title:: US9547902B2 — Method and system for physiological image registration and fusion
patent:: US9547902B2
status:: granted 2017-01-17 · Active
filed:: 2009-09-18
assignee:: Siemens Healthcare GmbH
people:: Razvan Ionasec, Bogdan Georgescu, Yefeng Zheng, Dorin Comaniciu
domain:: Image-Guided Intervention, Computer Vision, Machine Learning, Medical Imaging
link:: https://patents.google.com/patent/US9547902B2/en
Figure 1 from the published patent document. Patent drawings are public records.
Why this one
The fusion primitive a dozen later filings build on — anatomy-based rather than intensity-based registration, which is what makes it work across modalities whose intensities have nothing in common.
Abstract
A method and system for physiological image registration and fusion is disclosed. A physiological model of a target anatomical structure in estimated each of a first image and a second image. The physiological model is estimated using database-guided discriminative machine learning-based estimation. A fused image is then generated by registering the first and second images based on correspondences between the physiological model estimated in each of the first and second images.
Data Points
- US9547902B2 — granted US patent (kind code B2)
- Filed 2009-09-18, granted 2017-01-17
- Legal status today — Active
- Assignee — Siemens Healthcare GmbH
- Co-inventors — Bogdan Georgescu, Yefeng Zheng, Dorin Comaniciu
Part of the complete record in Patents.
