AUTOMATED METHODS AND SYSTEMS FOR DETECTING CELLS IN STAINED SPECIMEN IMAGES

Title:

AUTOMATED METHODS AND SYSTEMS FOR DETECTING CELLS IN STAINED SPECIMEN IMAGES

Document Type and Number:

WIPO Patent Application WO/2019/025514

Kind Code:

A3

Abstract:

A system and a method for unveiling poorly visible or lightly colored nuclei in an input image are disclosed. An input image (210) is fed to a color deconvolution module (220) for deconvolution into two color channels that are processed separately before being combined. The input image is deconvolved into two separate images: a stain image (230) and a counter stain image (250). A complement of the stain image (234) is generated in order to clearly reflect the locations of the poorly visible or light-colored nuclei. The complement image and the counter stain image are optionally normalized (236, 264) and then combined (270) and segmented (275), to generate an output image (280) with clearly defined nuclei. Alternatively, the complement of the stain image and the counter stain image can optionally be normalized, and then segmented prior to being combined to generate the output image.

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Inventors:

GUETTER CHRISTOPH (US)
NGUYEN KIEN (US)
WANG XIUZHONG (US)

Application Number:

PCT/EP2018/070923

Publication Date:

March 14, 2019

Filing Date:

August 02, 2018

Export Citation:

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Assignee:

VENTANA MED SYST INC (US)
HOFFMANN LA ROCHE (CH)

International Classes:

G06T7/10; G06K9/00

Domestic Patent References:

WO2012016242A2

2012-02-02

Other References:

BHAT HARSHA ET AL: "A hybrid approach for nucleus stain separation in histopathological images", 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), IEEE, 11 July 2017 (2017-07-11), pages 1218 - 1221, XP033152219, DOI: 10.1109/EMBC.2017.8037050
ANONYMOUS: "Counterstain - Wikipedia", 29 March 2017 (2017-03-29), XP055518182, Retrieved from the Internet [retrieved on 20181023]
NAJAH ALSUBAIE ET AL: "Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation", PLOS ONE, vol. 12, no. 1, 11 January 2017 (2017-01-11), pages e0169875, XP055543321, DOI: 10.1371/journal.pone.0169875

Attorney, Agent or Firm:

GYENGE, Zoltan (CH)

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