Medical image review workstation with integrated content-based resource retrieval
First Claim
1. A workstation for facilitating interpretation of a medical image by a user, comprising:
- a display device displaying the medical image to the user;
an input device receiving a graphical identification of a location of interest on the medical image from the user; and
a processor performing a content-based image comparison of the location of interest against a resource database, said resource database comprising a collection of resource images previously analyzed by human interpreters and textual information associated with said previous analyses, said content-based image comparison comprising identifying a subset of said resource images similar to said location of interest with respect to a preselected set of computed features;
wherein said resource database further comprises information categorizing each said resource image therein as being from one of;
(i) a first category of medical data source consisting exclusively of preselected, published medical reference texts and medical teaching materials authored by an identified core set of expert authors and commonly recognized as credible and authoritative; and
(ii) a second category of medical data source not qualified as being in said first category;
and wherein said display device displays to the user at least one of said identified subset of resource images and its associated textual information simultaneously with said location of interest, said display device further displaying information identifying into which of said first and second categories the displayed resource image is categorized.
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Accused Products
Abstract
A review workstation for facilitating interpretation of a medical image by a user is described. The review workstation comprises a display device displaying the medical image to the user, and an input device receiving a graphical identification of a region of interest (ROI) in the medical image that is interesting to the user. Responsive to the identification of the ROI, a content-based image comparison is performed between the ROI and a resource database, the resource database comprising a collection of resource images previously analyzed by human interpreters and textual information associated with those previous analyses. The content-based image comparison comprises identifying a subset of the resource images similar to the ROI with respect to a preselected set of computed features. The display device subsequently displays to the user at least one of the identified subset of resource images and its associated textual information simultaneously with the ROI.
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Citations
29 Claims
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1. A workstation for facilitating interpretation of a medical image by a user, comprising:
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a display device displaying the medical image to the user; an input device receiving a graphical identification of a location of interest on the medical image from the user; and a processor performing a content-based image comparison of the location of interest against a resource database, said resource database comprising a collection of resource images previously analyzed by human interpreters and textual information associated with said previous analyses, said content-based image comparison comprising identifying a subset of said resource images similar to said location of interest with respect to a preselected set of computed features; wherein said resource database further comprises information categorizing each said resource image therein as being from one of; (i) a first category of medical data source consisting exclusively of preselected, published medical reference texts and medical teaching materials authored by an identified core set of expert authors and commonly recognized as credible and authoritative; and (ii) a second category of medical data source not qualified as being in said first category; and wherein said display device displays to the user at least one of said identified subset of resource images and its associated textual information simultaneously with said location of interest, said display device further displaying information identifying into which of said first and second categories the displayed resource image is categorized. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for facilitating interpretation of a medical image, comprising:
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identifying a first plurality of medical data sources meeting a predetermined selection criterion as being from published medical reference texts and medical teaching materials authored by an identified core set of expert authors and commonly recognized as credible and authoritative; identifying a second plurality of medical data sources not meeting said predetermined selection criterion; forming from said first and second pluralities of medical data sources a resource database comprising a collection of resource images previously analyzed by human interpreters and textual information associated therewith, wherein said resource database further comprises information categorizing each of the resource images into one of a first category and a second category according to the one of the first and second pluralities of medical data sources, respectively, with which its corresponding medical data source was identified; displaying the medical image to a user; receiving a graphical input from the user identifying a region of interest (ROI) in the medical image that is interesting to the user; performing a content-based image comparison of the ROI against said resource database, said content-based image comparison comprising identifying a subset of said resource images similar to said ROI with respect to a predetermined computed image feature set; and displaying to the user at least one of said identified subset of resource images and its associated textual information simultaneously with said ROI, and further displaying information identifying into which of the first and second categories the displayed resource image is categorized. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A CAD system for facilitating interpretation of a medical image, comprising:
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a CAD processor for processing the medical image to detect anatomical abnormalities therein according to a CAD algorithm, the CAD algorithm computing a predetermined feature set for each potentially abnormal location within the medical image; a display unit for displaying the medical image to a user and further displaying thereon CAD markers corresponding to detected anatomical abnormalities; a graphical input unit for receiving a graphical identification of a region of interest (ROI) in the medical image that is interesting to the user; a comparison processor for performing a content-based image comparison of the ROI against a resource database, said resource database comprising a collection of resource images previously analyzed by human interpreters and textual information associated therewith, said content-based image comparison comprising identifying a subset of said resource images similar to said ROI with respect to one or more features in said predetermined feature set, said display unit displaying to the user at least one of said identified subset of resource images and said associated textual information simultaneously with said ROI; wherein said resource database further comprises information categorizing each said resource image therein as being from one of; (i) a first category of medical data source consisting exclusively of preselected, published medical reference texts and medical teaching materials authored by an identified core set of expert authors and commonly recognized as credible and authoritative; and (ii) a second category of medical data source not qualified as being in said first category; and wherein said display unit further displays information identifying into which of said first and second categories the displayed resource image is categorized. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29)
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Specification