US 2022/0277451 A1 · SYSTEMS, METHODS AND APPARATUSES FOR VISUALIZATION OF IMAGING DATA

Abstract

Medical imaging data can include imaging data of tissue portions, such as, for example, tissue samples. A processor is configured to receive imaging data obtained from imaging tissue. The imaging data includes a two-dimensional scan of tissue, such as, for example, a B-scan. The processor is configured to analyze the imaging data, and to identify imaging data associated with suspicious areas. The processor is configured to generate a visual interface that displays the imaging data associated with the suspicious areas in a stitched view. The processor, via the visual interface, enables a user to navigate to locations in the two-dimensional scan that correspond to imaging data associated with suspicious areas that the user determines to be positive for a characteristic (e.g., cancer).

Claims23

Dependent claims

An apparatus, comprising:

a display configured to display a user interface;
a memory;
and
a processor operatively coupled to the display and the memory, the processor configured to:
receive image data of a tissue sample;
identify, using a machine learning algorithm trained using a set of images to identify regions of abnormality in the image data, a set of patches of the image data, each patch from the of patches including at least one feature associated with an abnormality;
generate a consolidated view of the set of patches in which the set of patches are arranged according to a predefined layout;
and
display the consolidated view of the set of patches on the user interface;
and
wherein each patch from the set of patches is associated with a spatial location in the tissue sample and the processor is configured to display markings in the consolidated view to associate patches from the set of patches that have proximate spatial locations with one another.

8 more elements

An apparatus, comprising:

a memory;
and
a processor operatively coupled to the memory, the processor configured to:
receive a set of two-dimensional image scans of a three-dimensional tissue sample;
process the set of two-dimensional image scans to produce a set of patches each having the same dimensions, each patch from the set of patches including image data from a different portion of the set of two-dimensional image scans;
identify, using a machine learning algorithm trained using a set of images to identify regions of abnormality in the image data, a subset of patches (1) from the set of patches and (2) including at least one feature associated with an abnormality;
and
generate a consolidated view of the subset of patches in which the subset of patches are arranged according to a predefined layout, and wherein each patch from the set of patches is associated with a spatial location in the tissue sample, the subset of patches arranged in the consolidated view such that patches from the subset of patches having spatial locations proximate to one another are arranged adjacent to one another.

5 more elements

Dependencies are inferred from the claim text.

Systems, methods and apparatuses for visualization of imaging data

Life of this patent

Systems, methods and apparatuses for visualization of imaging data

Life of this patent

Abstract

Claims23