Invention Grant
- Patent Title: Landmark detection with spatial and temporal constraints in medical imaging
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Application No.: US15317353Application Date: 2015-06-08
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Publication No.: US10297027B2Publication Date: 2019-05-21
- Inventor: Mihai Scutaru , Ingmar Voigt , Tommaso Mansi , Razvan Ionasec , Helene C. Houle , Anand Vinod Tatpati , Dorin Comaniciu , Bogdan Georgescu , Noha Youssry El-Zehiry
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- International Application: PCT/US2015/034618 WO 20150608
- International Announcement: WO2015/191414 WO 20151217
- Main IPC: G06T7/143
- IPC: G06T7/143 ; G06K9/62 ; G06T7/11 ; G06T7/174 ; G06T7/00
Abstract:
Anatomy, such as papillary muscle, is automatically detected (34) and/or detected in real-time. For automatic detection (34) of small anatomy, machine-learnt classification with spatial (32) and temporal (e.g., Markov) (34) constraints is used. For real-time detection, sparse machine-learnt detection (34) interleaved with optical flow tracking (38) is used.
Public/Granted literature
- US20170116748A1 Landmark Detection with Spatial and Temporal Constraints in Medical Imaging Public/Granted day:2017-04-27
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