Invention Grant
- Patent Title: Automated anatomical labeling by multi-contrast diffeomorphic probability fusion
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Application No.: US15112164Application Date: 2015-01-20
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Publication No.: US10535133B2Publication Date: 2020-01-14
- Inventor: Michael I. Miller , Susumu Mori , Xiaoying Tang
- Applicant: The Johns Hopkins University
- Applicant Address: US MD Baltimore
- Assignee: The Johns Hopkins University
- Current Assignee: The Johns Hopkins University
- Current Assignee Address: US MD Baltimore
- Agency: Venable LLP
- Agent Henry J. Daley
- International Application: PCT/US2015/012092 WO 20150120
- International Announcement: WO2015/109331 WO 20150723
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/174 ; A61B6/03 ; G06K9/46 ; A61B5/055 ; G06T7/143 ; G06T7/11 ; G06T7/33 ; A61B6/00 ; A61B8/08 ; G06K9/52 ; G06K9/62

Abstract:
A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.
Public/Granted literature
- US20160343127A1 AUTOMATED ANATOMICAL LABELING BY MULTI-CONTRAST DIFFEOMORPHIC PROBABILITY FUSION Public/Granted day:2016-11-24
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