Li Fan

US Patent:

6738063, May 18, 2004

Filed:

Feb 7, 2002

Appl. No.:

10/071003

Inventors:

Hong Shen - Plainsboro NJ
Jianzhong Qian - Princeton Junction NJ
Li Fan - Plainsboro NJ

Assignee:

Siemens Corporate Research, Inc. - Princeton NJ

International Classification:

G06T 1700

US Classification:

345424, 345420, 345593, 345594, 382130, 382154

Abstract:

Disclosed is a method for object correspondence identification between two image sets, said method steps comprising roughly aligning the two image sets, receiving a selected point in said one image set, locating a rough matching point in said another image, defining a first volume-of-interest around said selected point, defining a search window around said matching point comprising a plurality of neighboring points, for every point in said search window, defining a second volume-of-interest, computing the similarity between each said second volume-of-interest with said first volume-of-interest, and selecting that second volume-of-interest that is most similar to said first volume-of-interest.

US Patent:

6993174, Jan 31, 2006

Filed:

Sep 7, 2001

Appl. No.:

09/947629

Inventors:

Li Fan - Plainsboro NJ, US
Benjamin Odry - Princeton NJ, US
Jianzhong Qian - Princeton Junction NJ, US

Assignee:

Siemens Corporate Research, Inc - Princeton NJ

International Classification:

G06K 9/00

US Classification:

382131, 382173, 382256

Abstract:

Segmentation of pulmonary nodules from digital volumetric image includes segmenting, automatically, the pulmonary nodule from attached anatomical structures by analyzing a structure of interest, and providing a template according to an analyzed structure of interest, wherein the template displays a segmentation of a volume of interest including an object of interest. The template can be adjusted according to a one or more adjustable parameters. The method stores values of the parameters according to the object of interest, and stores a segmentation of the object of interest according to the values of the parameters. The segmentation is refined by extracting and labeling surrounding anatomical structures, defining each structure touching a boundary of a volume of interest as an elongated object, determining a size and shape for each structure, and determining a distance of a current structure to the segmentation result, upon determining the distance to be small compared to a threshold.

US Patent:

7203349, Apr 10, 2007

Filed:

Jan 29, 2002

Appl. No.:

10/059848

Inventors:

Li Zhang - Plainsboro NJ, US
Li Fan - Plainsboro NJ, US
Jianzhong Qian - Princeton Junction NJ, US

Assignee:

Siemens Corporate Research, Inc. - Princeton NJ

International Classification:

G06K 9/00

US Classification:

382128, 128922, 378 4

Abstract:

A system and method for automatically reducing false-positive nodule candidates associated with airways includes receiving a nodule candidate, testing for airway cavities connected to the candidate, and recognizing the candidate as a false-positive nodule candidate if it is connected to an airway cavity; where the testing may include perpendicular testing for airways that are relatively perpendicular to an examination plane and parallel testing for airways that are relatively parallel to an examination plane.

US Patent:

7296239, Nov 13, 2007

Filed:

Mar 4, 2002

Appl. No.:

10/090314

Inventors:

Hong Shen - Plainsboro NJ, US
Jianzhong Qian - Princeton Junction NJ, US
Li Fan - Plainsboro NJ, US

Assignee:

Siemens Corporate Research, Inc. - Princeton NJ

International Classification:

G06F 15/00
G06F 13/00

US Classification:

715764, 715732

Abstract:

Disclosed is a graphical user interface, comprising a plurality of main displays, each for displaying an image set, a user interactive system for receiving from a user a first location of an object-of-interest in one of said image sets, and a correlation system for finding and displaying a second location, corresponding to said first location, of a corresponding second volume-of-interest in at least one of said other image sets.

US Patent:

20020028008, Mar 7, 2002

Filed:

Apr 23, 2001

Appl. No.:

09/840266

Inventors:

Li Fan - Plainsboro NJ, US
Jainzhong Qian - Princeton NJ, US
Carol Novak - Newton PA, US

International Classification:

G06K009/62
G06K009/34
G06K009/00

US Classification:

382/131000, 382/170000, 382/173000, 382/224000

Abstract:

A method for automatically detecting lung nodules from MSHR CT images includes defining a volume of interest (VOI) for a lung volume in an MSHR CT image. The lung volume is examined using the VOI, including, determining a local histogram of intensity and adaptive threshold values for segmenting the VOI to obtain seeds. Each seed is examined to detect lung nodules therefrom, including segmenting anatomical structures represented by the seed by applying a segmentation method that adaptively adjusts a segmentation threshold value based on histogram analysis of the seed to extract the structures based on three-dimensional connectivity and histogram intensity information, and classifying each structure as a lung nodule or a non-nodule based on a priori knowledge corresponding to lung nodules and related structures. The lung nodules are displayed. The lung nodules are analyzed, including automatically quantifying lung nodule features to provide an automatic detection decision.

US Patent:

20030105395, Jun 5, 2003

Filed:

Dec 5, 2001

Appl. No.:

10/008133

Inventors:

Li Fan - Plainsboro NJ, US
Jianzhong Qian - Princeton Junction NJ, US

International Classification:

A61B005/05

US Classification:

600/425000

Abstract:

A system and method for automatically generating potentially vessel-feeding pulmonary nodule candidates from multi-detector, thin-slice high resolution computed tomography images include a volume examination unit for providing a plurality of images defining a lung volume and examining the lung volume to generate a list of seed objects; a volume of interest generator for selecting a seed from the list and defining a volume of interest comprising the seed within the lung volume; a seed examination unit for extracting a structure of interest comprising the seed from the volume of interest, analyzing the structure of interest by automatically quantifying features therein, and updating the list of seed objects to exclude all unexamined seed objects contained in the current structure of interest under examination; and a candidate generator for generating a candidate from the structure of interest if its features meet preset criteria and providing geometric characteristics of the candidate to other algorithms for detecting pulmonary nodules.

US Patent:

20060094954, May 4, 2006

Filed:

Jan 21, 2005

Appl. No.:

11/038491

Inventors:

Li Fan - Belle Mead NJ, US
Jianzhong Qian - Princeton Junction NJ, US
Cheng-Chung Liang - West Windsor NJ, US

Assignee:

EDDA Technology, Inc. - Princeton Junction NJ

International Classification:

A61B 5/05
A61B 5/05

US Classification:

600425000

Abstract:

The present invention describes a method and system for intelligent diagnostic relevant information processing and analysis. Information associated with a patient is processed via an image reading platform. Based on such processed information, a matrix of diagnosis decisions containing diagnostic related information is generated via a matrix of diagnosis decision platform. A diagnostic decision is made based on the diagnostic relevant information. The image reading platform and/or the matrix of diagnosis decision platform encapsulate information and toolkits to be used to manipulate the information.

US Patent:

20070055455, Mar 8, 2007

Filed:

Jun 26, 2006

Appl. No.:

11/474505

Inventors:

Li Fan - Belle Mead NJ, US
Feng Ma - Pennington NJ, US
Jianzhong Qian - Princeton Junction NJ, US
Cheng-Chung Liang - West Windsor NJ, US
Xiaolan Zeng - Princeton NJ, US

International Classification:

G06F 19/00

US Classification:

702019000, 702022000

Abstract:

A method and system provided for interactive liver data processing. A vessel system with a plurality of vessel branches is obtained. Centerlines for the vessel branches are extracted and used to construct a graph representation of the vessel system. Each vessel branch in the vessel system can be labeled based on the graphic representation.