Method and system for storing, indexing and searching medical images using anatomical structures of interest

1. An automated method for indexing a plurality of anatomical structures of interest in a plurality of digital images, comprising: determining organ level details of a plurality of anatomical structures of interest in a plurality of digital images of one or more biological tissue samples to which a chemical compound has been applied; determining cell level details of the plurality of anatomical structures of interest in the plurality of digital images; determining foreign material level details of the plurality of anatomical structures of interest in the plurality of digital images; and indexing the plurality of digital images using the plurality of determined details with a predetermined indexing scheme, thereby allowing a medical conclusion to be determined from the indexed plurality of digital images.

2. The method of claim 1 further comprising a computer readable medium having stored therein instructions for causing one or more processors to execute the steps of the method.

3. The method of claim 1 further comprising determining framework level details of the plurality of anatomical structures of interest in the plurality of digital images.

4. The method of claim 1 wherein the biological sample is a human tissue sample.

5. The method of claim 1 wherein the pre-determined indexing scheme includes an information hierarchy using big files, repositories, document indexes, lexicons and inverted indexes for classifying the plurality of details determined for plurality of anatomical structures in the plurality of digital images.

6. The method of claim 1 wherein the medical conclusion is a human cancer diagnosis.

7. The method of claim 6 wherein the human cancer diagnosis includes a human breast cancer or a human prostrate cancer diagnosis.

8. The method of claim 1 wherein the pre-determined indexing scheme includes using a plurality of content descriptors with parametric values determining a key or index value for the plurality of digital images.

9. The method of claim 1 wherein the wherein the pre-determined indexing scheme includes an information hierarchy with a plurality of digital images at a lowest level, a plurality of digital image classes a next level and a plurality of digital image groups at a highest level.

10. An automated method for indexing a plurality of anatomical structures of interest in a plurality of digital images, comprising: determining pixel level details of a plurality of anatomical structures of interest in a plurality of digital images of one or more biological samples to which a chemical compound has been applied; determining object level details of the plurality of anatomical structures of interest in the plurality of digital images; determining semantic or context based level details of the plurality of anatomical structures of interest in the plurality of digital images; and indexing the plurality of digital images using the plurality of determined details with a pre-determined indexing scheme, thereby allowing a medical conclusion from the indexed plurality of digital images.

11. The method of claim 10 further comprising a computer readable medium having stored therein instructions for causing one or more processors to execute the steps of the method.

12. The method of claim 10 further comprising determining knowledge based level details of the plurality of anatomical structures of interest in the plurality of digital images.

13. The method of claim 10 wherein the biological sample is a human tissue sample.

14. The method of claim 10 wherein the predetermined indexing scheme includes an information hierarchy using big files, repositories, document indexes, lexicons and inverted indexes for classifying the plurality of details determined for plurality of anatomical structures in the plurality of digital images.

15. The method of claim 10 wherein the medical conclusion is a human cancer diagnosis.

16. The method of claim 15 wherein the human cancer diagnosis includes a human breast cancer or a human prostrate cancer diagnosis.

17. The method of claim 10 wherein the pre-determined indexing scheme includes using a plurality of content descriptors with parametric values determining a key or index value for the plurality of digital images.

18. The method of claim 10 wherein the wherein the pre-determined indexing scheme includes an information hierarchy with a plurality of digital images at a lowest level, a plurality of digital image classes a next level and a plurality of digital image groups at a highest level.

19. The method of claim 10 wherein the indexing step comprises: determining a plurality of fixed parameters including magnification and tissue type, thereby creating a set of digital images of interest; determining a plurality of organ-related descriptions, specialized cells-related supporting framework-related descriptions, and foreign material-related descriptions at a field of view or tissue image level, thereby creating an image group code; and determining parameters measured at an individual object level and a pixel level, thereby measuring a similarity between an input digital image and a plurality of other digital images.

20. The method of claim 10 wherein the indexing step includes determining a similarity index using the using the plurality of determined details of the plurality of anatomical structures of interest.

21. The method of claim 10 wherein the indexing step includes indexing the plurality of digital images using remote links to the plurality of digital images stored at other sources, meta data for the plurality of digital images, anatomical structures of interest parameters and image group codes created for the digital images to store the plurality of digital images in an index hierarchy.

22. The method of claim 10 further comprising: searching the indexed plurality of digital images for similar digital images; and displaying the similar indexed digital images as a two-dimensional array of thumbnail digital images.

23. An automated system for indexing a plurality of anatomical structures of interest in a plurality of digital images, comprising in combination: means for determining organ details of a plurality of anatomical structures of interest in a plurality of digital images of one or more biological tissue samples, determining cell level details of the plurality of anatomical structures of interest in the plurality of digital images and determining foreign material level details of the plurality of anatomical structures of interest in the plurality of digital images; means for determining pixel level details of a plurality of anatomical structures of interest in a plurality of digital images of one or more biological samples, determining object level details of the plurality of anatomical structures of interest in the plurality of digital images and determining semantic or context based level details of the plurality of anatomical structures of interest in the plurality of digital images; means for indexing the plurality of digital images using the plurality of determined details with a pre-determined indexing scheme, thereby allowing a medical conclusion from the indexed plurality of digital images; means for searching the indexed plurality of digital images for similar digital images; and means for displaying the similar indexed digital images.