Mapping of literature onto regions of interest on neurological images

• US 9,390,233 B2
• Filed: 04/20/2012
• Issued: 07/12/2016
• Est. Priority Date: 06/18/2008
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Fueyo, Joanna Lynn, Angell, Robert Lee, Friedlander, Robert R., Kraemer, James R.
• Primary Examiner(s): Liew, Alex
• Application Number:
  US13/452,331
• Publication Number:
  US 20120207362A1
• Time in Patent Office: 1,544 Days
• Field of Search: 382128-134
• US Class Current: 1/1
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: A61B 6/501 for diagnosis of the head, e.g. neuroimaging or craniography
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/30016 Brain
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/00 ICT specially adapted for the handling or processing of medical references

Abstract

A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted.

Claims

1. A method of analyzing neurological images, the method comprising:

comparing, by a processor, a set of brain scans for a patient to a set of baseline control scans to automatically identify a set of regions of interest in the set of patient scans, wherein a region of interest is an area in a scan that shows an indication of a potential abnormality;

searching, by the processor, a set of electronic medical literature sources for medical literature relevant to the set of regions of interest in the set of patient scans to form relevant medical literature;

correlating, by the processor, portions of the relevant medical literature describing the set of regions of interest in the set of patient scans to the set of regions of interest in the set of patient scans to form correlated portions of the relevant medical literature;

generating, by the processor, a result, wherein the result comprises the set of patient scans and a set of links to the correlated portions of the relevant medical literature; and

embedding, by the processor, the set of links to the correlated portions of the relevant medical literature within the set of patient scans, wherein a user selects a link in the embedded set of links within the set of patient scans to view a portion of the correlated portions of the relevant medical literature describing a region of interest in the set of regions of interest in the set of patient scans.

2. The method of claim 1 wherein portions of the relevant medical literature describing the set of regions of interest in the set of patient scans comprises a set of brain scans in the relevant medical literature showing areas of a brain having an identified abnormality that corresponds to the potential abnormality shown in the set of regions of interest in the set of patient scans.

3. The method of claim 1 further comprising:

presenting, by the processor, the set of regions of interest to the user;

responsive to receiving a selection of a set of additional regions of interest in the set of patient scans from the user to form a set of user selected regions of interest, the processor adding the set of user selected region of interest to the set of regions of interest in the set of patient scans; and

responsive to receiving a selection of a set of undesired regions of interest in the set of patient scans from the user to form a set of de-selected regions of interest, the processor removing the set of de-selected regions of interest from the set of regions of interest in the set of patient scans.

4. The method of claim 1 wherein searching, by the processor, the set of electronic medical literature sources further comprises:

identifying, by the processor, the set of electronic medical literature sources; and

searching, by the processor, medical literature available from the set of electronic medical literature sources using at least one of data mining, search engines, and queries to identify the relevant medical literature in the medical literature available from the set of electronic medical literature sources.

5. The method of claim 1 wherein the set of baseline control scans comprises a set of baseline normal scans, and further comprising:

receiving, by the processor, a set of brain scans for a set of healthy subjects in various demographic groups to form the baseline normal scans; and

analyzing, by the processor, the baseline normal scans to identify a normal appearance of areas in normal brain scans, wherein a normal brain scan is a scan that does not show indications of disease or abnormalities in the areas in the normal brain scans.

6. The method of claim 1 wherein the set of baseline control scans comprises a set of baseline abnormal scans, and further comprising:

receiving, by the processor, a set of brain scans for a set of subjects in various demographic groups having identified abnormalities in the set of brain scans to form the baseline abnormal scans; and

analyzing, by the processor, the baseline abnormal scans to identify an abnormal appearance of areas in brain scans, wherein an abnormal scan is a scan that shows indications of disease or abnormalities in the areas of the brain scans.

7. The method of claim 1 wherein the set of brain scans comprises a set of positron emission tomography scans of the patient.

8. The method of claim 1 wherein the set of brain scans comprises a set of magnetic resonance imaging scans of the patient.

