Yang Wang

US Patent:

20100240996, Sep 23, 2010

Filed:

Feb 8, 2010

Appl. No.:

12/702036

Inventors:

Ingmar Voigt - Erlangen, DE
Yang Wang - Plainsboro NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Helene C. Houle - San Jose CA, US
Dorin Comaniciu - Princeton Junction NJ, US
Fernando Vega-Higuera - Erlangen, DE

International Classification:

A61B 8/14
G06K 9/62

US Classification:

600443, 382128

Abstract:

Heart valve operation is assessed with patient-specific medical diagnostic imaging data. To deal with the complex motion of the passive valve tissue, a hierarchal model is used. Rigid global motion of the overall valve, non-rigid local motion of landmarks of the valve, and surface motion of the valve are modeled sequentially. For the non-rigid local motion, a spectral trajectory approach is used in the model to determine location and motion of the landmarks more efficiently than detection and tracking. Given efficiencies in processing, more than one valve may be modeled at a same time. A graphic overlay representing the valve in four dimensions and/or quantities may be provided during an imaging session. One or more of these features may be used in combination or independently.

US Patent:

20110160601, Jun 30, 2011

Filed:

Dec 30, 2009

Appl. No.:

12/650528

Inventors:

Yang Wang - Monmouth Junction NJ, US
Wenyu Wang - Monmouth Junction NJ, US

International Classification:

A61B 5/0402

US Classification:

600509

Abstract:

A device, method and system are provided to continuously store and analyze single or multi-lead ambulatory ECG signals. Each ECG device is self-contained, wire-free, reusable and capable of non-invasive continuous recording, analyzing and indexing of ECG data independently. A pair of snap connectors on the device body attaches the device to standard ECG electrodes to minimize noise caused by the wires. Each device contains a real-time clock to link the ECG data and a detected cardiac event with actual date and time. The device contains a USB port to upload the data to a host system. Multiple such devices are wearable by a patient to form a multi-lead ECG system. There is provided a method to continuously record and analyze ECG data using a self-contained, wire-free ECG device or multiple such devices; and further a method to synchronize the ECG data in multiple devices to realize multi-lead ECG recording.

US Patent:

20110301466, Dec 8, 2011

Filed:

Jun 2, 2011

Appl. No.:

13/151803

Inventors:

Yang Wang - Plainsboro NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Saurabh Datta - Cupertino CA, US
Dorin Comaniciu - Princeton Junction NJ, US

Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
Siemens Corporation - Iselin NJ

International Classification:

A61B 8/06

US Classification:

600454

Abstract:

A method quantifies cardiac volume flow for an imaging sequence. The method includes receiving data representing three-dimensions and color Doppler flow data over a plurality of frames, constructing a ventricular model based on the data representing three-dimensions for the plurality of frames, the ventricular model including a sampling plane configured to measure the cardiac volume flow, computing volume flow samples based on the sampling plane and the color Doppler flow data, and correcting the volume flow samples for aliasing based on volumetric change in the ventricular model between successive frames of the plurality of frames.

US Patent:

20120022843, Jan 26, 2012

Filed:

Apr 20, 2011

Appl. No.:

13/091076

Inventors:

Ingmar Voigt - Erlangen, DE
Viorel Mihalef - Keasbey NJ, US
Sasa Grbic - Erlangen, DE
Dime Vitanovski - Erlangen, DE
Yang Wang - Plainsboro NJ, US
Yefeng Zheng - Dayton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Puneet Sharma - Rahway NJ, US
Tommaso Mansi - Westfield NJ, US

International Classification:

G06G 7/60
G06G 7/57

US Classification:

703 9, 703 11

Abstract:

A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step. The comprehensive patient-specific model of the heart representing anatomy, dynamics, hemodynamics, and fluid structure interaction can be used for non-invasive assessment and diagnosis of the heart, as well as virtual therapy planning and cardiovascular disease management. Parameters of the comprehensive patient-specific model are changed or perturbed to simulate various conditions or treatment options, and then the patient specific model is recalculated to predict the effect of the conditions or treatment options.

US Patent:

20120078097, Mar 29, 2012

Filed:

Sep 16, 2011

Appl. No.:

13/234697

Inventors:

Yang Wang - Plainsboro NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Helene C. Houle - San Jose CA, US
Dorin Comaniciu - Princeton Junction NJ, US

Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
Siemens Corporation - Iselin NJ

International Classification:

A61B 8/08

US Classification:

600437

Abstract:

Computerized characterization of cardiac wall motion is provided. Quantities for cardiac wall motion are determined from a four-dimensional (i.e., 3D+time) sequence of ultrasound data. A processor automatically processes the volume data to locate the cardiac wall through the sequence and calculate the quantity from the cardiac wall position or motion. Various machine learning is used for locating and tracking the cardiac wall, such as using a motion prior learned from training data for initially locating the cardiac wall and the motion prior, speckle tracking, boundary detection, and mass conservation cues for tracking with another machine learned classifier. Where the sequence extends over multiple cycles, the cycles are automatically divided for independent tracking of the cardiac wall. The cardiac wall from one cycle may be used to propagate to another cycle for initializing the tracking. Independent tracking in each cycle may reduce or avoid inaccuracies due to drift.

US Patent:

20120230568, Sep 13, 2012

Filed:

Mar 6, 2012

Appl. No.:

13/412869

Inventors:

Sasa Grbic - Erlangen, DE
Yang Wang - Princeton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Tommaso Mansi - Westfield NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Yefeng Zheng - Dayton NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US
Matthias John - Nurnberg, DE
Jan Boese - Eckental, DE

Assignee:

Siemens Aktiengesellschaft - Munich
Siemens Corporation - Iselin NJ

International Classification:

G06K 9/36

US Classification:

382131, 382128

Abstract:

A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.

US Patent:

20130144161, Jun 6, 2013

Filed:

Nov 20, 2012

Appl. No.:

13/682272

Inventors:

Yang Wang - Princeton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Saurabh Datta - Pleasanton CA, US

International Classification:

A61B 8/06

US Classification:

600438

Abstract:

Velocities are unaliased using conditional random fields. To constrain the energy minimization function, a global term includes a measure of a level of aliasing. In one example, the measure of the level of aliasing is based on a change in volume, such as the volume of the left ventricle. The unaliasing is performed along one or more surfaces, such as surfaces intersecting the mitral annulus and the left ventricle outflow tract. The anatomy used is identified and/or tracked using one or more machine-learnt detectors. Both B-mode and velocity information may be used for detecting the anatomy.

US Patent:

20140052001, Feb 20, 2014

Filed:

May 30, 2013

Appl. No.:

13/905690

Inventors:

Dime Vitanovski - Augsburg, DE
Yang Wang - Princeton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Ingmar Voigt - Erlangen, DE
Saurabh Datta - Pleasanton CA, US
Dorin Comaniciu - Princeton Junction NJ, US

International Classification:

A61B 8/06
A61B 5/00
A61B 8/08
A61B 8/00
A61B 8/14

US Classification:

600441, 600440

Abstract:

A mitral valve is detected in transthoracic echocardiography. The ultrasound transducer is positioned against the chest of the patient rather than being inserted within the patient. While data acquired from such scanning may be noisier or have less resolution, the mitral valve may still be automatically detected. Using both B-mode data representing tissue as well as flow data representing the regurgitant jet, the mitral valve may be detected automatically with a machine-learnt classifier. A series of classifiers may be used, such as determining a position and orientation of a valve region with one classifier, determining a regurgitant orifice with another classifier, and locating mitral valve anatomy with a third classifier. One or more features for some of the classifiers may be calculated based on the orientation of the valve region.