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System and method for detection of lesions in three-dimensional digital medical image
US9014447B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9014447-B2 |
| Application number | US-71423310-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 26, 2010 |
| Priority date | Feb 27, 2009 |
| Publication date | Apr 21, 2015 |
| Grant date | Apr 21, 2015 |
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Abstract
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A system and method for characterizing a point in a three-dimensional digital medical image includes determining third order derivatives of the three-dimensional digital medical image at one or more points in the three-dimensional digital medical image. At each of the one or more points, one or more invariant or semi-invariant features that characterize a local geometry at the point is determined using the third order derivatives of the three-dimensional digital medical image. The invariant or semi-invariant features are used for automatic detection of lesions, abnormalities, and other anatomical structures of interest in the three-dimensional digital medical image.
First claim
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What is claimed is: 1. A method for characterizing a point in a three-dimensional digital medical image, the method comprising: determining, by a processor, third order derivatives of the three-dimensional digital medical image at one or more points within the three-dimensional digital medical image; determining, by the processor, at each of the one or more points, using the third order derivatives of the three-dimensional digital medical image, one or more invariant features th…
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Physics · mapped topic
- G06T7/0012Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US9014447B2 cover?
- A system and method for characterizing a point in a three-dimensional digital medical image includes determining third order derivatives of the three-dimensional digital medical image at one or more points in the three-dimensional digital medical image. At each of the one or more points, one or more invariant or semi-invariant features that characterize a local geometry at the point is determin…
- Who is the assignee on this patent?
- Slabaugh Gregory Gibran, Siddique Muhammad Musib, Boyes Richard Graham, and 3 more
- What technology area does this patent fall under?
- Primary CPC classification G06T7/0012. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Apr 21 2015 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).