9. A computer program product for analyzing neurological images, the computer program product comprising:

a non-transitory computer readable storage device having computer usable program code embodied therewith, the computer usable program code comprising;

computer usable program code configured to compare a set of brain scans for a patient to a set of baseline control scans to automatically identify set of regions of interest in the set of patient scans, wherein a region of interest is an area in a scan that shows an indication of a potential abnormality;

computer usable program code configured to search a set of electronic medical literature sources for medical literature relevant to the set of regions of interest in the set of patient scans to form relevant medical literature;

computer usable program code configured to correlate portions of the relevant medical literature describing the set of regions of interest in the set of patient scans to the set of regions of interest in the set of patient scans to form correlated portions of the relevant medical literature;

computer usable program code configured to generate a result, wherein the result comprises the set of patient scans and a set of links to the correlated portions of the relevant medical literature; and

computer usable program code configured to embed the set of links to the correlated portions of the relevant medical literature within the set of patient scans, wherein a user selects a link in the embedded set of links within the set of patient scans to view a portion of the correlated portions of the relevant medical literature describing a region of interest in the set of regions of interest in the set of patient scans.

10. The computer program product of claim 9 wherein portions of the relevant medical literature describing the set of regions of interest in the set of patient scans comprises a set of brain scans in the relevant medical literature showing areas of a brain having an identified abnormality that corresponds to the potential abnormality shown in the set of regions of interest in the set of patient scans.

11. The computer program product of claim 9 further comprising:

computer usable program code configured to present the set of regions of interest to the user;

computer usable program code configured to add a set of user selected regions of interest to the set of regions of interest in the set of patient scans in response to receiving a selection of a set of additional regions of interest in the set of patient scans from the user to form the set of user selected regions of interest; and

computer usable program code configured to remove a set of de-selected regions of interest from the set of regions of interest in the set of patient scans in response to receiving a selection of a set of undesired regions of interest in the set of patient scans from the user to form the set of de-selected regions of interest.

12. The computer program product of claim 9 wherein searching the set of electronic medical literature sources further comprising:

computer usable program code configured to identify the set of electronic medical literature sources; and

computer usable program code configured to search medical literature available from the set of electronic medical literature sources using at least one of data mining, search engines, and queries to identify the relevant medical literature in the medical literature available from the set of electronic medical literature sources.

13. The computer program product of claim 9 wherein the set of baseline control scans comprises a set of baseline normal scans, and further comprising:

computer usable program code configured to receive a set of brain scans for a set of healthy subjects in various demographic groups to form the baseline normal scans; and

computer usable program code configured to analyze the baseline normal scans to identify a normal appearance of areas in normal brain scans, wherein a normal brain scan is a scan that does not show indications of disease or abnormalities in the areas in the normal brain scans.

14. The computer program product of claim 9 wherein the set of baseline control scans comprises a set of baseline abnormal scans, and further comprising:

computer usable program code configured to receive a set of brain scans for a set of subjects in various demographic groups having identified abnormalities in the set of brain scans to form the baseline abnormal scans; and

computer usable program code configured to analyze the baseline abnormal scans to identify an abnormal appearance of areas in brain scans, wherein an abnormal scan is a scan that shows indications of disease or abnormalities in the areas of the brain scans.

15. The computer program product of claim 9 wherein the set of brain scans comprises at least one of a set of positron emission tomography scans of the patient and a set of magnetic resonance imaging scans of the patient.

16. An apparatus comprising:

a memory, a processor unit, and a computer readable storage device having computer usable program code embodied thereon, wherein the processing unit executes the computer usable program code to compare a set of brain scans for a patient to a set of baseline control scans to automatically identify a set of regions of interest in the set of patient scans, wherein a region of interest is an area in a scan that shows an indication of a potential abnormality;

search a set of electronic medical literature sources for medical literature relevant to the set of regions of interest in the set of patient scans to form relevant medical literature;

correlate portions of the relevant medical literature describing the set of regions of interest in the set of patient scans to the set of regions of interest in the set of patient scans to form correlated portions of the relevant medical literature;

generate a result, wherein the result comprises the set of patient scans and a set of links to the correlated portions of the relevant medical literature; and

embed the set of links to the correlated portions of the relevant medical literature within the set of patient scans, wherein a user selects a link in the embedded set of links within the set of patient scans to view a portion of the correlated portions of the relevant medical literature describing a region of interest in the set of regions of interest in the set of patient scans.

