Devices and methods for reading and interpreting guaiac-based occult blood tests

• US 20020136436A1
• Filed: 02/23/2001
• Published: 09/26/2002
• Est. Priority Date: 02/23/2001
• Status: Active Grant

• Current Assignee: Beckman Coulter Incorporated (Danaher Corporation)
• Original Assignee: Beckman Coulter Incorporated (Danaher Corporation)
• Inventors: Schoengold, Ronald Joseph, Schrier, Wayne H., Matusewicz, Richard Sergei, Silzel, John Warwick
• Granted Patent: US 6,850,633 B2
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G01N 33/726 Devices

Abstract

A medical analysis system for reading and interpreting an occult blood test (OBT) device is provided. The instant system comprises an image sensor for capturing an image of the entire test area of the FOBT device and for converting the image into a digital data. The system further comprises a data processor conventionally coupled to the image sensor. The data processor compares the digital data with pre-determined threshold conditions of a positive FOBT by utilizing a spectrographic and morphologic image analysis algorithm and determines a presence of the occult blood in the sample. A hue angle analysis for data processing may be used. A method of performing a FOBT on a sample is also provided.

Claims

1. A medical analysis system for reading and interpreting a fecal occult blood test (FOBT) device, the device having a continuous test area for spreading a fecal sample and adding a developer, the test area reacting with the sample and the developer producing color patches on or around the sample, the system comprising:

an image sensor for capturing an image of the entire test area of the FOBT device and for converting the image into a digital data; and

a data processor conventionally coupled to the image sensor, wherein the data processor compares the digital data with predetermined threshold conditions of a positive FOBT by utilizing a spectrographic and morphologic image analysis algorithm and determines a presence of the occult blood in the sample.

2. The system of claim 1, wherein the image sensor is selected from a group consisting of:

charge-coupled devices (CCD), charge injection devices, translational stage and optical scanners, color complementary metallic oxide semiconductors, photovoltaic diode arrays, color video cameras with frame-grabbing software, and photographic film.

3. The system of claim 2, wherein the image sensor further comprises electronic and optical components necessary for capturing the image and converting it into the digital data.

4. The system of claim 2, wherein the optical components are selected from a group consisting of:

lenses, mechanical or optical scanners, shutters, irises, and filters.

5. The system of claim 1, wherein the image sensor is a digital color camera.

6. The system of claim 1, wherein the image sensor is a digital monochrome camera having a plurality of color filters.

7. The system of claim 1, wherein the data processor comprises a computer system and the image analysis algorithm is selected from a group consisting of:

hue angle image analysis;

a flat-fielding analysis for reducing a non-uniform illumination effect on the test sample;

a vector analysis for better object discrimination in the image;

an image factor analysis coupled with a principal component regression method for providing a multi-wavelength spectroscopic analysis of the image;

a mean-centering analysis for reducing any illumination variance on the test sample during formation of the image;

a morphological analysis;

a feature-specific convolution analysis; and

combinations thereof.

8. The system of claim 7, wherein the computer system utilizes the hue angle image analysis.

9. The system of claim 8, wherein the computer system determines a presence of the occult blood in the sample by identifying at least one positive test patch, wherein the positive test patch is identified by comparing the area of the color patch with a preselected threshold value.

10. The system of claim 9, wherein the computer system determines a relative mass of the blood present in the sample by correlating the mass with the area of the identified positive test patch.

11. The system of claim 9, wherein the computer system generating a second image of the test area, wherein the image graphically identifies the positive test patch and other data processing results.

12. The system of claim 11, wherein the computer system stores the images, generates a diagnostic report of the sample, and electronically transmits the images or the diagnostic report to a user-specified destination through a computer network.

13. The system of claim 10, wherein the computer identifies a plurality of positive test patches and determines the relative mass of the blood present in the sample by correlating the mass with a cumulative size or area of the identified positive test patches.

14. The system of claim 1, further comprising an illumination source for illumination of the test area of the FOBT device with a light.

15. The system of claim 14, wherein the illumination source is selected from a group consisting of:

incandescent lamps, fluorescent lamps, electrochemiluminescent devices, arc discharge lamps, stroboscopic-type flash lamps, light-emitting diodes, fiberoptic illuminators, lasers, and combinations thereof.

16. The system of claim 14, further comprising optical or electronic components for directing the light from the illuminating source onto the test area of the FOBT device.

17. The system of claim 16, wherein the optical components are selected from a group consisting of:

lenses, prisms, mechanical or optical scanners, shutters, irises, filters, fiber optical devices, and combinations thereof.

18. The system of claim 1, further comprising a test device positioner for positioning and holding the FOBT device in a predetermined location.

19. The system of claim 1, further comprising an optical element positioned between the image sensor and the FOBT device to optimize a sensitivity of the image sensor to a desired color development and to minimize a scattered light background.

20. The system of claim 19, wherein said optical element is a polarizer or an optical filter.

21. A medical analysis system for reading and interpreting a fecal occult blood test (FOBT) device, the device having a test area for placing a sample and adding a developer, the test area reacting with the sample and the developer producing one or more color patches on or around the sample, the system comprising:

an illumination source for illuminating the test area of the FOBT device with light;

an image sensor detecting the light reflected from the test area;

the image sensor generating an image of the test area and converting the image into digital data; and

a data processor coupled to the image sensor, the data processor applying a hue angle analysis to the received digital data, comparing the digital data with predetermined threshold conditions of a positive FOBT, and identifying a positive test patch indicative of the presence of the occult blood in the sample.

22. The system of claim 21, wherein the data processor additionally determines a relative mass of the blood present in the sample by correlating the mass with the area of the positive test patch.

23. The system of claim 21, wherein the data processor comprises a computer system.

24. The system of claim 21, wherein the computer system generates a second image, wherein the image graphically identifies the positive test patch and other spectral data processing results.

25. The system of claim 24, wherein the computer system stores the images, generates a diagnostic report of the sample, and electronically transmits the images, and the diagnostic report to a user-specified destination through a computer network.

27. The method of claim 26, wherein a type of the spectrographic and morphologic image analysis is selected from a group consisting of:

hue angle image analysis, image factor analysis with principal components regression, mean-centering analysis, flat-fielding analysis, vector analysis, feature-specific convolution analysis, morphological analysis, and combinations thereof.

28. The method of claim 26, further comprising a step of:

determining a relative mass of the blood present in the sample by correlating the mass with the area of one or more positive test patches.

29. The method of claim 28 identifies a plurality of positive test patches and determines the relative mass of the blood present in the sample by correlating the mass with a cumulative size or area of the identified positive test patches.

30. The method of claim 26, further comprising steps of:

(a) generating a second image, wherein the image graphically identifies the positive test patch and other spectral data processing results; and

(b) generating an analysis report in electronic form, the analysis report indicating test results, patient and test information.

26. A method of performing a fecal occult blood test (FOBT) on a sample, the method comprising the steps of:

(a) placing the sample on a test area of the FOBT device;

(b) applying a developer to the test area to produce one or more color patches on or around the sample;

(c) capturing an image of the test area with an image sensor and converting the image into digital data;

(d) comparing the digital data with predetermined threshold conditions of a positive FOBT by utilizing a data processor with a spectrographic and morphologic image analysis capability to identify a positive test patch; and

(e) correlating a presence of one or more positive test patches on the test device with a presence of the occult blood in the sample.