Method and system for signal analysis
US-2015379370-A1 · Dec 31, 2015 · US
Multi-bone segmentation for 3D computed tomography
US9495752B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9495752-B2 |
| Application number | US-201313953825-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 30, 2013 |
| Priority date | Sep 27, 2012 |
| Publication date | Nov 15, 2016 |
| Grant date | Nov 15, 2016 |
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Abstract
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Multiple object segmentation is performed for three-dimensional computed tomography. The adjacent objects are individually segmented. Overlapping regions or locations designated as belonging to both objects may be identified. Confidence maps for the individual segmentations are used to label the locations of the overlap as belonging to one or the other object, not both. This re-segmentation is applied for the overlapping local, and not other locations. Confidence maps in re-segmentation and application just to overlap locations may be used independently of each other or in combination.
First claim
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What is claimed is: 1. A method for multiple bone segmentation for three-dimensional computed tomography, the method comprising: receiving computed tomography (CT) data representing first and second bones of a patient; separately segmenting, by a processor, the first and second bones; refining, by the processor, just the segmenting of the first bone using a first confidence map of the segmenting, the first confidence map being a first spatial distribution over voxels; refini…
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- G06T7/0079Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US9495752B2 cover?
- Multiple object segmentation is performed for three-dimensional computed tomography. The adjacent objects are individually segmented. Overlapping regions or locations designated as belonging to both objects may be identified. Confidence maps for the individual segmentations are used to label the locations of the overlap as belonging to one or the other object, not both. This re-segmentation is …
- Who is the assignee on this patent?
- Wu Dijia, Birkbeck Neil, Sofka Michal, and 3 more
- What technology area does this patent fall under?
- Primary CPC classification G06T7/0079. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Nov 15 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).