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US 9,852,354 B2Granted
Method and apparatus for image scoring and analysis
AssigneeDako Denmark A/S
InventorsRohit Jain, Kapil Dhingra, Edward Hartford
Life of this patent
Estimating the term…
Abstract
Methods and apparatuses for analyzing digital pathology images are provided. The methods and apparatuses may provide estimates of staining intensity and proportion score in regions of interest within an image. Digital pathology images may be scored according to these metrics. The methods and apparatuses disclosed herein utilize various predetermined thresholds, parameters, and models to increase efficiency and permit accurate estimation of characteristics of a stained tissue sample.
Claims19
A method for analyzing a digital pathology image comprising:
- selecting at least one analysis region in the digital pathology image;
- separating the at least one analysis region into a tissue region and a background region using a predetermined separation threshold;
- identifying a plurality of nuclear prospects within the tissue region, wherein identifying the plurality of nuclear prospects includes:
- calculating a principal component projection of the tissue region,
- segmenting the tissue region of the digital pathology image into a plurality of image layers via a spectral hashing function, and
- determining the plurality of nuclear prospects from among the plurality of layers;
- selecting nuclei from among the identified nuclear prospects, wherein selecting nuclei includes:
- generating a hierarchical connected graph associating at least a first one of the plurality of nuclear prospects on a first segmented layer of the digital image with at least a second one of the plurality of nuclear prospects on a second segmented layer of the digital image,
- comparing the first one of the nuclear prospects to the second one of the nuclear prospects to identify a superior nuclear prospect, and
- designating the superior nuclear prospect as a selected nuclei;
- and
- generating a diagnostic score of the at least one analysis region based on the selected nuclei.
9 more elements
A method for analyzing a digital pathology image comprising:
- selecting an analysis region of the digital pathology image;
- separating a tissue region and a background region in the analysis region of the digital pathology image using a predetermined separation threshold;
- identifying a plurality of nuclear prospects within the tissue region;
- selecting a portion of nuclei from among the plurality of identified nuclear prospects, wherein selecting the portion of nuclei includes:
- generating a hierarchical connected graph associating at least a first one of the plurality of nuclear prospects on a first segmented layer of the digital image with at least a second one of the plurality of nuclear prospects on a second segmented layer of the digital image,
- comparing the first one of the nuclear prospects to the second one of the nuclear prospects to identify a superior nuclear prospect, wherein comparing the first one of the nuclear prospects and the second one of the nuclear prospects includes identifying the nuclear prospect having a higher convexity score, and
- designating the superior nuclear prospect as a selected nuclei;
- generating a diagnostic score of the analysis region based on the selected nuclei, wherein generating the diagnostic score includes scoring the analysis region based on color metrics of the selected nuclei.
5 more elements
A system for analyzing a digital pathology image comprising:
- a non-transitory computer readable medium comprising instructions;
- at least one processor configured to carry out the instructions to:
- select at least one analysis region in the digital pathology image;
- separate the at least one analysis region into a tissue region and a background region using a predetermined separation threshold;
- identify a plurality of nuclear prospects within the tissue region, wherein identifying the plurality of nuclear prospects includes:
- calculating a principal component projection of the tissue region,
- segmenting the tissue region of the digital pathology image into a plurality of image layers via a spectral hashing function, and
- determining the plurality of nuclear prospects from among the plurality of layers;
- select nuclei from among the identified nuclear prospects, wherein selecting the nuclei includes:
- generating a hierarchical connected graph associating at least a first one of the plurality of nuclear prospects on a first segmented layer of the digital image with at least a second one of the plurality of nuclear prospects on a second segmented layer of the digital image,
- comparing the first one of the nuclear prospects to the second one of the nuclear prospects to identify a superior nuclear prospect, and
- designating the superior nuclear prospect as a selected nuclei;
- and
- generate a diagnostic score of the at least one analysis region based on the selected nuclei.
11 more elements
A system for analyzing a digital pathology image comprising:
- a non-transitory computer readable medium comprising instructions;
- at least one processor configured to carry out the instructions to:
- select an analysis region of the digital pathology image;
- separate a tissue region and a background region in the analysis region of the digital pathology image using a predetermined separation threshold;
- identify a plurality of nuclear prospects within the tissue region;
- select a portion of nuclei from among the plurality of identified nuclear prospects, wherein selecting the portion of nuclei includes:
- generate a hierarchical connected graph associating at least a first one of the plurality of nuclear prospects on a first segmented layer of the digital image with at least a second one of the plurality of nuclear prospects on a second segmented layer of the digital image,
- compare the first one of the nuclear prospects to the second one of the nuclear prospects to identify a superior nuclear prospect, wherein comparing the first one of the nuclear prospects and the second one of the nuclear prospects includes identifying the nuclear prospect having a higher convexity score, and
- designate the superior nuclear prospect as a selected nuclei;
- generate a diagnostic score of the analysis region based on the selected nuclei.
7 more elements
Dependencies are inferred from the claim text.