Jianming L Liang from 8129 E Clinton St, Scottsdale, AZ 85260, age 59

Us Patents

Toboggan-Based Shape Characterization
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US Patent:

7480412, Jan 20, 2009
Filed:

Dec 7, 2004
Appl. No.:

11/006282
Inventors:

Jianming Liang - Paoli PA, US
Luca Bogoni - Philadelphia PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/46
US Classification:

382190, 382195, 382199, 382203, 382225
Abstract:

A method and apparatus for characterizing an image. The method selects one or more toboggan potentials from the image, or a portion thereof, to be tobogganed. It toboggans the selected toboggan potentials to generate one or more toboggan parameters, forming at least one toboggan cluster using one or more of the toboggan parameters. It also selects one or more of the toboggan clusters to compute at least one feature parameter to characterize the image or a portion thereof.

System And Method For Toboggan Based Object Segmentation Using Divergent Gradient Field Response In Images
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US Patent:

7526115, Apr 28, 2009
Filed:

Feb 22, 2005
Appl. No.:

11/062411
Inventors:

Luca Bogoni - Philadelphia PA, US
Jianming Liang - Paoli PA, US
Senthil Periaswamy - Exton PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/00
US Classification:

382131, 382173
Abstract:

A method and device for segmenting one or more candidates in an image having image elements is disclosed. The method includes identifying a location for one of the candidates in the image, where the location is based at a given image element, and computing one or more response values at neighboring image elements that are in a neighborhood of the location. Image element clusters are created from the computed response values and one or more of the image element clusters are selected as object segmentations for one or more of the candidates.

System And Method For Dynamic Fast Tobogganing
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US Patent:

7565009, Jul 21, 2009
Filed:

Jun 6, 2005
Appl. No.:

11/145887
Inventors:

Jianming Liang - Paoli PA, US
Luca Bogoni - Philadelphia PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/34
US Classification:

382173, 382164, 382180
Abstract:

A method of identifying an object in a digital image includes finding a point in a digital image that is a concentration location, initializing a cluster with said concentration location, adding the neighboring points of the concentration location to a list, selecting a neighbor point with an extremal potential value from said list, determining a slide direction of all neighbors of said selected point and identifying those neighbors that slide to the selected point, adding those neighbor points not already in the list to the list, adding the selected point to the cluster, and repeating the steps of selecting a neighbor point with an extremal potential value, determining a slide direction, adding points to the list, and adding the selected point to the cluster, until the list is empty.

System And Method For Toboggan-Based Object Segmentation Using Distance Transform
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US Patent:

7609887, Oct 27, 2009
Filed:

Jun 6, 2005
Appl. No.:

11/145888
Inventors:

Jianming Liang - Paoli PA, US
Luca Bogoni - Philadelphia PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/34
US Classification:

382173, 382164, 382180
Abstract:

A method of segmenting an object in a digital image comprising providing a digital image comprising a plurality of intensities corresponding to a domain of points in a N-dimensional space, selecting a region of interest in the image, determining a threshold intensity value for points in said region of interest, wherein an object of interest is defined by points with an intensity above a first pre-determined threshold, computing a distance map for each point in said object of interest, tobogganing each point in said object of interest based on said distance map, and selecting a cluster based on the results of said tobogganing.

Method Of Multiple Instance Learning And Classification With Correlations In Object Detection
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US Patent:

7822252, Oct 26, 2010
Filed:

Nov 26, 2007
Appl. No.:

11/944827
Inventors:

Jinbo Bi - Chester Springs PA, US
Jianming Liang - Chester Springs PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

A61B 6/03
G01N 23/083
US Classification:

382130, 378 4, 382154, 600410, 600425
Abstract:

A method for detecting an object within a structure includes performing tobogganing on image data to obtain one or more voxel clusters and to provide a rough indication of the structure. Each of the obtained voxel clusters is characterized as an object candidate and a set of features are determined for each object candidate. Correlations between pairs of the object candidates are measured. Each of the object candidates is classified as either a true object or a non-object based on the set of features and the measured correlations.

System And Method For Toboggan-Based Object Detection In Cutting Planes
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US Patent:

7912294, Mar 22, 2011
Filed:

May 25, 2006
Appl. No.:

11/440780
Inventors:

Luca Bogoni - Philadelphia PA, US
Jianming Liang - Paoli PA, US
Pascal Cathier - Bures, FR
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/46
G06K 9/00
US Classification:

382195, 382131
Abstract:

A system and method for toboggan-based object detection in cutting planes are provided. A method for detecting an object in an image includes: determining a region of interest (ROI) in the image; determining a toboggan potential for each image element in the ROI; extracting a plurality of cutting planes from the ROI; and performing a tobogganing in the cutting planes to form a toboggan cluster to determine a location of the object, wherein image elements inside the toboggan cluster are stored in a cluster-member list, image elements on an outer-border of the toboggan cluster are stored in an outer-border list and image elements on an inner-border of the toboggan cluster are stored in an inner-border list.

System And Method For Computer Aided Detection Of Pulmonary Embolism In Tobogganing In Ct Angiography
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US Patent:

8036440, Oct 11, 2011
Filed:

Jan 30, 2008
Appl. No.:

12/022548
Inventors:

Jianming Liang - Chester Springs PA, US
Jinbo Bi - Chester Springs PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/00
G06K 9/34
US Classification:

382131, 382173
Abstract:

A method for detecting pulmonary embolisms in computed tomographic (CT) angiography includes providing a digitized (CT) image acquired from inside a pulmonary vessel, the image comprising a plurality of intensities corresponding to a 3-dimensional grid of voxels, for each voxel in the image, extracting a first pulmonary embolism (PE) candidate and PE boundary from the voxel, and for each voxel in the PE boundary, selecting a voxel from the PE boundary, extracting a subsequent PE candidate and PE boundary from the voxel, merging the subsequent PE candidate with the first PE candidate, and merging the subsequent PE boundary with the first PE boundary.

Reduction Of Lymph Tissue False Positives In Pulmonary Embolism Detection
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US Patent:

8126229, Feb 28, 2012
Filed:

Jul 30, 2008
Appl. No.:

12/182320
Inventors:

Bernard S. Ghanem - Champaign IL, US
Jianming Liang - Chester Springs PA, US
Jinbo Bi - Chester Springs PA, US
Assignee:

Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:

G06K 9/00
US Classification:

382128
Abstract:

A system for automatically detecting pulmonary emboli from medical image data includes receiving image data, automatically detecting one or more pulmonary embolism candidates from the image data, segmenting an airway tract from the image data, segmenting an artery structure from the image data, calculating a distance between each of the candidates and a nearest portion of the segmented airway, determining whether each of the candidates is within or outside of the segmented artery structure, rejecting candidates based on the calculated distance between each of the candidates and the nearest portion of the segmented airway and the determination as to whether each of the candidates is within or outside of the segmented artery structure, and indicating the location of the non-rejected candidates within the image data.