Liver disease diagnosis system, method and graphical user interface

• US 20060064396A1
• Filed: 04/14/2005
• Published: 03/23/2006
• Est. Priority Date: 04/14/2004
• Status: Abandoned Application

• Current Assignee: EDDA Technology, Inc.
• Original Assignee: EDDA Technology, Inc.
• Inventors: Fan, Li, Wei, Guo-Qing, Liang, Cheng-Chung, Qian, Jian-Zhong
• Application Number:
  US11/105,961
• Publication Number:
  US 20060064396A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 6/463 characterised by displaying multiple images or images and diagnostic data on one display
• CPC Class Codes: A61B 6/465 adapted to display user selection data, e.g. graphical user interface, icons or menus
• CPC Class Codes: A61B 6/50 specially adapted for specific body parts; specially adapted for specific clinical applications
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/5235 combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT
• CPC Class Codes: A61B 6/5247 combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
• CPC Class Codes: A61B 6/566 involving communication between diagnostic systems
• CPC Class Codes: G01N 2800/08 Hepato-biliairy disorders other than hepatitis
• CPC Class Codes: G06T 2207/30056 Liver; Hepatic
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation

Abstract

System and graphical user interfaces are disclosed for liver disease diagnosis. A visual data manipulation page is used for manipulating one or more liver visual data sets, retrieved together with non-visual information associated with a subject and specific to a liver disease. The visual data manipulation page includes a first area for manipulating the one or more data sets and a second area for providing a plurality of selectable means to activate one or more data manipulation operations to be performed with respect to the one or more data sets displayed in the first area. When the first area is configured to manipulate more than one data set, each image is from a corresponding data set and images from different data sets can be displayed synchronously.

Claims

1. A graphical user interface, comprising:

a visual data manipulation page for manipulating one or more liver visual data sets, retrievable together with non-visual information associated with a subject and a liver disease, wherein the visual data manipulation page includes;

a first area for manipulating the one or more data sets, and

a second area for providing a plurality of selectable means to activate one or more data manipulation operations to be performed with respect to the one or more data sets displayed in the first area, wherein

when the first area is configured to manipulate more than one data set, each image is from a corresponding data set and images from different data sets can be displayed synchronously.

2. The interface according to claim 1, wherein a liver visual data set includes an image and/or a volume acquired in an imaging modality.

3. The interface according to claim 2, wherein the imaging modality includes at least one of computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET).

4. The interface according to claim 3, wherein CT liver data comprises data of different phases including at least one of a plain CT phase, an arterial phase, a venous phase, and a delayed phase.

5. The interface according to claim 4, wherein the more than one images displayed in the first area are images from different CT phases.

6. The interface according to claim 1, wherein the non-visual information includes information contained in a medical record of the subject.

7. The interface according to claim 1, wherein the non-visual information includes a lab test result associated with the subject.

8. The interface according to claim 1, wherein the non-visual information is specific and relevant to the liver disease type.

9. The interface according to claim 1, wherein the plurality of selectable means include at least one of:

a clickable icon configured for advancing, in a first direction, in a volumetric data set to select a slice to be displayed in the first area;

a clickable icon configured for advancing, in a second direction, in the volumetric data set to select a slice to be displayed in the first area;

a clickable icon configured for adjusting a display parameter associated with a data set displayed in the first area;

a clickable icon configured for activating a process of automatic lesion detection applied to a data set displayed in the first area;

a clickable icon configured for activating an interactive process of lesion detection applied to a data set displayed in the firs area;

a sub-area configured for facilitating a specification of one or more data sets to be displayed in the first area;

a sub-area configured for facilitating a specification of a speed at which a data set is to be played in the first area;

a sub-area configured for manipulating information associated with a list of lesion candidates detected from a data set displayed in the first area; and

a clickable icon configured for deleting information associated with a lesion candidate included in the list of lesion candidates.

