Patents by Inventor Jingjing Kanik

Jingjing Kanik has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Estimation of a mechanical property of anatomy from medical scan data
    Patent number: 9585632
    Abstract: A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.
    Type: Grant
    Filed: April 23, 2014
    Date of Patent: March 7, 2017
    Assignees: SIEMENS MEDICAL SOLUTIONS USA, INC., YALE UNIVERSITY
    Inventors: Jingjing Kanik, Puneet Sharma, Tommaso Mansi, Razvan Ionasec, Ali Kamen, Dorin Comaniciu, James S. Duncan
  • ESTIMATION OF A MECHANICAL PROPERTY OF ANATOMY FROM MEDICAL SCAN DATA
    Publication number: 20150305706
    Abstract: A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.
    Type: Application
    Filed: April 23, 2014
    Publication date: October 29, 2015
    Applicants: Siemens Corporation, Yale University
    Inventors: Jingjing Kanik, Puneet Sharma, Tommaso Mansi, Razvan Ionasec, Ali Kamen, Dorin Comaniciu, James S. Duncan