System and method for radiation dose reporting

• US 9,129,044 B2
• Filed: 04/29/2011
• Issued: 09/08/2015
• Est. Priority Date: 04/30/2010
• Status: Active Grant

• Current Assignee: Trustees Of Columbia University In The City Of New York (Columbia University), Cornell University
• Original Assignee: Trustees Of Columbia University In The City Of New York (Columbia University), Cornell University
• Inventors: Shih, George, Zabih, Ramin, Nickoloff, Edward L., Lu, Zheng Feng, Kennedy, Devin
• Primary Examiner(s): Bella, Matthew
• Assistant Examiner(s): YANG, WEI WEN
• Application Number:
  US13/098,228
• Publication Number:
  US 20120106817A1
• Time in Patent Office: 1,593 Days
• Field of Search: 382/131, 382/128
• US Class Current: 1/1
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/542 involving control of exposure
• CPC Class Codes: A61B 6/563 involving image data transmission via a network
• CPC Class Codes: A61B 6/583 using calibration phantoms
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Systems and method can be employed to automatically extract radiation dose information from medical images, particularly a plurality of heterogeneous CT images including those from legacy CT scanners. A report including the extracted radiation dose information can be generated, and alerts can be sent to reduce the possibility of overexposures.

Claims

1. A method comprising:

automatically extracting radiation dose information for an individual patient from tomography images, wherein the tomography images includes at least one of text or symbols, wherein the radiation dose information is extracted from the at least one of text or symbols embedded in the tomography images;

correcting the extracted radiation dose information using a formula specific to a body portion of the individual patient identified in the tomography images, wherein the body portion and the formula specific to the body portion are identified using the at least one of text or symbols embedded in the tomography images; and

generating a report based on the corrected radiation dose information and the body portion of the individual patient identified in the tomography images, wherein the report is indicative of the individual patient'"'"'s risk of radiation overexposure.

2. The method of claim 1, wherein the medical images comprise one of computed tomography (CT) or positron emission tomography-computed tomography (PET-CT) images.

3. The method of claim 1, wherein said automatically extracting dose information comprises performing an image segmentation on the medical images.

4. The method of claim 3, wherein performing the image segmentation comprises performing a connected component analysis.

5. The method of claim 4, wherein said connected component analysis is performed using DCMTK.

6. The method of claim 1, further comprising correcting the extracted radiation dose information for a size of the individual patient.

7. The method of claim 6, wherein correcting the extracted radiation dose information comprises obtaining a relationship between size of the individual patient and weight of the individual patient.

8. The method of claim 7, wherein correcting the extracted radiation dose information further comprises calculating an equivalent cylindrical phantom diameter based on the obtained relationship between the size of the individual patient and the weight of the individual patient.

9. The method of claim 8, wherein the equivalent cylindrical phantom diameter is calculated using:

phantom diameter=square root (AP dimension*LAT dimension)*C,

wherein C is a correction factor that takes into consideration of the density difference between soft tissue and acrylic PMMA phantom material, AP dimension is the individual patient'"'"'s anteriorposterior dimension, and LAT dimension is the individual patient'"'"'s lateral dimension.

10. The method of claim 9, further comprising generating a respective correction factor for each of a plurality of heterogeneous CT scanners, wherein each respective correction factor is a function of patient weight.

11. The method of claim 6, further comprising determining a body portion of the individual patient that is scanned.

12. The method of claim 1, wherein said extracted radiation dose information comprises an effective dose.

13. The method of claim 1, further comprising storing the radiation dose information in a database.

14. The method of claim 1, further comprising storing the extracted radiation dose information in DICOM metadata of a medical image.

15. The method of claim 1, wherein extracting dose information comprises extracting dose information from medical images obtained from a plurality of heterogeneous CT scanners.

16. The method of claim 15, wherein at least one of the medical images obtained from the plurality of heterogeneous CT scanners includes no metadata indicative of exposure dose.

17. The method of claim 1, further comprising comparing the extracted radiation dose information with a predetermined threshold.

18. The method of claim 17, further comprising providing an alert if a radiation dose from the extracted radiation dose information is higher than the predetermined threshold.

19. The method of claim 1, further comprising displaying the report through a web interface.

20. The method of claim 1, wherein generating the report comprises generating an average dose for the individual patient.

21. The method of claim 20, further comprising providing an alert if a new CT study is ordered for the individual patient and the individual patient'"'"'s risk of radiation overexposure exceeds a predetermined threshold.

22. The method of claim 1, wherein generating the report comprises generating a summary of a healthcare provider'"'"'s history of ordering radiation-based studies.

