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Method of analysis of local patterns of curvature distributions

A technique of curvature and amount of curvature, applied in the field of local patterns used to analyze the distribution of curvature, to solve problems such as the inability to detect the characteristic symptoms of different cancers

Active Publication Date: 2006-09-20
SIEMENS HEALTHCARE GMBH
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Problems solved by technology

Unfortunately, existing methods often fail to detect the characteristic symptoms of different cancers until the advanced stages of the disease

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  • Method of analysis of local patterns of curvature distributions
  • Method of analysis of local patterns of curvature distributions
  • Method of analysis of local patterns of curvature distributions

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[0019] Illustrative embodiments of the invention are described below. In the interest of clarity, not all features of an actual implementation are described in this specification. Of course, it should be understood that in any such modification of an actual implementation, many implementation-specific decisions must be made to achieve the developer's specific goals, such as compliance with system-related and business-related constraints that will Varies due to different implementations. In addition, it should be appreciated that such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure.

[0020] While the invention is capable of various modifications and alternative forms, specific embodiments thereof have been shown, for example, in the drawings and described in detail herein. It should be understood, however, that the description herein of parti...

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Abstract

A method of detecting lesions and polyps in a digital image, wherein said image comprises a plurality of 3D volume points, is provided. The method includes identifying (101) a surface in the image, and for each point in the image, calculating (102) a first curvature measure, forming (103) a set of rings of points about each point, each ring being of equal geodesic distance from a center point for the ring, calculating (104), for each ring, a standard deviation of the first curvature measure, and selecting (105) those rings with a minimum standard deviation for the first curvature measure. A first curvature slope is calculated (107) for the selected rings, those points where the curvature slope departs from the pattern expected for a polyp or lesion are deleted (108) from the surface.

Description

[0001] Cross-References to Related U.S. Applications [0002] This application claims priority to Anna Jerebko's Provisional Patent Application No. 60 / 494,909, "Analysis of Local Patterns of Curvature Distributions," filed August 13, 2003, the contents of which are incorporated herein by reference. Background of the invention [0003] The diagnostically advanced information available in data obtained from current imaging systems enables detection of potential problems at an earlier and more treatable stage. Given the huge amount of detailed data available from imaging systems, different algorithms must be developed to efficiently and accurately process the image data. Improvements in image processing are usually carried out on digital or digitized images with the aid of computers. [0004] Digital acquisition systems for producing digital images include digital radiography, computed tomography ("CT") imaging, magnetic resonance imaging ("MRI"), ultrasound ("US"), and Tomogra...

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Application Information

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IPC IPC(8): G06T7/00G06T7/60
Inventor A·耶雷布科
Owner SIEMENS HEALTHCARE GMBH
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