SYSTEM AND METHOD FOR INTERACTIVE SEGMENTATION ON MOBILE DEVICES IN A CLOUD COMPUTING ENVIRONMENT

• US 20130272587A1
• Filed: 08/22/2011
• Published: 10/17/2013
• Est. Priority Date: 08/25/2010
• Status: Abandoned Application

• Current Assignee: Siemens Corp. (Siemens AG)
• Original Assignee: Siemens Corp. (Siemens AG)
• Inventors: Grady, Leo, Paladini, Gianluca, Fang, Ruogu
• Application Number:
  US13/816,970
• Publication Number:
  US 20130272587A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/10 Segmentation; Edge detection motion-based segmentation G06T7/215
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: H04N 19/60 using transform coding
• CPC Class Codes: H04N 19/80 Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation H04N19/635, H04N19/86 take precedence
• CPC Class Codes: H04N 19/85 using pre-processing or post-processing specially adapted for video compression

Abstract

A mobile device (160) for medical image analysis is disclosed. The mobile device (160) includes a display (162), a communication module (218), a memory (204) configured to store processor-executable instructions (224) and a processor (202) in communication with the display (162), the communication module (218) and the memory (204). The processor (202) being configured to execute the processor-executable instructions (224) to implement a compression routine to generate a compressed representation of a medical image stored in the memory (204), transmit the compressed representation to a remote device (110) via the communication module (218), receive segmented results from the remote device (110), wherein the segmented results are derived from a reconstruction of the compressed representation generated at the remote device (110), and present, via the display (162), a segmented medical image based on the received segmented results.

Claims

1. A mobile device comprising:

a display;

a communication module;

a memory configured to store processor-executable instructions;

a processor in communication with the display, the communication module and the memory, wherein the processor is configured to execute the processor-executable instructions to;

implement a JPEG compression routine to generate a compressed representation of a medical image stored in the memory;

transmit the compressed representation to a remote device via the communication module;

receive segmented data from the remote device, wherein the segmented data are derived from a decompression of the compressed representation generated at the remote device; and

present, via the display, a segmented medical image refined from the received segmented data.

2. The mobile device of claim 1, wherein the display is a touchscreen.

3. The mobile device of claim 1, wherein the communication module is configured to operate according from a communication protocol selected from the group consisting of:

GSM, CDMA, IEEE 802.11 (WiFi), IEEE 802.16 (WiMax), IEEE 802.15.4 (ZigBee), IEEE 802.20 (mobile broadband) and Bluetooth.

4. The mobile device of claim 1 wherein the communication module is configured to communicate via a network, and the remote device comprises a cloud-based server.

5. The mobile device of claim 2, wherein the processor-executable instructions are further configured to:

highlight a region of interest identified in the medical image stored in the memory.

6. The mobile device of claim 5, wherein the segmented results were generated at the remote device based on a random walker interactive segmentation algorithm.

7. The mobile device of claim 1, wherein the processor-executable instructions are further configured to:

refine the received segmented data for presentation via the display.

8. The mobile device of claim 7, wherein the refined segmented data include an initial segmentation that provides a basis for refinement.

9. The mobile device of claim 1 further comprising:

a sensor configured to generate medical data, wherein the medical data is representative of the medical image.

10. The mobile device of claim 1, wherein the communication module is configured to communicate with a means for image acquisition, wherein the means for image acquisition is configured to capture the medical image.

11. A system for interactive medical image analysis between devices, the system comprising:

a mobile device including a display, a communication module and a memory configured to store processor-executable instructions, the mobile device comprising;

a processor in communication with the display, the communication module and the memory, wherein the processor is configured to execute the processor-executable instructions to;

generate a compressed representation of a medical image stored in the memory utilizing a compression algorithm;

communicate the compressed representation to a network via the communication module;

a remote device communicatively coupled to the mobile device via the network and the communication module, wherein the remote device stores and implements processor-executable instructions to;

receive the compressed representation generated by the mobile device via the network;

decompress the received compressed representation of the medical image;

implement a segmentation algorithm to generate segmented data based on the reconstructed medical image; and

communicate the plurality of segmented results back to the mobile device for presentation.

12. The system of claim 11, wherein the mobile device includes processor-executable instruction further configured to:

refine the received segmented data prior to presentation via the display.

13. The system of claim 11 further comprising:

an image acquisition device configured to capture medical image data for storage in a data store.

14. The system of claim 13, wherein the data store is the memory within the mobile device.

15. The system of claim 11, wherein the mobile device further comprises:

a sensor configured to generate medical data, wherein the medical image is representative of the medical data.

16. The system of claim 11, wherein the compression algorithm is selected from the group consisting of:

discrete cosine transform encoding;

a block discrete cosine transform encoding;

Haar wavelet transformation;

Daubechies wavelet transformation;

Cohen-Daubechies-Feauveau wavelet transformation;

graph weights compression and imaginary boundaries compression.

17. The system of claim 11, wherein the segmentation algorithm is selected from the group consisting of:

Random Walker algorithm;

Graph Cuts algorithm and Shortest Path algorithm.

18. The system of claim 11, wherein the network is the Internet and the remote device comprises a cloud-based server.

19. A method for interactive image analysis between remote devices, the method comprising:

receiving, via a network, a compressed representation of an image at a remote device, wherein the compressed representation is generated at a mobile device;

decompressing the received compressed representation of the image at the remote device;

implementing a segmentation algorithm on the remote device to generate segmented data based on the reconstructed image; and

transmitting the segmented data back to the mobile device via the network.

20. The method of claim 19 further comprising:

acquiring an image; and

storing the image in an accessible memory location.

21. The method of claim 20, wherein the accessible memory location is a memory location within a mobile device.

22. The method of claim 19, wherein implementing a compression algorithm includes implementing a compression algorithm selected from the group consisting of:

discrete cosine transform encoding;

a block discrete cosine transform encoding;

Haar wavelet transformation;

Daubechies wavelet transformation;

Cohen-Daubechies-Feauveau wavelet transformation;

graph weights compression and imaginary boundaries compression.

23. The method of claim 19, wherein implementing a segmentation algorithm includes implementing a segmentation algorithm selected from the group consisting of:

Random Walker algorithm;

Graph Cuts algorithm and Shortest Path algorithm.

24. The method of claim 19 further comprising:

presenting a segmented image based on the segmented data via a display.

25. The method of claim 19 further comprising:

refining segmented data for presentation via the display.

26. The method of claim 19 further comprising:

capturing medical data via a medical sensor coupled to the mobile device, wherein the image is representative of the medical data.