Mapping of literature onto regions of interest on neurological images

US9390233B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9390233-B2
Application numberUS-201213452331-A
CountryUS
Kind codeB2
Filing dateApr 20, 2012
Priority dateJun 18, 2008
Publication dateJul 12, 2016
Grant dateJul 12, 2016

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Abstract

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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.

First claim

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What is claimed is: 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 fro

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What does patent US9390233B2 cover?
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 …
Who is the assignee on this patent?
Fueyo Joanna Lynn, Angell Robert Lee, Friedlander Robert R, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06F19/345. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 12 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).