A Computational Flow Dynamics Based Method for Estimating Thromboembolic Risk in Patients with Myocardial Infarction

Case ID:
C12332
Disclosure Date:
2/4/2013
We present a unique method for quantitative assessment and estimation of thromboembolic risk in patients recovering from myocardial infarction. The method takes cardiac imaging data (CT, echo, CMR) from a patient and constructs a time]dependent geometric model of the left]ventricle (LV) from this data. This model is then subjected to computational fluid dynamic (CFD) analysis and the CFD analysis generates a variety of metrics that correlate with the risk of LV thrombus formation. The risk predicted by the CFD analysis can used to determine the course of treatment for the patient.
Patent Information:
Title App Type Country Serial No. Patent No. File Date Issued Date Expire Date Patent Status
COMPUTATIONAL FLOW DYNAMICS BASED METHOD FOR ESTIMATING THROMBOEMBOLIC RISK IN PATIENTS WITH MYOCARDIAL INFARCTION PCT: Patent Cooperation Treaty United States 14/767,668 10,485,517 8/13/2015 11/26/2019 10/25/2036 Granted
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For Information, Contact:
Heather Curran
hpretty2@jhu.edu
410-614-0300
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