Xudong Zheng

20130246034, Sep 19, 2013

Mar 11, 2013

13/794113

Puneet Sharma - Monmouth Junction NJ, US
Lucian Mihai Itu - Brasov, RO
Ali Kamen - Skillman NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Xudong Zheng - Plainsboro NJ, US
Huseyin Tek - Princeton NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Dominik Bernhardt - March, DE
Fernando Vega-Higuera - Erlangen, DE
Michael Scheuering - Nuernberg, DE

Siemens Aktiengesellschaft - Munich
Siemens Corporation - Iselin NJ

G06F 19/12

703 11

A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

20140012558, Jan 9, 2014

Jun 27, 2013

13/928430

Tommaso Mansi - Westfield NJ, US
Wei Keat Lim - Jersey City NJ, US
Vanessa King - Princeton NJ, US
Andreas Kremer - Wien, AT
Bogdan Georgescu - Plainsboro NJ, US
Xudong Zheng - Plainsboro NJ, US
Ali Kamen - Skillman NJ, US
Andreas Keller - Puttlingen, DE
Cord Friedrich Staehler - Hirschberg an der Bergstrasse, DE
Emil Wirsz - Furth, DE
Dorin Comaniciu - Princeton Junction NJ, US

SIEMENS CORPORATION - Iselin NJ
SIEMENS AG OSTERREICH - Wien
SIEMENS AKTIENGESELLSCHAFT - Munich

G06F 19/00

703 11

A system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the imaging data when the system operates in a first mode, and generate a model of organ functionality based on one or more inferred multi-scale parameters when the system operates in a second mode. The molecular model is configured to generate one or more first molecular findings based on a molecular network analysis of the molecular data, wherein the molecular model is constrained by the estimated parameters when the system operates in the first mode. The linking component, which is operably coupled to the multi-scale model and the molecular model, is configured to transfer the estimated multi-scale parameters from the multi-scale model to the molecular model when the system operates in the first mode, and generate, using a machine learning process, the inferred multi-scale parameters based on the molecular findings when the system operates in the second mode.

20140024932, Jan 23, 2014

Jul 9, 2013

13/937313

Puneet Sharma - Monmouth Junction NJ, US
Xudong Zheng - Plainsboro NJ, US
Ali Kamen - Skillman NJ, US
Lucian Mihai Itu - Brasov, RO
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Thomas Redel - Poxdorf, DE
Saikiran Rapaka - Ewing NJ, US
Viorel Mihalef - Keasbey NJ, US
Jan Boese - Eckental, DE

SIEMENS AKTIENGESELLSCHAFT - Munich
SIEMENS CORPORATION - Iselin NJ

A61B 6/00

600431

Methods for computing hemodynamic quantities include: (a) acquiring angiography data from a patient; (b) calculating a flow and/or calculating a change in pressure in a blood vessel of the patient based on the angiography data; and (c) computing the hemodynamic quantity based on the flow and/or the change in pressure. Systems for computing hemodynamic quantities and computer readable storage media are described.

20140058715, Feb 27, 2014

Nov 4, 2013

14/070810

Puneet Sharma - Monmouth Junction NJ, US
Lucian Mihai Itu - Brasov, RO
Ali Kamen - Skillman NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Xudong Zheng - Plainsboro NJ, US
Huseyin Tek - Princeton NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Dominik Bernhardt - March, DE
Fernando Vega-Higuera - Erlangen, DE
Michael Scheuering - Nuernberg, DE

SIEMENS AKTIENGESELLSCHAFT - Munich
SIEMENS CORPORATION - Iselin NJ

G06F 19/00

703 11

A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

20130197884, Aug 1, 2013

Feb 1, 2013

13/757517

Tommaso Mansi - Westfield NJ, US
Viorel Mihalef - Keasbey NJ, US
Xudong Zheng - Plainsboro NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Saikiran Rapaka - Eagleville PA, US
Puneet Sharma - Rahway NJ, US
Ali Kamen - Skillman NJ, US
Dorin Comaniciu - Princeton Junction NJ, US

Siemens Corporation - Iselin NJ

G06F 19/00

703 2

Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

20130197881, Aug 1, 2013

Jan 30, 2013

13/754174

Tommaso Mansi - Westfield NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Xudong Zheng - Plainsboro NJ, US
Ali Kamen - Skillman NJ, US
Dorin Comaniciu - Princeton Junction NJ, US

Siemens Aktiengesellschaft - Munich
Siemens Corporation - Iselin NJ

G06F 17/50

703 2

A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.

20190046125, Feb 14, 2019

Oct 16, 2018

16/161558

- Erlangen, DE
Xudong Zheng - Bangor ME, US
Ali Kamen - Skillman NJ, US
Lucian Mihai Itu - Brasov, RO
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Thomas Redel - Poxdorf, DE
Jan Boese - Eckental, DE
Viorel Mihalef - North Brunswick NJ, US
Saikiran Rapaka - Pennington NJ, US

A61B 5/00
A61B 6/00

Methods for computing hemodynamic quantities include: (a) acquiring angiography data from a patient; (b) calculating a flow and/or calculating a change in pressure in a blood vessel of the patient based on the angiography data; and (c) computing the hemodynamic quantity based on the flow and/or the change in pressure. Systems for computing hemodynamic quantities and computer readable storage media are described.

20160073970, Mar 17, 2016

Nov 20, 2015

14/947954

- Munich, DE
Xudong Zheng - Plainsboro NJ, US
Ali Kamen - Skillman NJ, US
Lucian Mihai Itu - Brasov, RO
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Thomas Redel - Poxdorf, DE
Jan Boese - Eckental, DE
Viorel Mihalef - Keasbey NJ, US
Saikiran Rapaka - Ewing NJ, US

A61B 5/00
A61B 5/026
A61B 5/021
A61B 5/02

Methods for computing hemodynamic quantities include: (a) acquiring angiography data from a patient; (b) calculating a flow and/or calculating a change in pressure in a blood vessel of the patient based on the angiography data; and (c) computing the hemodynamic quantity based on the flow and/or the change in pressure. Systems for computing hemodynamic quantities and computer readable storage media are described.