10. The interface according to claim 9, wherein a clickable icon is a button.

11. The interface according to claim 9, wherein the sub-area for specifying a data set to be displayed comprises:

a window for entering a selectable number indicating the number of data sets to be displayed in the first area; and

one or more areas, each corresponding to a sub-area in the first area in which a data set is to be displayed, facilitating specification of a data set to be manipulated in the sub-area.

12. The interface according to claim 11, further comprising, when more than one data set is to be displayed, an icon through which a mode of display across different data sets is defined.

13. The interface according to claim 12, wherein the mode of display across different data sets includes one of a synchronized mode and an asynchronized mode.

14. The interface according to claim 9, wherein the sub-area for manipulating information associated with a list of lesion candidates comprises:

a window area in which the information associated with a list of lesion candidates is displayed;

a clickable icon configured for facilitating control of overlay of the information associated with the list of lesion candidates in the first area where the underlying data set is visualized.

15. The interface according to claim 9, wherein an adjustment to the display parameter can be effectuated via a mouse movement/click when the clickable icon for adjusting the display parameter is clicked.

16. The interface according to claim 9, wherein visual information to be displayed in the first area is an enhanced version of a data set.

17. The interface according to claim 16, wherein the enhanced version of a data set includes one or more liver intensity subtracted (LIST) images.

18. The interface according to claim 17, wherein the enhanced version of a data set includes one or more images derived by subtracting adjacent LIST images.

19. The interface according to claim 16, wherein the enhanced version of a data set is obtained by interpolating more than one registered slice of corresponding more than one data set acquired at different times, and the interpolated slice is displayed as an animated movie.

20. The interface according to claim 9, wherein a volumetric data set can be played at a speed controllable via a mouse movement.

21. The interface according to claim 9, wherein the speed is automatically adjusted with respect to a lesion candidate included in the list of liver lesion candidates.

22. The interface according to claim 21, wherein the speed is automatically reduced when the play approaches a lesion candidate.

23. The interface according to claim 9, wherein the automatic lesion detection is performed as a backend process.

24. The interface according to claim 9, wherein the interactive lesion detection is performed with respect to a marking created based on a visualization of a data set in the first area.

25. The interface according to claim 24, wherein the automatic and the interactive lesion detection processes extract one or more features associated with a detection result.

26. The interface according to claim 25, wherein the one or more features include at least one of:

a likelihood value indicating how likely it is that a lesion is present near the marking; and

at least one measurement is made with respect to each lesion detected.

27. The interface according to claim 1, further comprising a liver disease diagnostic page, which includes at least one of:

a first region configured for displaying a list of selectable lesion candidates detected from at least one data set;

a second region configured for displaying visual information related to a lesion candidate selected from the list of selectable lesion candidates;

a third region configured for displaying diagnostic information associated with the selected lesion candidate; and

a fourth region configured for recording information related to a diagnosis with respect to the lesion candidate selected.

28. The interface according to claim 27, wherein the second region comprises one or more sub-regions, in each of which a data set or the selected lesion candidate can be visualized and/or manipulated.

29. The interface according to claim 27, wherein the third region further comprises:

a first sub-region configured for displaying a hierarchical representation of selectable diagnostic information related to the selected lesion candidate;

a second sub-region configured for displaying a type of diagnostic information selected from the hierarchical representation with respect to the lesion candidate selected;

a third sub-region configured for presenting a summary of the diagnostic information in the hierarchical representation that is associated with the lesion candidate selected; and

a fourth sub-region configured for displaying information related to an overall level of alert with respect to the lesion candidate selected.

30. The interface according to claim 29, wherein the hierarchical representation includes visual and/or non-visual diagnostic information.

31. The interface according to claim 29, wherein the hierarchical representation organizes information based on diagnostic information types.

32. The interface according to claim 29, wherein the hierarchical representation organizes information based on liver disease types.

33. The interface according to claim 29, wherein each piece of the selectable diagnostic information in the hierarchical representation can be selected through a mouse click.

