Zhongmin Lin

US Patent:

8010381, Aug 30, 2011

Filed:

May 20, 2008

Appl. No.:

12/123947

Inventors:

Saad Ahmed Sirohey - Pewaukee WI, US
Gopal B. Avinash - Menomonee Falls WI, US
Fausto J. Espinal - Waukesha WI, US
Zhongmin Lin - New Berlin WI, US
Ananth Mohan - Waukesha WI, US
Tamanna Bembenek - Naperville IL, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G06Q 10/00

US Classification:

705 2, 705 3

Abstract:

A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient deviation data of a structural difference between a patient anatomical feature and a standardized anatomical feature. The method may also include comparing the patient deviation data to reference deviation data sets representative of multiple disease types. Each reference deviation data set may be representative of an expected deviation from the standardized anatomical feature for a particular disease type. The method may further include automatically identifying one or more potential patient disease types based at least in part on the comparison. Additional methods, systems, and manufactures are also disclosed.

US Patent:

8099299, Jan 17, 2012

Filed:

May 20, 2008

Appl. No.:

12/123824

Inventors:

Saad Ahmed Sirohey - Pewaukee WI, US
Gopal B. Avinash - Menomonee Falls WI, US
Fausto J. Espinal - Waukesha WI, US
Zhongmin Lin - New Berlin WI, US
Ananth Mohan - Waukesha WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G06Q 10/00
A61B 5/05
G06K 9/00
H04N 15/00

US Classification:

705 2, 600407, 382132, 382154, 348 47

Abstract:

A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing individual patient deviation maps indicative of a structural difference and a functional difference, respectively, of at least one anatomical region of a patient with respect to standardized reference image data. The method may also include generating a composite patient deviation map indicative of both the structural difference and the functional difference based on at least the individual patient deviation maps, and outputting the composite patient deviation map. Additional methods, systems, and manufactures are also disclosed.

US Patent:

8180125, May 15, 2012

Filed:

May 20, 2008

Appl. No.:

12/123911

Inventors:

Gopal B. Avinash - Menomonee Falls WI, US
Saad Ahmed Sirohey - Pewaukee WI, US
Fausto J. Espinal - Waukesha WI, US
Zhongmin Lin - New Berlin WI, US
Ananth Mohan - Waukesha WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G06K 9/18
G06Q 50/00

US Classification:

382128, 705 3

Abstract:

A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient image and non-image deviation scores derived through respective comparisons of patient image and non-image data to standardized image and non-image data. The method may also include processing the image and non-image deviation scores to generate a visual output indicative of differences between the patient image and non-image data, and the standardized image and non-image data, respectively. Further, the method may include displaying the visual output. Additional methods, systems, and manufactures are also disclosed.

US Patent:

8430816, Apr 30, 2013

Filed:

May 20, 2008

Appl. No.:

12/123918

Inventors:

Gopal B. Avinash - Menomonee Falls WI, US
Saad Ahmed Sirohey - Pewaukee WI, US
Fausto J. Espinal - Waukesha WI, US
Zhongmin Lin - New Berlin WI, US
Ananth Mohan - Waukesha WI, US
Tamanna Bembenek - Naperville IL, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G06K 9/00
G06K 6/20
G06K 9/36
G06K 9/46
G06K 9/62
G06K 9/66
A61B 5/00
A61B 5/05

US Classification:

600300, 382132, 382195, 382209, 382250, 382282, 382128, 600407

Abstract:

A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing reference deviation maps for a plurality of disease types. The reference deviation maps may include subsets of maps associated with severity levels of respective disease types, and a disease severity score may be associated with each severity level. The method may include selecting patient severity levels for multiple disease types based on the subsets of reference deviation maps. Also, the method may include automatically calculating a combined patient disease severity score based at least in part on the disease severity scores associated with the selected patient severity levels, and may include outputting a report based at least in part on the combined patient disease severity score. Additional methods, systems, and manufactures are also disclosed.

US Patent:

8477153, Jul 2, 2013

Filed:

Aug 24, 2011

Appl. No.:

13/217082

Inventors:

Zhongmin Lin - Waukesha WI, US
Gopal Avinash - Waukesha WI, US
Patrick Michael Virtue - Albany CA, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G09G 5/00
G06T 15/00

US Classification:

345624, 345419

Abstract:

A method for extracting a three-dimensional (3D) volume of interest from a three-dimensional (3D) image dataset includes accessing a 3D image dataset that includes a plurality of image slices, enclosing a 3D volume of interest in the 3D image dataset using a 3D mesh, automatically extracting the 3D volume of interest based on the 3D mesh, and generating a 3D image of the extracted 3D volume of interest. A computer and a non-transitory computer readable medium are also described herein.

US Patent:

8588486, Nov 19, 2013

Filed:

Jun 18, 2009

Appl. No.:

12/487166

Inventors:

Patrick Michael Virtue - Waukesha WI, US
Gopal B. Avinash - Menomonee Falls WI, US
Zhongmin S. Lin - New Berlin WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G06K 9/00

US Classification:

382128, 382130, 382131

Abstract:

A system, method, and apparatus includes a computer readable storage medium with a computer program stored thereon having instructions that cause a computer to access a first anatomical image data set of an imaging subject acquired via a morphological imaging modality, access a functional image data set of the imaging subject acquired via a functional imaging modality, register the first anatomical image data set to the functional image data set, segment the functional image data set based on the functional image data set, define a binary mask based on the segmented functional image data set, and apply the binary mask to the first anatomical image data set to construct a second anatomical image data set and an image based thereon. The second anatomical image data set is substantially free of image data of the first anatomical image data set correlating to an area outside the region of physiological activity.

US Patent:

20100130848, May 27, 2010

Filed:

Nov 26, 2008

Appl. No.:

12/324498

Inventors:

Zhongmin Steve Lin - New Berlin WI, US
Gopal Avinash - Menomonee Falls WI, US
Saad Sirohey - Pewaukee WI, US
Ananth Mohan - Waukesha WI, US
Satoshi Minoshima - Seattle WA, US

International Classification:

A61B 5/055

US Classification:

600410

Abstract:

Methods and apparatus for determining brain cortical thickness. One method includes determining an intensity profile at each of a plurality of cortical surface points of an imaged brain using brain tissue image data and calculating a cortical thickness based on a parametrically determined transition point of each intensity profile.

US Patent:

20110129129, Jun 2, 2011

Filed:

Nov 30, 2009

Appl. No.:

12/627154

Inventors:

Gopal Biligeri Avinash - Menomonee Falls WI, US
Saad Ahmed Sirohey - Pewaukee WI, US
Zhongmin Steve Lin - New Berlin WI, US
Ananth Mohan - Waukesha WI, US

Assignee:

GENERAL ELECTRIC COMPANY - Schenectady NY

International Classification:

G06K 9/00

US Classification:

382128

Abstract:

A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.