Invention Grant
US09256966B2 Multiparametric non-linear dimension reduction methods and systems related thereto
有权
与其相关的多参数非线性尺寸缩小方法和系统
- Patent Title: Multiparametric non-linear dimension reduction methods and systems related thereto
- Patent Title (中): 与其相关的多参数非线性尺寸缩小方法和系统
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Application No.: US14000011Application Date: 2012-02-17
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Publication No.: US09256966B2Publication Date: 2016-02-09
- Inventor: Michael A. Jacobs , Alireza Akhbardeh
- Applicant: Michael A. Jacobs , Alireza Akhbardeh
- Applicant Address: US MD Baltimore
- Assignee: The Johns Hopkins University
- Current Assignee: The Johns Hopkins University
- Current Assignee Address: US MD Baltimore
- Agency: Mintz Levin Cohn Ferris Glovsky and Popeo, P.C.
- Agent Peter F. Corless; Richard B. Emmons
- International Application: PCT/US2012/025705 WO 20120217
- International Announcement: WO2012/154260 WO 20121115
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T11/00 ; A61B5/055 ; G06K9/62 ; G06T7/00 ; A61B5/00 ; A61B6/00

Abstract:
Featured are methods and systems to multiparametric non-linear dimension reduction (NLDR) methods for segmentation and classification of radiological images. Such methods for segmentation and classification of radiological images, includes pre-processing of acquired image data; and reconstructing the acquired image data using a non-linear dimension reduction technique so as to yield an embedded image representing all of the acquired, where the acquired image data comprises a plurality of different sets of image data of the same region of interest. Such NLDR methods and systems are particularly suitable for the ability to combine multiple input images into a single unit for increased specificity of diagnosis.
Public/Granted literature
- US20130322728A1 MULTIPARAMETRIC NON-LINEAR DIMENSION REDUCTION METHODS AND SYSTEMS RELATED THERETO Public/Granted day:2013-12-05
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