Accessing medical image databases using anatomical shape information

• US 8,676,832 B2
• Filed: 09/26/2007
• Issued: 03/18/2014
• Est. Priority Date: 09/29/2006
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Weese, Juergen, Lehmann, Helko
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): HAVAN, HUNG T
• Application Number:
  US12/442,248
• Publication Number:
  US 20100063977A1
• Time in Patent Office: 2,365 Days
• Field of Search: 707/706, 707/743, 707/769
• US Class Current: 707/769
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

The invention relates to a system (100) for retrieving a volumetric image data subset comprised in a data storage (105) of volumetric image data sets, the system comprising: a first query unit (111; 113) for composing a first query for searching the data storage (105) for a volumetric image data set comprising the volumetric image data subset; a second query unit (112; 113) for composing a second query for searching the volumetric image data set for the volumetric image data subset, the second query comprising anatomical structure information for identifying an anatomical structure within the volumetric image data set; a first determination unit (121; 123) for determining the volumetric image data set, based on the first query; a second determination unit (122; 123) for determining the volumetric image data subset of the volumetric image data set, based on the anatomical structure identified within the volumetric image data set, using the anatomical structure information comprised in the second query; and a retrieval unit (125) for retrieving the determined volumetric image data subset. The system is thus capable of retrieving a reduced amount of data describing the anatomical structure, i.e. a subset of a volumetric image data set.

Claims

1. A system that retrieves a volumetric image data subset comprised in data storage of volumetric image data sets, the system comprising:

a first query hardware unit that composes a first query that searches the data storage for a volumetric image data set comprising the volumetric image data subset;

a second query hardware unit that composes a second query that searches the volumetric image data set for the volumetric image data subset, the second query comprising anatomical structure information that identifies an anatomical structure within the volumetric image data set;

a first determination hardware unit that determines the volumetric image data set based on the first query;

a second determination hardware unit that determines the volumetric image data subset of the volumetric image data set based on the anatomical structure identified within the volumetric image data set using the anatomical structure information comprised in the second query;

a segmentation hardware unit that adapts a mesh of a shape model to identify the anatomical structure within the volumetric image data set and segments the identified anatomical structure from the volumetric data set; and

a retrieval hardware unit that retrieves the segmented anatomical structure.

2. The system as claimed in claim 1 further comprising an addition unit that adds a new volumetric image data set to the data storage.

3. The system as claimed in claim 2 wherein the second query unit identifies the anatomical structure in the new volumetric image data set based on the anatomical structure information when the new volumetric image data set is added to the data storage.

4. The system as claimed in claim 2, wherein the addition unit obtains reference information for the new volumetric image data set and wherein the reference information is added with the new volumetric image data set to the data storage.

5. The system as claimed in claim 1 wherein the second determination unit determines the volumetric image data subset based on the shape model adapted to the anatomical structure within the volumetric image data set.

6. The system as claimed claim 1 wherein the anatomical structure information further comprises information on a property of the anatomical structure.

7. The system as claimed in claim 1 wherein the retrieval unit retrieves a characteristic of the determined volumetric image data subset.

8. The system as claimed in claim 1 further comprising a client unit comprising the first query unit and the second query unit, and a server unit comprising the data storage, the first determination unit, and the second determination unit.

9. The system as claimed in claim 1, wherein the first query unit, the second query unit, the first determination unit, the second determination unit, and the retrieval unit are part of an image acquisition apparatus.

10. The system as claimed in claim 1, wherein the first query unit, the second query unit, the first determination unit, the second determination unit, and the retrieval unit are part of a workstation.

11. The system as claimed in claim 1 further comprising:

a control unit for receiving control data and providing the control data to the a first query unit, a second query unit, a first determination unit, a second determination unit, a retrieval unit, or a combination thereof.

12. The system as claimed in claim 1, wherein the first query and second query are part of a single query.

13. The system as claimed in claim 1, wherein the first query and second query are not part of a single query.

14. The system as claimed in claim 1, where the volumetric image data set is determined before the second query is composed.

15. The system as claimed in claim 14, wherein the first determination unit identifies reference information of the volumetric image data set, extracts a clue from the reference information, and passes the clue to a user interface, wherein the user interface discloses the clue in a manner to assist with semantically creating the second query.

17. The system as claimed in claim 1, where the first determination unit finds a memory address of the volumetric image data set and passes the memory address to the second determination unit.

16. The system as claimed in 14, wherein the first determination unit identifies reference information of the volumetric image data set, extracts a clue from the reference information, and passes the clue to a user interface, wherein the user interface discloses the clue in a manner to assist with refining the first query.

18. A method of retrieving a volumetric image data subset comprised in data storage of volumetric image data sets, the method comprising:

determining a volumetric image data set based on a first query, where the first query searches the data storage for a volumetric image data set comprising the volumetric image data subset;

determining a volumetric image data subset of the volumetric image data set based on an anatomical structure identified within the volumetric image data set using an anatomical structure information comprised in a second query that searches the volumetric image data set for the volumetric image data subset, wherein the second query comprises anatomical structure information that identifies the anatomical structure within the volumetric image data set;

adapting a mesh of a shape model to identify the anatomical structure within the volumetric image data set;

segmenting the identified anatomical structure from the volumetric data set; and

retrieving the segmented anatomical structure.

19. A computer memory storing a computer program product that is loaded with instructions for retrieving a volumetric image data subset comprised in data storage of volumetric image data sets, the computer program product, when executed by a computer processor, causes the computer processor to carry out the tasks of:

composing a first query that searches the data storage for a volumetric image data set comprising the volumetric image data subset;

composing a second query that searches the volumetric image data set for the volumetric image data subset, the second query comprising anatomical structure information for identifying an anatomical structure within the volumetric image data set;

determining the volumetric image data set based on the first query;

determining the volumetric image data subset of the volumetric image data set based on the anatomical structure identified within the volumetric image data set using the anatomical structure information comprised in the second query;

adapting a mesh of a shape model to identify the anatomical structure within the volumetric image data set;

segmenting the identified anatomical structure from the volumetric data set; and

retrieving the determined volumetric image data subset.