34. The interface according to claim 31, wherein the diagnostic information types include at least one of:

visual information associated with a lesion candidate which includes at least one of morphological information, intensity information, and segmentation information; and

non-visual information associated with the subject with respect to the liver disease which includes at least one of information extracted from a medical record of the subject and a lab test result associated with the subject.

35. The interface according to claim 32, wherein the liver disease types include at least one of Hepatocellular Carcinoma (HCC), Focal Nodular Hyperplasia (FNH), Hemangioma, Cyst, Hepatic Adenoma, and Hepatic Metastasis.

36. The interface according to claim 29, wherein a piece of the diagnostic information selectable from the hierarchical representation is embedded with a data manipulation tool with an adjustable operational parameter.

37. The interface according to claim 36, wherein the embedded data manipulation tool can be applied to a data set with the adjustable operational parameter to produce adjusted diagnostic information.

38. The interface according to claim 37, wherein the diagnostic information included in the hierarchical representation is updated using the adjusted diagnostic information.

39. The interface according to claim 29, wherein a piece of the diagnostic information selectable from the hierarchical representation is displayed with an alert level estimating a seriousness with respect to the selected lesion candidate computed based on the piece of diagnostic information.

40. The interface according to claim 29, wherein the summary with respect to each category of the diagnostic information in the hierarchical representation includes an alert level estimating a seriousness with respect to the selected lesion candidate computed based on the category of the diagnostic information.

41. The interface according to claim 29, wherein the overall alert level estimates an overall level of seriousness of the selected lesion candidate based on all categories of information represented in the hierarchical representation.

42. The interface according to claim 27, wherein the fourth region further comprises:

a first sub-area configured to record a diagnosis with respect to the selected lesion candidate; and

a second sub-area configured to record a confidence with respect to the diagnosis.

43. The interface according to claim 29, further comprising means to activate integration of the selectable diagnostic information in the hierarchical representation to assist reaching a diagnosis with respect to a selected lesion.

44. The interface according to claim 1, further comprising a liver disease reporting page which includes at least one of:

a first portion configured to provide information related to the subject;

a second portion configured to provide non-visual diagnostic information associated with each lesion included in a list of liver lesions;

a third portion configured to provide visual diagnostic information associated with each lesion included in the list of liver lesions; and

a fourth portion configured to provide a diagnosis for each lesion included in the list of liver lesions.

45. The interface according to claim 44, wherein the second portion further comprises:

a first sub-portion configured to provide each lesion included in the list of liver lesions and information associated therewith;

a second sub-portion configured to provide a diagnostic summary; and

a third sub-portion configured to provide supporting medical evidence related to diagnosis of the list of liver lesions.

46. The interface according to claim 45, wherein the information associated with each lesion includes at least one of:

an estimated location of the lesion;

an estimated dimension of the lesion;

an estimated volume of the lesion;

a medical diagnosis of the lesion; and

a measure indicating a confidence in the medical diagnosis.

47. A method for creating data, comprising:

detecting an object region in each slice image of a stack of slice images;

computing a numeric feature of the object region in each slice image;

subtracting the value of the numeric feature from each of the pixel values in each slice image, yielding a stack of subtracted slice images; and

subtracting pixel values of a first subtracted slice image from corresponding pixel values of a second subtracted slice image for each pair of adjacent subtracted images.

48. The method according to claim 47, wherein the object region is a liver region.

49. The method according to claim 47, wherein the numeric feature of the object region is an average intensity of the object region.

50. A method for creating data, comprising:

identifying, for each slice image in a volumetric data, one or more corresponding slice images in one or more different volumetric data; and

interpolating based on the slice image and its corresponding slice images to create an interpolated slice image, wherein

the volumetric data and the one or more different volumetric data form a time sequence;

the slice image in the volumetric data correlates the one or more slice images from different volumetric data based on a criterion.

51. The method according to claim 50, wherein the volumetric data and the different volumetric data are CT images acquired at different phases.

