INTERACTIVE OPTIMIZATION OF SCAN DATABASES FOR STATISTICAL TESTING
First Claim
1. An imaging system which generates a patient image collective, comprising:
- a data store which stores a collective of images;
one or more processors programmed to;
a) receive a plurality of candidate images and associated data for inclusion in the collective of images;
b) apply at least one inclusion/exclusion rule to the plurality of candidate images and the associated data which results in a subset of candidate images;
c) test the candidate images based on at least one quality measure;
d) review the at least one quality measure and the candidate images;
e) refine the at least one inclusion/exclusion rule based on the reviewed at least one quality measure by at least one of;
adding a rule, modifying a rule, deleting a rule, removing a candidate image; and
adding a candidate image;
repeat b)-e) until an optimized collective of images is generated based on the collective size and reviewed at least one quality measure; and
output at least one generated collective to the data store or to a display.
1 Assignment
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Accused Products
Abstract
Generating a patient image collective (34) includes receiving a plurality of candidate images (20) and associated data. At least one inclusion/exclusion rule (44) is applied to the plurality of candidate images and associated data which results in subsets of candidate images (32). The candidate images are tested which result in at least one quality measure (40). The at least one quality measure (40) and associated candidate images are reviewed. The at least one inclusion/exclusion rule (44) is refined based on the reviewed at least one quality measure (40) by at least one of: adding a rule, modifying a rule, deleting a rule, removing a candidate image; and adding a candidate image. The steps of applying the at least one inclusion/exclusion rule through refining the at least one inclusion/exclusion rule are repeated until an optimized collective of images is generated based on a collective size and the at least one quality measure (40). The generated collective is outputted to a data store (34).
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Citations
20 Claims
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1. An imaging system which generates a patient image collective, comprising:
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a data store which stores a collective of images; one or more processors programmed to; a) receive a plurality of candidate images and associated data for inclusion in the collective of images; b) apply at least one inclusion/exclusion rule to the plurality of candidate images and the associated data which results in a subset of candidate images; c) test the candidate images based on at least one quality measure; d) review the at least one quality measure and the candidate images; e) refine the at least one inclusion/exclusion rule based on the reviewed at least one quality measure by at least one of;
adding a rule, modifying a rule, deleting a rule, removing a candidate image; and
adding a candidate image;repeat b)-e) until an optimized collective of images is generated based on the collective size and reviewed at least one quality measure; and output at least one generated collective to the data store or to a display. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for generating a patient image collective, comprising:
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a) receiving a plurality of candidate images and associated data; b) applying at least one inclusion/exclusion rule to the plurality of candidate images and the associated data which results in a subset of candidate images; c) testing the candidate images based on at least one quality measure; d) reviewing the at least one quality measure and the candidate images; e) refining the at least one inclusion/exclusion rule based on the reviewed at least one quality measure by at least one of adding a rule, modifying a rule, deleting a rule, removing a candidate image; and
adding a candidate image;repeating b)-e) until an optimized collective of images is generated based on a collective size and the at least one quality measure; and outputting the generated collective to a data store or to a display - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. An imaging system comprising:
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a data store which stores an arcane collective in a common space; one or more processors configured to receive candidate images, transform the candidate images to common space, retrieve the image collective from the data store, refine the image collective by adding candidate images to the image collective and excluding images from the image collective by applying rules and/or quality measures based on (i) individual image characteristics, (ii) available information about patients and patient histories, (iii) clinical information from other medical examinations,
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Specification