title:: US9292917B2 — Method and system for model-based fusion of computed tomography and non-contrasted C-arm computed tomography
patent:: US9292917B2
status:: granted 2016-03-22 · Active
filed:: 2012-11-21
assignee:: Siemens AG
people:: Sasa Grbic, Razvan Ioan Ionasec, Matthias John, Jan Boese, Christian Gesell, Dorin Comaniciu
domain:: Image-Guided Intervention, Computer Vision, Cardiology, Computational Modeling
link:: https://patents.google.com/patent/US9292917B2/en
Figure 1 from the published patent document. Patent drawings are public records.
Abstract
A method and system for model-based fusion of multi-modal volumetric images is disclosed. A first patient-specific model of an anchor anatomical structure is detected in a first medical image acquired using a first imaging modality, and a second patient-specific model of the anchor anatomical structure is detected in a second medical image acquired using a second imaging modality. A weighted mapping function is determined based on the first patient-specific model of the anchor anatomical structure and the second patient-specific model of the anchor anatomical structure using learned weights to minimize mapping error with respect to a target anatomical structure. The target anatomical structure from the first medical image to the second medical image using the weighted mapping function. In an application of this model-based fusion to transcatheter valve therapies, the trachea bifurcation is used as the anchor anatomical structure and the aortic valve is the target anatomical structure.
Data Points
- US9292917B2 — granted US patent (kind code B2)
- Filed 2012-11-21, granted 2016-03-22
- Legal status today — Active
- Assignee — Siemens AG
- Co-inventors — Sasa Grbic, Matthias John, Jan Boese, Christian Gesell, Dorin Comaniciu
Part of the complete record in Patents.