52. The method according to claim 50, wherein the criterion based on which the correspondence between the slice image and one or more corresponding slice images is coordinates associated with each of the corresponding slices.

53. A method for medical diagnosis, comprising:

loading visual and/or non-visual information that is associated with a subject and specific to a liver disease;

activating a visual data manipulation page for manipulating one or more liver visual data sets, retrievable together with the non-visual information, wherein the visual data manipulation page includes;

a first area for manipulating the one or more data sets, and

a second area for providing a plurality of selectable means to activate one or more data manipulation operations to be performed with respect to the one or more data sets displayed in the first area, wherein

when the first area is configured to manipulate more than one data set, each image is from a corresponding data set and images from different data sets can be displayed synchronously.

54. The method according to claim 53, further comprising selecting one of the selectable means to effectuate a corresponding data manipulation operation, wherein the selected data manipulation operation includes at least one of:

advancing, in a first direction, in a volumetric data set to select a slice to be displayed in the first area;

advancing, in a second direction, in the volumetric data set to select a slice to be displayed in the first area;

adjusting a display parameter associated with a data set displayed in the first area;

activating a process of automatic lesion detection applied to a data set displayed in the first area;

activating an interactive process of lesion detection applied to a data set displayed in the first area;

specifying one or more data sets to be displayed in the first area;

specifying a speed at which a data set is to be played in the first area;

manipulating information associated with a list of lesion candidates detected from a data set displayed in the first area; and

deleting information associated with a lesion candidate included in the list of lesion candidates.

55. The method according to claim 53, further comprising activating a liver disease diagnostic page, which enables at least one of:

selecting a lesion candidate from a list of selectable lesion candidates detected from at least one data set;

displaying visual information related to the selected lesion candidate;

exploring at least one piece of diagnostic information associated with the selected lesion candidate and represented by a hierarchy of selectable diagnostic information; and

reaching a diagnosis with respect to the lesion candidate selected based on the at least one piece of diagnostic information.

56. The method according to claim 55, wherein the visual information includes a 3D rendering of the selected lesion candidate.

57. The method according to claim 55, wherein the hierarchy fuses visual and non-visual diagnostic information.

58. The method according to claim 55, wherein at least some of the diagnostic information in the hierarchical representation is embedded with a data manipulation tool.

59. The method according to claim 55, wherein said reaching a diagnosis is performed in one of an automatic mode, an interactive mode, and a combination thereof.

60. The method according to claim 59, wherein said exploring includes:

modifying a piece of diagnostic information to produce an updated piece of diagnostic information; and

assessing a different piece of diagnostic information related to the piece of diagnostic information based on the updated piece of diagnostic information;

evaluating a diagnosis for the selected lesion made based on the piece of diagnostic information using the updated piece of diagnostic information.

61. The method according to claim 60, wherein said modifying is achieved in one of a manual mode, an interactive mode, an automatic mode, and a combination thereof.

62. The method according to claim 60, wherein said modifying is achieved using a data manipulation tool embedded with the piece of diagnostic information.

63. The method according to claim 55, wherein said exploring comprises:

detecting one or more objects imaged in a selected 3D volume visual diagnostic information;

dissecting the 3D volume into a plurality of portions, with at least one portion having at least one of the objects therein; and

pulling, electronically, one of the portions apart from other remaining portions to view a spatial relationship among the objects.

64. The method according to claim 63, wherein the one or more objects include at least one of a liver, a lesion, and a blood vessel.

65. The method according to claim 63, further comprising re-assembling the one pulled apart portion with the other remaining portions.

66. The method according to claim 63, further comprising characterizing the spatial relationship.

67. The method according to claim 66, further comprising deriving a medical decision based on a characterization of the spatial relationship from said characterizing.

68. The method according to claim 67, wherein the medical decision includes at least one of a treatment plan and a surgical plan with respect to the selected lesion.

