Jianming L Liang from 8129 E Clinton St, Scottsdale, AZ 85260, age 55

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 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 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.

Reducing False Positives For Automatic Computerized Detection Of Objects
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US Patent:

8160336, Apr 17, 2012
Filed:

Sep 6, 2006
Appl. No.:

11/516213
Inventors:

Jianming Liang - Paoli PA, US
Zhiyun Xue - Bethlehem PA, US
Marcos Salganicoff - Philadelphia PA, US
Matthias Wolf - Coatesville PA, US
Assignee:

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

G06K 9/00
US Classification:

382131, 382128
Abstract:

A computer-implemented method for identifying an object of interest includes providing input data including an image and a candidate for the object of interest in the image, extracting a boundary of the candidate, and extracting a segment of a region of interest containing the candidate. The method further includes determining a plurality of features of an extracted segment of the region of interest containing the candidate, and outputting the object of interest, wherein the object of interest is characterized by the plurality of features, wherein the object of interest and the plurality of features are stored as computer-readable code.

Computer Aided Detection Of Pulmonary Embolism With Local Characteristic Features In Ct Angiography
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US Patent:

8244012, Aug 14, 2012
Filed:

Mar 5, 2009
Appl. No.:

12/398450
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
US Classification:

382128
Abstract:

A method for computer aided detection of pulmonary emboli includes acquiring medical image data. A pulmonary embolism candidate comprising a cluster of voxels is identified. It is determined whether the candidate is a true pulmonary embolism or a false positive based on a spatial distribution of intensity values for the voxels of the cluster of voxels. The pulmonary embolism candidate is presented to a user when the candidate is determined to be a true pulmonary embolism.