Scalable Semantic Image Search

• US 20080027917A1
• Filed: 06/25/2007
• Published: 01/31/2008
• Est. Priority Date: 07/31/2006
• Status: Abandoned Application

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Corporate Research Incorporated (Siemens AG)
• Inventors: Freund, Jorg, Gupta, Alok, Zhou, Xiang, Zhou, Shaohua Kevin, Zillner, Sonja, Comaniciu, Dorin, Huber, Martin, Mukherjee, Saikat, Tresp, Volker
• Application Number:
  US11/767,920
• Publication Number:
  US 20080027917A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

A computer-implemented system for searching a plurality of images for an image of interest including a database of semantic image representations corresponding to the plurality of images, wherein the semantic image representations link a semantic model of clinical properties, a syntactic model of high level image properties and an image vocabulary of low level image properties, a set of queries associated with the semantic image representations, and a semantic search engine, embodied as computer readable code executed by a processor, for receiving a search query, selecting at least one of the set of queries based on the search query, and searching the plurality of images for the image of interest by comparing the plurality of images against the semantic image representations associated with a selected query.

Claims

1. A computer-implemented system for searching a plurality of images for an image of interest comprising:

a database of semantic image representations linking a semantic model of clinical properties, a syntactic model of high level image properties and an image vocabulary of low level image properties,

a set of queries associated with the semantic image representations; and

a semantic search engine, embodied as computer readable code executed by a processor, for receiving a search query, selecting at least one of the set of queries based on the search query, and searching the plurality of images for the image of interest by comparing the plurality of images against the semantic image representations associated with a selected query.

2. The computer-implemented system of claim 1, wherein a plurality of meta-models, including the semantic model and syntactic model, integrate ontologies that distinguish different semantic views of the plurality of images.

3. The computer-implemented system of claim 1, wherein the search engine is multi-dimensional, semantically integrating image, clinical, and bio-medical information.

4. The computer-implemented system of claim 1, further comprising a computer system supporting the system for searching a plurality of images, wherein the computer system is deployed on a grid platform and the semantic image representations are stored across the grid.

5. The computer-implemented system of claim 1, further comprising a semantic computer aided diagnostics (CAD) module.

6. The computer-implemented system of claim 1, further comprising a decision support systems (DSS) module.

7. The computer-implemented system of claim 1, wherein the database of semantic image representations are arranged hierarchically.

8. The computer-implemented system of claim 1, further comprising means for inputting a query comprising one of images or keywords associated with semantic concepts.

9. A computer readable medium embodying instructions executable by a processor to perform a method for constructing a database of semantic image representations, the method steps comprising:

defining hierarchical representations of an image domain;

defining a query language comprising a plurality of queries available to a search engine; and

associating the queries to the hierarchical representations, wherein the associated queries and hierarchical representations are stored in the database as the semantic image representations.

11. The method of claim 9, wherein the plurality of queries include a text based query.

12. The method of claim 9, wherein the plurality of queries include an image based query.

10. The method of claim 10, further comprising searching a plurality of images for an image of interest by comparing the plurality of images against the semantic image representations, wherein the searching is performed by a semantic search engine that receives a search query, selects at least one of the plurality of queries based on the search query, and determines the image of interest based on a selected query.