Dynamic local registration system and method
Abstract
In accordance with the teachings described herein, systems and methods are provided for generating images for use in systems, e.g., imaging systems. The method includes receiving at least a first set of images, providing a first registration, providing a display, and displaying a first image on said display. Further, the method includes providing a user interface, providing a second registration, and displaying a second image in said user interface. Further, the systems include an image database, a display, and a registration engine. The registration engine includes software instructions stored in at least one memory device and executable by one or more processors.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A processor-implemented method for use in imaging systems, comprising:
receiving at least a first set of images; providing a first registration; providing a display; displaying a first image on said display; providing a user interface, wherein said user interface is displayed in conjunction with at least a portion of said first image; providing a second registration; and displaying a second image in said user interface.
2 . The method of claim 1 , wherein said user interface includes a localization point.
3 . The method of claim 1 , wherein said first registration or said second registration is generated by at least a first registration algorithm.
4 . The method of claim 1 , wherein said second registration is a low order registration.
5 . The method of claim 1 , wherein said first registration is a high order deformable registration.
6 . The method of claim 1 , wherein said second registration approximates said first registration.
7 . The method of claim 1 , wherein said second image graphically illustrates differences between said first registration and said second registration.
8 . The method of claim 7 , wherein said second image is a heat map.
9 . The method of claim 8 , wherein said heat map displayed on said display includes at least one of the following: a plurality of colors, a plurality of cross hatchings, and a plurality of graphical images.
10 . The method of claim 1 , wherein said second image is registered by said first and second registrations to said first image.
11 . The method of claim 10 , wherein said second image is checkered with said first image.
12 . The method of claim 1 , wherein said second image is blended with said first image.
13 . The method of claim 12 , wherein said blended image includes about 50% of said first image.
14 . The method of claim 1 , wherein the said second image includes a blend having a heat map and an image composite.
15 . The method of claim 3 , wherein said user interface receives at least one adjustment input for rerunning said at least first registration algorithm.
16 . The method of claim 15 , wherein said user interface displays an updated second image.
17 . The method of claim 1 , wherein said user interface receives highlighting.
18 . The method of claim 1 , wherein said user interface receives at least one of the following inputs: good, poor, or other notation.
19 . The method of claim 3 , wherein a user dynamically selects at least a first localization point and said at least a first registration algorithm provides an updated second image in said user interface.
20 . The method of claim 1 , further including providing a recording of a user notation of said at least first registration for at least one area.
21 . The method of claim 1 , further providing a report of a user classification of said at least first registration for at least one area.
22 . A processor-implemented method for use in imaging systems, comprising:
receiving a first set of images; receiving a second set of images; providing a display; displaying a first image on said display; providing a user interface having a first localization point, wherein said user interface is displayed over at least a portion of said first image; running at least a first registration algorithm to provide a first registration; displaying a second image in said user interlace, wherein said first registration is applied to at least a portion of said second image.
23 . A method of claim 22 , wherein a user can classify said first registration in at least one area.
24 . A method of claim 23 , wherein a global registration includes at least said first registration.
25 . A method of claim 22 , where a user can segment structures of interest based on at least said secondary image.
26 . A system for generating an image, comprising:
an image database, said image database including at least a first set of images; a display, said display configured to display at least one image having at least one user interface; and a registration engine, said registration engine configured to load or generate at least a first registration; wherein at least said registration engine comprise software instructions stored in at least one memory device and executable by one or more processors.
27 . The system of claim 26 , further comprising a user confidence engine and a registration evaluation engine.
28 . The system of claim 27 , wherein said user confidence engine is configured to record a user classification input as a user reviews said at least one image having at least one user interface.
29 . The system of claim 27 , wherein said user confidence engine is configured to generate a user confidence report.
30 . The system of claim 26 , further comprising a user input engine, said user input engine configured to receive user input and output user input to at least said registration engine.
31 . A processor-implemented method for use in imaging systems, comprising:
receiving at least a first set of images; providing a first registration; providing localization points; and using at least a first registration algorithm to compare registrations at said localization points.
32 . The method of claim 31 , wherein the at least first registration algorithm compotes registrations that are approximations to said first registration near said localization point.
33 . The method of claim 31 , wherein said localization points are predetermined or user adjustable.
34 . The method of claim 31 , wherein said registration using localization points are combined into a global registration.
35 . The method of claim 31 , wherein a second image is generated from a difference between said first registration and said computed registration.Join the waitlist — get patent alerts
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