69. The method according to claim 55, further comprising:

displaying the selected piece of diagnostic information;

presenting a summary of the diagnostic information associated with the lesion candidate selected; and

displaying information related to an overall level of alert with respect to the lesion candidate selected.

70. The method according to claim 55, further comprising activating a means to perform integration of one or more pieces of the selectable diagnostic information from the hierarchical representation to assist reaching a diagnosis with respect to a selected lesion.

71. The method according to claim 53, further comprising generating a liver disease report, which includes at least one of:

information related to the subject;

non-visual diagnostic information associated with each lesion included in a list of liver lesions;

visual diagnostic information associated with each lesion included in the list of liver lesions; and

a diagnosis for each lesion included in the list of liver lesions.

72. A method for visualizing data, comprising:

detecting one or more objects imaged in a 3D volume;

dissecting the 3D volume into a plurality of portions, with at least one portion having at least one of the objects therein; and

pulling, electronically, one of the portions apart from other remaining portions to view a spatial relationship among the objects.

73. The method according to claim 72, wherein the one or more objects include at least one of a liver, a lesion, and a blood vessel.

74. The method according to claim 72, further comprising manipulating the one portion separately from or together with the other remaining portions.

75. The method according to claim 74, wherein said manipulation includes at least one of a rotation, a translation, a zooming operation, a processing of data in the portion, and a combination thereof.

76. The method according to claim 72, further comprising re-assembling the one portion back with the other remaining portions.

77. The method according to claim 72, further comprising characterizing the spatial relationship.

78. A system for liver disease diagnosis, comprising:

a data retriever capable of retrieving visual and/or non-visual information associated with a subject and specific to a liver disease; and

a visual data manipulation mechanism capable of;

rendering a visual data manipulation page,

visualizing one or more retrieved visual data sets in the visual data manipulation page, and

effectuating one or more data manipulation operations, activated via a plurality of selectable means displayed on the visual data manipulation page and to be performed with respect to the one or more data sets, wherein more than one data set can be visualized in a synchronized manner.

79. The system according to claim 78, wherein the data manipulation mechanism comprises at least one of:

a data visualization mechanism capable of displaying a data set based on a display parameter;

a data enhancement mechanism capable of being activated to generate an enhanced version of a data set;

a lesion detection mechanism capable of being activated for detecting a lesion candidate in a data set; and

a feature extraction mechanism capable of being activated to extract one or more features associated with a detected lesion candidate.

80. The system according to claim 79, wherein the display parameter is a speed, determined either manually or dynamically in playing a data set based on a distance between a data slice on a display and a data slice where a liver lesion is detected.

81. The system according to claim 79, wherein the enhanced version of a data set is a liver intensity subtracted (LIST) image.

82. The system according to claim 79, wherein the enhanced version of a data set is obtained by subtracting pixel values of a first LIST image from corresponding pixel values of a second LIST image for each pair of adjacent LIST images.

83. The system according to claim 79, wherein the enhanced version of a data set is an interpolated slice image generated by interpolating based on more than one corresponding slice image identified across a time sequence data set.

84. The system according to claim 79, wherein said detecting a lesion candidate is performed in one of an automatic mode, an interactive mode, and a manual mode.

85. The system according to claim 79, wherein said extracting is performed in one of an automatic mode, an interactive mode, and a manual mode.

86. The system according to claim 78, further comprising a liver disease diagnosis mechanism, which comprises at least one of:

a hierarchical representation construction mechanism configured to generate a hierarchical representation of selectable visual and/or non-visual diagnostic information;

an interactive data exploration mechanism capable of facilitating real time diagnostic evidence exploration; and

an information assessment mechanism capable of supporting real time data rendering to facilitate information assessment.

87. The system according to claim 86, wherein at least some of the diagnostic information in the hierarchical representation is embedded with a data manipulation tool.

88. The system according to claim 78, further comprising a liver disease diagnosis report generation mechanism capable of being activated to produce a liver disease diagnosis report.