Granted Patent B1

US 12,087,432 · App. 18/229,812 · Granted Sep 10, 2024

Inventors: Manish Shiralkar (Maharashtra, IN); Prasanth Perugupalli (Cary, NC); Jithin Prems (Dooravani Nagar, IN); Raghubansh Bahadur Gupta (Bangalore, IN); Durgaprasad Dodle (Telangana, IN); Prateek Jain (Karnataka, IN); Shilpa G Krishna (Kerala, IN); Rohan Prateek (Uttar Pradesh, IN); Priyanka Golchha (Rajasthan, IN); Jaya Jain (Bhopal, IN); Asa Rubin (Silver Springs, MD); Parveen Shaik Gangirevula (Bengaluru, IN)

Assignee: Pramana, Inc.

G16H30/40G06T15/00G06V10/24G06V10/761G16H30/20

Abstract

Claims (68)

1. An apparatus for visualization of digitized slides belonging to a patient case comprising:

a processor; and

a memory communicatively connected to the processor, the memory containing instructions configuring the processor to:

receive an image data set comprising a plurality of images of one or more specimens and metadata of the plurality of images of the one or more specimens;

identifying one or more constituent visualization components for each image of the plurality of images within image data set;

determine a relationship between the one or more constituent visualization components as a function of the image data set, wherein determining the relationship between the one or more constituent visualization components further comprises:

categorizing the one or more constituent visualization components into one or more specimen categorizations, wherein each specimen categorization comprises a reference constituent visualization component and one or more remaining constituent visualization components;

receiving an orientation of each reference constituent visualization components and the one or more remaining constituent visualization components of the one or more specimen categorizations; and

reorienting the one or more remaining constituent visualization components as a function of the categorization and the orientation of each reference constituent visualization components of the one or more reference constituent visualization components;

construct a plurality of virtual images as a function of the image data set and the relationship between the one or more constituent visualization components, wherein each virtual image of the plurality of virtual images comprises at least one virtual constituent component;

generate a consolidated virtual image as a function of the plurality of virtual images; and

display the consolidated virtual image.

2. The apparatus of claim 1 , wherein constructing the plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components further comprises:

receiving an input through a user interface; and

generating the plurality of virtual images as a function of the input.

3. The apparatus of claim 1 , wherein determining a relationship between the one or more constituent visualization components comprises:

modifying at least one of the one or more constituent visualization components; and

determining the relationship between the one or more constituent visualization components as a function of the modification.

4. The apparatus of claim 1 , wherein:

receiving the image data set comprises acquiring at least one macro image of the specimen using a macro camera;

constructing the plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components further comprises:

generating a plurality of virtual images as a function of the reorienting of the one or more constituent visualization components; and

generating a consolidated virtual image as function of the plurality of virtual images comprises generating a consolidated macro image as a function of the plurality of virtual images.

5. The apparatus of claim 1 , wherein constructing the plurality of virtual images further comprises:

receiving a plurality of high-resolution images, wherein each image of the plurality of high-resolution images is associated with each image of the image data set; and

generating a plurality of virtual images as a function of the plurality of high-resolution images and the reorienting of the one or more remaining constituent visualization components.

6. The apparatus of claim 1 , wherein constructing the plurality of virtual images as a function of the image data set further comprises:

determining a spatial distance between each reference constituent visualization and one or more remaining virtual constituent components for each image of the plurality of images; and

constructing at least one virtual image of the plurality of virtual images as a function of the spatial distance.

7. The apparatus of claim 1 , wherein constructing a plurality of virtual images as a function of the image data set further comprises:

identifying one or more annotations on at least one image of the plurality of images;

receiving one or more configurable parameters of the plurality of images; and

removing the one or more annotations as a function of the one or more configurable parameters.

8. The apparatus of claim 7 , wherein the one or more configurable parameters are received as a function of user input.

9. The apparatus of claim 1 , wherein determining a relationship between one or more constituent visualization components comprises identifying one or more constituent visualization components using an image processing module.

10. A method for visualization of digitized slides belonging to a patient case, the method comprising:

receiving, by at least a processor, an image data set comprising a plurality of images of one or more specimen and metadata of the plurality of images of the one or more specimen;

identifying, by the at least a processor, one or more constituent visualization components for each image of the plurality of images within image data set;

determining, by the at least a processor, a relationship between the one or more constituent visualization components as a function of the image data set, wherein determining the relationship between the one or more constituent visualization components further comprises:

categorizing the one or more constituent visualization components into one or more specimen categorizations, wherein each specimen categorization comprises a reference constituent visualization component and one or more remaining constituent visualization components;

receiving an orientation of each reference constituent visualization components and the one or more remaining constituent visualization components of the one or more specimen categorizations; and

reorienting the one or more remaining constituent visualization components as a function of the categorization and the orientation of each reference constituent visualization components of the one or more reference constituent visualization components;

constructing, by the at least a processor, a plurality of virtual images as a function of the image data set and the relationship between the one or more constituent visualization components, wherein each virtual image of the plurality of the images comprises at least one virtual constituent component;

generating, by the at least a processor, a consolidated virtual image as a function of the plurality of virtual images; and

displaying, by the at least a processor, the consolidated virtual image.

11. The method of claim 10 , wherein constructing, by the at least a processor, the plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components further comprises:

receiving an input through a user interface; and

generating the plurality of virtual images as a function of the input.

12. The method of claim 10 , wherein determining, by the at least a processor, a relationship between the one or more constituent visualization components comprises:

modifying at least one of the one or more constituent visualization components; and

determining the relationship between the one or more constituent visualization components as a function of the modification.

13. The method of claim 10 , wherein:

receiving, by the at least a processor, the image data set comprises acquiring at least one macro image of the specimen using a macro camera;

constructing, by the at least a processor, the plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components further comprises:

generating a plurality of virtual images as a function of the reorienting of the one or more constituent visualization components; and

generating a consolidated virtual image as function of the plurality of virtual images comprises generating a consolidated macro image as a function of the plurality of virtual images.

14. The method of claim 10 , wherein constructing, by the at least a processor, the plurality of virtual images further comprises:

receiving a plurality of high-resolution images, wherein each image of the plurality of high-resolution images is associated with each image of the image data set; and

generating a plurality of virtual images as a function of the plurality of high-resolution images and the reorienting of the one or more remaining constituent visualization components.

15. The method of claim 10 , wherein constructing, by the at least a processor, the plurality of virtual images as a function of the image data set further comprises:

determining a spatial distance between each reference constituent visualization and one or more remaining virtual constituent components for each image of the plurality of images; and

constructing at least one virtual image of the plurality of virtual images as a function of the spatial distance.

16. The method of claim 10 , wherein constructing, by the at least a processor, a plurality of virtual images as a function of the image data set further comprises:

identifying one or more annotations on at least one image of the plurality of images;

receiving one or more configurable parameters of the plurality of images; and

removing the one or more annotations as a function of the one or more configurable parameters.

17. The method of claim 16 , wherein the one or more configurable parameters are received as a function of user input.

18. The method of claim 10 , wherein determining, by the at least a processor, a relationship between one or more constituent visualization components comprises identifying one or more constituent visualization components using an image processing module.

Assignments (14)

Cited By (1)

US 12,450,895