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Method and system for using structure tensors to detect lung nodules and colon polyps

A technology of structure tensor and basic structure, applied in character and pattern recognition, special data processing applications, image enhancement, etc., can solve the problem of not detecting various cancer characteristics and symptoms

Inactive Publication Date: 2006-09-20
SIEMENS MEDICAL SOLUTIONS USA INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Unfortunately, existing methods often do not detect the characteristic symptoms of various cancers until the advanced stages of the disease

Method used

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  • Method and system for using structure tensors to detect lung nodules and colon polyps
  • Method and system for using structure tensors to detect lung nodules and colon polyps
  • Method and system for using structure tensors to detect lung nodules and colon polyps

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Embodiment Construction

[0017] Detailed Description of Preferred Embodiments

[0018] 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. It should of course be understood that in the development of any such practical embodiment a large number of implementation-related decisions must be made to achieve the developer's specific objectives, such as compliance with system-related and business-related constraints, which can be found in various Implementations will vary. Furthermore, it should be understood that such a developmental effort might be complex and time-consuming, but would no more than be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure.

[0019] The invention is susceptible to various modifications and alternative forms, specific embodiments of which have been shown by way of example in the drawings and described in detai...

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Abstract

A method of identifying spherical objects in a digital image is provided. The image comprises a plurality of 3D surface points. The method includes computing (101), at each point in a domain of the image, a gradient of the image; computing (102) an elementary structure tensor at each point in the domain of the image; determining (103) a structure tensor for each point in the domain of the image; finding (104) the eigenvalues of the structure tensors; and calculating (105) an isotropy measure for each structure tensor, wherein said isotropy measure is defined by a ratio of a smallest eigenvalue of said structured tensor by a largest eigenvalue of said structure tensor, wherein a spherical object correspond to an isotropy measure equal to unity.

Description

[0001] Cross References to Related US Applications [0002] This application claims priority to US Provisional Application 60 / 494647, filed Aug. 13, 2003, entitled "Use of Structural Tensors for Lung Nodule and Colon Polyp Detection," by Pascal Cathier, the contents of which are hereby incorporated by reference in their entirety. Background of the invention [0003] Superior diagnostic information derived from data obtained from current imaging systems allows detection of potential problems at an earlier and more treatable stage. [0004] Assuming that a large amount of detailed data can be obtained from an imaging system, various algorithms must be investigated to efficiently and accurately process the image data. Advances in image processing are usually done on digital or digitized images with the help of computers. [0005] Digital capture systems used to create digital images include digital radiography, computed tomography ("CT"), magnetic resonance imaging ("MRI"), ultr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60G06F19/00G06K9/36G06K9/46G06T7/00
CPCG06K9/4647G06T7/403G06T7/0012G06T2207/30061G06T2207/30028G06T2207/10072G06T7/44G06V10/507
Inventor P·卡西尔
Owner SIEMENS MEDICAL SOLUTIONS USA INC
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