Computer aided detection and decision support

• US 8,121,360 B2
• Filed: 07/25/2007
• Issued: 02/21/2012
• Est. Priority Date: 07/31/2006
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens AG, Siemens Corp. (Siemens AG), Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Zhou, Xiang, Gupta, Alok, Krishnan, Arun, Comaniciu, Dorin, Freund, Jörg
• Primary Examiner(s): Mariam, Daniel
• Assistant Examiner(s): Bitar, Nancy
• Application Number:
  US11/782,694
• Publication Number:
  US 20080037852A1
• Time in Patent Office: 1,672 Days
• Field of Search: 382/128, 382/132, 382/228, 382/232, 382/100, 382/278, 382/224, 382/133, 382/156, 382/159, 705/2, 702/20, 706/19, 706/20, 706/45
• US Class Current: 382/128
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system for computer aided detection and decision support includes an ontology of image representations for injecting meaning into and adding relationships among image contents, an image understanding and parsing module in communication with the ontology of image representations for extracting structures from an image including the image contents, and a reasoning engine based in communication with the ontology and the image understanding and parsing module for classifying the image contents, wherein the system receives the image and corresponding descriptive information.

Claims

1. A system for computer aided detection and decision support comprising:

a memory device storing a plurality of instructions embodying a computer aided detection and decision support system;

a processor for receiving an image of a patient including an object of interest and non-image data about the patient that is not encoded with the image data, and executing the plurality of instructions to perform a method comprising;

determining a segmentation of the image including the object of interest;

detecting the object of interest;

automatically selecting a pre-defined disease analysis model from a database based upon the detected object of interest and the non-image data;

comparing the image including the object of interest to the selected pre-defined disease analysis model to determine an analysis of the object of interest;

performing a similar case search against a picture archiving and communication system database based on the detected object of interest and the analysis; and

outputting at least one image retrieved from the picture archiving and communication system database together with corresponding descriptive information.

2. The system of claim 1 further comprising selecting the selected pre-defined disease analysis model according to a feature of the image.

3. The system of claim 1, wherein the non-image data comprises a clinical report.

4. The system of claim 1, wherein the non-image data comprises a relevant -omic signature.

5. A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for computer aided detection and decision support, the method comprising:

receiving an image including an object of interest and non-image data that is not encoded with the image data;

determining a segmentation of the image including the object of interest;

detecting the object of interest;

automatically selecting a pre-defined disease analysis model from a database based upon the detected object of interest and the non-image data;

comparing the image including the object of interest to the selected pre-defined disease analysis model to determine an analysis of the object of interest;

performing a similar case search against a picture archiving and communication system database based on a detected object of interest and the analysis; and

outputting at least one image retrieved from the picture archiving and communication system database together with non-image data.

6. The computer readable medium of claim 5, further comprising selecting the selected pre-defined disease analysis model according to a feature of the image.

7. The computer readable medium of claim 5, wherein the non-image data comprises a clinical report.

8. The computer readable medium of claim 5, wherein the non-image data comprises a relevant -omic signature.