title:: US8812431B2 — Method and system for medical decision support using organ models and learning based discriminative distance functions
patent:: US8812431B2
status:: granted 2014-08-19 · Active
filed:: 2011-01-28
assignee:: Siemens AG
people:: Ingmar Voigt, Dime Vitanovski, Razvan Ioan Ionasec, Alexey Tsymbal, Bogdan Georgescu, Shaohua Kevin Zhou, Martin Huber, Dorin Comaniciu
domain:: Machine Learning, Clinical Decision Support, Cardiology, Computational Modeling
link:: https://patents.google.com/patent/US8812431B2/en
Figure 1 from the published patent document. Patent drawings are public records.
Abstract
A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model.
Data Points
- US8812431B2 — granted US patent (kind code B2)
- Filed 2011-01-28, granted 2014-08-19
- Legal status today — Active
- Assignee — Siemens AG
- Co-inventors — Ingmar Voigt, Dime Vitanovski, Alexey Tsymbal, Bogdan Georgescu, Shaohua Kevin Zhou, Martin Huber, Dorin Comaniciu
Part of the complete record in Patents.
