(f) processing said specified phantom test object in image to quantitatively determine image quality characteristics of said scanner to evaluate the scanner for diagnostic purposes;

(g) maintaining in the storage device results of said processing; and

(h) outputting via said at least one output device results of said processing.

2. The apparatus of claim 1, said software means further interactively allows for selection of a region in image with said phantom test object for analysis.

3. The apparatus of claim 1, said software means further interactively allows for setting object processing parameters and limits for analysis.

4. The apparatus of claim 1, wherein said output device is a printer.

5. The apparatus of claim 1, wherein said output device is a display screen.

6. A method of quantitatively evaluating image quality characteristics of an ultrasound scanner, comprising the steps of:

(a) selecting a phantom test object within an image;

(b) quantitative processing of said image to evaluate image quality

characteristics of the scanner for diagnostic purposes; and

(c) outputting results of the quantitative processing.

7. The method of claim 6, wherein said step of selecting an image involves selecting a region of said phantom test object.

8. The method of claim 6, wherein said quantitative processing includes evaluating object profile of said phantom test object in axial and lateral directions.

9. The method of claim 6, wherein said quantitative processing includes evaluating calibration.

10. The method of claim 6, wherein said quantitative processing includes evaluating uniformity.

11. The method of claim 6, wherein said quantitative processing includes evaluating vertical pin objects.

12. The method of claim 6, wherein said quantitative processing includes evaluating horizontal pin objects.

13. The method of claim 6, wherein said quantitative processing includes evaluating cyst objects.

14. The method of claim 6, wherein said quantitative processing includes evaluating tumor objects.

15. The method of claim 6, wherein said quantitative processing includes evaluating distance accuracy in axial and lateral directions.

16. The method of claim 6, wherein said quantitative processing includes evaluating dead zone and penetration depth.

17. The method of claim 6, wherein said outputting the analysis includes the compliance of processed results with stored performance standards.

18. The method of claim 6, wherein said outputting the analysis includes trends of processed results from several sets of tests.

19. The method of claim 6, wherein said quantitative processing includes evaluating at least one of:

(a) said phantom test object diameter in axial and lateral directions;

(b) said phantom test object edge in axial and lateral directions;

(c) said phantom test object center;

(d) said phantom test object area;

(e) said phantom test object mean gray value; and

(f) fluctuations in said phantom test object mean gray value.

20. The method of claim 6, wherein said quantitative processing includes evaluating distance between said phantom test objects in axial and lateral directions.