Sandeep Mukta Gupta

US Patent:

6687528, Feb 3, 2004

Filed:

Sep 28, 2001

Appl. No.:

09/967297

Inventors:

Sandeep N. Gupta - Baltimore MD
Garth M. Beache - Baltimore MD
Daniel A. Herzka - Silver Spring MD

Assignee:

GE Medical Systems Global Technology Company LLC - Waukesha WI
John Hopkins University - Baltimore MD

International Classification:

A61B 5055

US Classification:

600410, 382294, 382131, 382278

Abstract:

The present invention is a method and apparatus for semi-automatically registering low signal to noise ratio relaxation-time images, with particular application to tracking motion in moving organs and quantifying myocardial perfusion reserve. For each image acquired in a time series, a corresponding high signal to noise ratio image is extrapolated from the collected data. The high signal to noise ratio images are registered to track motion, and the resulting registration data is copied onto the corresponding relaxation time image.

US Patent:

7280862, Oct 9, 2007

Filed:

Aug 18, 2004

Appl. No.:

10/711025

Inventors:

Sandeep Narendra Gupta - Hanover MD, US
Glenn Scott Slavin - Silver Spring MD, US
Thomas Kwok-Fah Foo - Potomac MD, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

A61B 5/05
A61B 5/02

US Classification:

600410, 600425, 600481, 600407

Abstract:

A system and a method for obtaining a digital image of a heart of a person are provided. The system scans an internal anatomy of a chest region of the person to obtain scanning data. The system further generates a digital image of four chambers of the heart based on the scanning data.

US Patent:

7620227, Nov 17, 2009

Filed:

Dec 29, 2005

Appl. No.:

11/321510

Inventors:

David Thomas Gering - Waukesha WI, US
Gopal B. Avinash - New Berlin WI, US
Sandeep N. Gupta - Hanover MD, US

Assignee:

General Electric Co. - Schenectady NY

International Classification:

G06K 9/00
A61B 5/05

US Classification:

382128, 382154, 600400

Abstract:

A computer-aided detection system for evaluating tissue based on a series of timed images acquired both before and after a contrast agent is administered performs a temporal analysis of the tissue and then a spatial analysis in which the tissue is categorized. After the temporal and spatial analysis is performed, the results can be displayed. The displayed results can include both tissue characterization results, underlying curves used to determine the characterization, and confidence data regarding how good the characterization is expected to be. The confidence data can be provided, for example, by using variations in color schemes, displaying numerical confidence levels, or providing graphical features such as piecewise linear models.

US Patent:

20080150532, Jun 26, 2008

Filed:

Dec 21, 2006

Appl. No.:

11/614593

Inventors:

Glenn Scott Slavin - Silver Spring MD, US
Sandeep Narendra Gupta - Hanover MD, US

Assignee:

GENERAL ELECTRIC COMPANY - Schenectady NY

International Classification:

G01R 33/50
G01R 33/48

US Classification:

324318, 702 19

Abstract:

A method for rapid measurement of T relaxation comprises a gated, multi-time-point saturation-recovery experiment. Each saturation-recovery experiment may include multiple gating intervals to increase dynamic range of the T measurement. Multiple saturation-recovery experiments may also be used to improve accuracy and signal-to-noise of the T measurement.

US Patent:

62926837, Sep 18, 2001

Filed:

May 18, 1999

Appl. No.:

9/313910

Inventors:

Sandeep Narendra Gupta - Baltimore MD
Marshall Sussman - Toronto, CA
Graham Wright - Toronto, CA

Assignee:

General Electric Company - Milwaukee WI

International Classification:

A61B 5055

US Classification:

600410

Abstract:

The present invention relates to magnetic resonance imaging (MRI) and includes a method and apparatus to track motion of anatomy or medical instruments, for example, between MR images. The invention includes acquiring a time series of MR images of a region of interest, where the region of interest contains the anatomy or structure that is prone to movement, and the MR images contain signal intensity variations. The invention includes identifying a local reference region in the region of interest of a reference image and acquired from the time series. The local reference region of the reference image is compared to that of the other MR images and a translational displacement is determined between the local reference region of the reference image and of another MR image. The translational displacement has signal intensity invariance and can accurately track anatomy motion or the movement of a medical instrument during an invasive procedure. The translational displacement can be used to align the images for automatic registration, such as in myocardial perfusion imaging, MR angiography, fMRI, or in any other procedure in which motion tracking is advantageous.