Computer aided diagnostic assistance for medical imaging

• US 7,244,230 B2
• Filed: 11/06/2003
• Issued: 07/17/2007
• Est. Priority Date: 11/08/2002
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Krishnan, Arun, Comaniciu, Dorin, Paine, Diane S., Duggirala, Bhavani, Zhou, Xiang
• Primary Examiner(s): Jaworski; Francis J.
• Application Number:
  US10/702,721
• Publication Number:
  US 20040147840A1
• Time in Patent Office: 1,349 Days
• Field of Search: 600300-561, 600586-595, 128920-925, 706/14, 706/16, 706/18, 706/20, 706 25- 27, 706/38, 706/41
• US Class Current: 600/300
• CPC Class Codes: A61B 8/00 Diagnosis using ultrasonic, sonic or infrasonic waves imaging of objects using sonar G01S15/00
• CPC Class Codes: A61B 8/4427 Device being portable or laptop-like
• CPC Class Codes: A61B 8/485 involving measuring strain or elastic properties
• CPC Class Codes: A61B 8/56 Details of data transmission or power supply
• CPC Class Codes: A61B 8/565 involving data transmission via a network
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/925 Neural network

Abstract

Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.

Claims

1. A method for assisting a medical diagnosis of a patient with a computer assisted diagnosis system, the method comprising:

(a) configuring a medical system for a particular examination;

(b) obtaining medical sensor data in response to the configuration of (a);

(c) obtaining context data based on the configuration;

(d) analyzing the medical sensor data and the context data as feature vectors with a processor;

(e) automatically recommending a further act for diagnosis based on the analysis.

2. The method of claim 1 further comprising:

(f) automatically reconfiguring the medical imaging system in response to the recommendation of (e).

3. The method of claim 2 wherein the reconfiguration of (f) comprises automatically performing the recommendation.

4. The method of claim 1 wherein (a) comprises connecting a transducer to the medical imaging system, the medical imaging system being an ultrasound system, the transducer being associated with at least the particular examination and not associated with another particular examination.

5. The method of claim 1 wherein (d) and (e) are preformed by the processor, the processor being in tbe medical imaging system.

6. The method of claim 1 wherein (a) comprises selecting the particular examination from an examination list.

7. The method of claim 1 wherein (a) comprises configuring the medical imaging system to obtain data and (c) comprises identifying the particular examination free of the data obtained as a result of a scan responsive to the configuration of (a).

8. The method of claim 1 wherein (d) comprises performing a computer assisted diagnosis.

9. The method of claim 1 wherein (e) comprises recommending a measurement.

10. The method of claim 1 wherein (e) comprises recommending imaging in a new mode.

11. The method of claim 10 wherein the new mode is one of:

B-mode, C-mode, spectral Doppler, Doppler tissue imaging, strain imaging, elasticity imaging, shear wave imaging, acoustic streaming, acoustic palpation, harmonic imaging, boost imaging, 3-D, and 4-D.

12. The method of claim 1 wherein (e) comprises recommending an imaging view.

13. The method of claim 1 wherein (e) comprises recommending a medical protocol.

14. The method of claim 1 further comprising:

(f) indicating a sensitivity of the recommendation of (e) for diagnosis.

15. The method of claim 14 wherein (e) comprises recommending a plurality of measurements where the further act is one of the plurality of measurements;

wherein (f) comprises indicating a ranking of the plurality of measurements to a user.

16. The method of claim 14 further comprising:

(g) outputting a probability of a diagnosis in response to (d), the sensitivity being based on an importance of the recommendation to the diagnosis.

17. The method of claim 1 further comprising;

(f) receiving data responsive to performance of the further act;

(g) repeating (d) as a function of the medical sensor data, the context data and the data responsive to performance of the further act for the patient; and

(h) outputting a probability of a diagnosis in response to (g).

18. The method of claim 1 further comprising:

(f) obtaining patient context data;

wherein (d) comprises analyzing the medical sensor data, the context data based on the configuration and the patient context data.

19. The method of claim 1 wherein (d) comprises analyzing based in part on a database;

further comprising;

(f) updating the data base with the medical sensor data.

20. The method of claim 1 further comprising:

(f) identifying a measurement based on (d); and

(g) automatically performing the measurement;

wherein (e) is performed as a function of the measurement of (g).

21. A method for assisting a medical imaging diagnosis of a patient with a computer assisted diagnosis system, the method comprising:

(a) obtaining medical sensor data with a medical system;

(b) analyzing the medical sensor data with the computer assisted diagnosis system;

(c) identifying a further act to assist diagnosis based on the analysis;

(d) automatically performing the further act with the medical imaging system;

(e) outputting a diagnosis based on the further act and the medical sensor data;

(f) indicating a sensitivity of the further act of(c) for a first diagnosis; and

(g) indicating a probability of the first diagnosis

wherein (e) comprises outputting a probability of a second diagnosis updated from the first diagnosis with the information of the further act.