Invention Grant
US08977019B2 Methods for microcalcification detection of breast cancer on digital tomosynthesis mammograms
有权
乳腺癌微钙化检测方法在数字断层合成乳房X光检查中的应用
- Patent Title: Methods for microcalcification detection of breast cancer on digital tomosynthesis mammograms
- Patent Title (中): 乳腺癌微钙化检测方法在数字断层合成乳房X光检查中的应用
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Application No.: US13514804Application Date: 2011-02-11
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Publication No.: US08977019B2Publication Date: 2015-03-10
- Inventor: Heang-Ping Chan , Berkman Sahiner , Lubomir M. Hadjiiski , Jun Wei , Mark A. Helvie
- Applicant: Heang-Ping Chan , Berkman Sahiner , Lubomir M. Hadjiiski , Jun Wei , Mark A. Helvie
- Applicant Address: US MI Ann Arbor
- Assignee: The Regents of the University of Michigan
- Current Assignee: The Regents of the University of Michigan
- Current Assignee Address: US MI Ann Arbor
- Agency: Marshall, Gerstein & Borun LLP
- International Application: PCT/US2011/024469 WO 20110211
- International Announcement: WO2011/100511 WO 20110818
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; A61B6/02 ; A61B6/00

Abstract:
A computer-aided detection system to detect clustered microcalcifications in digital breast tomosynthesis (DBT) is disclosed. The system performs detection in 2D images and a reconstructed 3D volume. The system may include an initial prescreening of potential microcalcifications by using one or more 3D calcification response function (CRF) values modulated by an enhancement method to identify high response locations in the DBT volume as potential signals. Microcalcifications may be enhanced using a Multi-Channel Enhancement method. Locations detected using these methods can be identified and the potential microcalcifications may be extracted. The system may include object segmentation that uses region growing guided by the enhancement-modulated CRF values, gray level voxel values relative to a local background level, or the original DBT voxel values. False positives may be reduced by descriptors of characteristics of microcalcifications. Detected locations of clusters and a cluster significance rating of each cluster may be output and displayed.
Public/Granted literature
- US20120294502A1 Methods for Microalification Detection of Breast Cancer on Digital Tomosynthesis Mammograms Public/Granted day:2012-11-22
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