23. The method of claim 1, further comprising sending the report through one of a short message, an email, a website, or a voice message.

24. A system comprising:

a computer configured to automatically extract radiation dose information for an individual patient from a tomography image, to correct the extracted radiation dose information using a formula specific to a body portion of the individual patient identified in the tomography image, wherein the body portion and the formula specific to the body portion are identified using the at least one of text or symbols embedded in the tomography image, and to generate a dose information report based on the corrected radiation dose information and the body portion of the individual patient identified in the tomography images, wherein the tomography image includes at least one of text or symbols, wherein the dose information report is indicative of the individual patient'"'"'s risk of radiation overexposure, and wherein the radiation dose information is extracted from the at least one of text or symbols embedded in the tomography image.

25. The system of claim 24, wherein at least some of the radiation dose information is extracted from image data not in DICOM format.

26. The system of claim 25, wherein the medical image comprises one of computed tomography (CT) or positron emission tomography-computed tomography (PET-CT) images.

27. The system of claim 25, further comprising a communication device configured to transmit the dose information report to a requesting device.

28. The system of claim 25, further comprising at least one of a picture archiving and communication system (PACS) or a radiology information system (RIS).

29. A non-transitory computer readable medium containing instructions therein, wherein the instructions comprise:

automatically extracting radiation dose information for an individual patient from a medical image, wherein the medical image includes at least one of text or symbols, wherein the radiation dose information is extracted from the at least one of text or symbols embedded in the medical image;

correcting the extracted radiation dose information using a formula specific to a body portion of the individual patient identified in the tomography images, wherein the body portion and the formula specific to the body portion are identified using the at least one of text or symbols embedded in the tomography images; and

generating a dose information report indicative of the individual patient'"'"'s risk of radiation overexposure.

30. The non-transitory computer readable medium of claim 29, wherein the medical image comprises one of computed tomography (CT) or positron emission tomography-computed tomography (PET-CT) images.

31. The non-transitory computer readable medium of claim 29, wherein said automatically extracting dose information comprises performing an image segmentation on the medical image.

32. The non-transitory computer readable medium of claim 31, wherein performing the image segmentation comprises performing a connected component analysis.

33. The non-transitory computer readable medium of claim 32, wherein said connected component analysis is performed using DCMTK.

34. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise correcting the extracted radiation dose information for a size of the individual patient.

35. The non-transitory computer readable medium of claim 34, wherein correcting the extracted radiation dose information comprises obtaining a relationship between size of the individual patient and weight of the individual patient.

36. The non-transitory computer readable medium of claim 35, wherein correcting the extracted radiation dose information further comprises calculating an equivalent cylindrical phantom diameter based on the obtained relationship between the size of the individual patient and the weight of the individual patient.

37. The non-transitory computer readable medium of claim 36, wherein the equivalent cylindrical phantom diameter is calculated using:

phantom diameter=square root(AP dimension*LAT dimension)*C,

wherein C is a correction factor that takes into consideration of the density difference in soft tissue and in acrylic PMMA phantom material, AP dimension is the individual patient'"'"'s anteriorposterior dimension, and LAT dimension is the individual patient'"'"'s lateral dimension.

38. The non-transitory computer readable medium of claim 37, wherein the instructions further comprise generating a correction factor as a function of patient weight for a CT scanner.

39. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise storing the radiation dose information in a database.

40. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise storing the radiation dose information in DICOM metadata of a medical image.

41. The non-transitory computer readable medium of claim 29, wherein extracting dose information comprises extracting dose information from a plurality of heterogeneous CT scanners.

42. The non-transitory computer readable medium of claim 41, wherein at least some of the radiation dose information extracted from at least some of the plurality of heterogeneous CT scanners are not in DICOM format.

43. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise comparing the extracted radiation dose information with a predetermined threshold.

44. The non-transitory computer readable medium of claim 43, wherein the instructions further comprise providing an alert if a radiation dose from the extracted radiation dose information is higher than the predetermined threshold.

45. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise displaying the dose information report through a web interface.

46. The non-transitory computer readable medium of claim 29, wherein said generating a report comprises generating an accumulative or an average radiation dose information for a patient.

47. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise providing an alert if a new CT study is ordered for the individual patient and the individual patient'"'"'s risk of radiation overexposure exceeds a predetermined threshold.

48. The non-transitory computer readable medium of claim 29, wherein said generating a report comprises generating a summary of a healthcare provider'"'"'s history of ordering radiation-based studies.

49. The non-transitory computer readable medium of claim 29, wherein the instructions further comprise sending the report through one of a short message, an email, a website, or a voice message.