17. The apparatus of claim 16 wherein the processor unit further executes the computer usable program code to identify the set of electronic medical literature sources;

and search medical literature available from the set of electronic medical literature sources using at least one of data mining, search engines, and queries to identify the relevant medical literature in the medical literature available from the set of electronic medical literature sources.

18. The apparatus of claim 16 wherein the processor unit further executes the computer usable program code to receive a set of brain scans for a set of subjects in various demographic groups having identified abnormalities in the set of brain scans to form baseline abnormal scans;

and analyze the baseline abnormal scans to identify an abnormal appearance of areas in brain scans, wherein an abnormal scan is a scan that shows indications of disease or abnormalities in the areas of the brain scans.

19. The apparatus of claim 16 wherein the processor unit further executes the computer usable program code to receive a set of brain scans for a set of healthy subjects in various demographic groups to form the set of baseline control scans;

and analyze the set of baseline control scans to identify a normal appearance of areas in normal brain scans, wherein a normal brain scan is a scan that does not show indications of disease or abnormalities in the areas in the normal brain scan.

20. An apparatus for mapping medical literature onto neurological images, the apparatus comprising:

a computer readable storage device having computer usable program code embodied thereon for a neuroimage mapping manager and at least one processing unit for executing the computer usable program code, the neuroimage mapping manager configured to perform an analysis on neurological images of a patient and automatically identify a set of regions of interest and map relevant portions of medical literature to the set of regions of interest, the neuroimage mapping manager further comprising;

a comparator configured to compare a set of brain scans for a patient to a set of baseline control scans to automatically identify the set of regions of interest in the set of patient scans, wherein a region of interest is an area in a scan that shows an indication of a potential abnormality;

a medical data and text analytics component configured to search a set of electronic medical literature sources for medical literature relevant to the set of regions of interest in the set of patient scans to form relevant medical literature, and wherein the medical data and text analytics component further comprises;

a correlation engine configured to correlate portions of the relevant medical literature describing the set of regions of interest in the set of patient scans to the set of regions of interest in the set of patient scans to form correlated portions of the relevant medical literature; and

wherein the neuroimage mapping manager is further configured to generate a result of the analysis of the neurological images, wherein the result comprises the set of regions of interest in the set of patient scans and a set of links to the correlated portions of the relevant medical literature, and wherein the neuroimage mapping manager is further configured to embed the set of links to the correlated portions of the relevant medical literature within the set of patient scans, wherein a user selects a link in the embedded set of links within the set of patient scans to view a portion of the correlated portions of the relevant medical literature describing a region of interest in the set of regions of interest in the set of patient scans.

21. The apparatus of claim 20 further comprising:

a set of computers, wherein the computer readable storage device having the computer usable program code embodied thereon for the neuroimage mapping manager is located on the set of computers.

22. The apparatus of claim 20 further comprising:

an input/output device, wherein the input/output device presents the set of regions of interest automatically selected by the neuroimage mapping manager to the user and prompts the user to indicate whether the user desires to select one or more additional regions of interest to be added to the set of regions of interest or select one or more undesired regions of interest to be removed from the set of regions of interest; and

wherein the neuroimage mapping manager is further configured to add the one or more additional regions of interest to the set of regions of interest in the set of patient scans in response to the input/output device receiving a selection of at least one additional region of interest from the user, and wherein the neuroimage mapping manager is further configured to remove de-selected regions of interest from the set of regions of interest in response to receiving a selection of a set of de-selected regions of interest to be removed from the set of regions of interest from the user.

23. The apparatus of claim 20 wherein the medical data and text analytics is further configured to analyze baseline normal scans to identify a normal appearance of areas in normal brain scans in response to receiving a set of brain scans for a set of healthy subjects in various demographic groups to form the baseline normal scans and, wherein a normal brain scan is a scan that does not show indications of disease or abnormalities in the areas in the normal brain scans;

and wherein the medical data and text analytics is further configured to analyze baseline abnormal scans to identify an abnormal appearance of areas in brain scans in response to receiving a set of brain scans for a set of subjects in various demographic groups having identified abnormalities in the set of brain scans to form the baseline abnormal scans, wherein an abnormal scan is a scan that shows indications of disease or abnormalities in the areas of the brain scans.