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Qiang Li

from Chicago, IL
Age ~60
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Related to:
Xing Gui HuangYuye Li, 58Leon Wu, 44Hou F Zheng, 57Xuan V Luu, 58Xia Fok CaiAmy F Li, 52Peijun J Li, 66Lisa Y Zeng, 45Ciaxia Li, 60Pei L Li, 72
Connected to:
Ai Q Li, 64Ai H Li, 81Aida Li, 67Aijun Li, 65Aiwen Q Li, 56Aiyan Li, 61Alan Li, 80Alice Li, 46Alida Li, 59Alisha Li, 31

Qiang Li Phones & Addresses

  • Chicago, IL

Professional Records

Lawyers & Attorneys

Qiang Li Photo 1

Qiang Li - Lawyer

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Address:
O'Melveny & Myers LLP
(212) 307-7000 (Office)
Licenses:
New York - Currently registered 1998
Education:
Columbia Law School
Specialties:
Corporate / Incorporation - 34%
Construction / Development - 33%
Energy / Utilities - 33%
Qiang Li Photo 2

Qiang Li - Lawyer

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Address:
Paul Hastings LLP
(108) 567-5300 (Office)
Licenses:
New York - Currently registered 2012
Education:
Harvard Law School

Medicine Doctors

Qiang Li Photo 3

Qiang Li

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Specialties:
Cardiovascular Disease, Nuclear Cardiology
Work:
Providence Medical GroupProvidence Cardiology
1800 Cooks Hl Rd STE D, Centralia, WA 98531
(360) 827-7800 (phone), (360) 486-6731 (fax)

Providence Medical GroupProvidence Cardiology Associates
500 Lilly Rd NE STE 100, Olympia, WA 98506
(360) 413-8525 (phone), (360) 486-6731 (fax)
Education:
Medical School
Szechwan Med Coll, Chengtu, China
Graduated: 1987
Procedures:
Cardioversion
Pacemaker and Defibrillator Procedures
Angioplasty
Cardiac Catheterization
Cardiac Stress Test
Continuous EKG
Echocardiogram
Electrocardiogram (EKG or ECG)
Conditions:
Cardiac Arrhythmia
Cardiomyopathy
Conduction Disorders
Mitral Valvular Disease
Acute Myocardial Infarction (AMI)
Languages:
English
Description:
Dr. Li graduated from the Szechwan Med Coll, Chengtu, China in 1987. He works in Olympia, WA and 1 other location and specializes in Cardiovascular Disease and Nuclear Cardiology. Dr. Li is affiliated with Providence Centralia Hospital and Providence St Peter Hospital.
Qiang Li Photo 4

Qiang Li

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Specialties:
Diagnostic Radiology, Neuroradiology
Work:
Imaging Services MRI
1220 S Cedar Crst Blvd, Allentown, PA 18103
(610) 740-9500 (phone), (610) 740-0288 (fax)

Lehigh Valley Diagnostic ImagMedical Imaging Of Lehigh Valley
1255 S Cedar Crst Blvd STE 3600, Allentown, PA 18103
(610) 770-1606 (phone), (610) 740-0560 (fax)

Medical Imaging Of Lehigh Valley PC
17 & Chew St 3600, Allentown, PA 18104
(610) 770-1606 (phone), (610) 740-0560 (fax)
Education:
Medical School
Henan Med Univ, Zhengzhou City, Henan, China
Graduated: 1989
Procedures:
Arthrocentesis
Lumbar Puncture
Languages:
English
Description:
Dr. Li graduated from the Henan Med Univ, Zhengzhou City, Henan, China in 1989. He works in Allentown, PA and 2 other locations and specializes in Diagnostic Radiology and Neuroradiology. Dr. Li is affiliated with Lehigh Valley Hospital 17Th Street, Lehigh Valley Hospital Cedar Crest, Pocono Medical Center and Sacred Heart Hospital.
Qiang Li Photo 5

Qiang Li

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Specialties:
Urology

Business Records

Name / Title
Company / Classification
Phones & Addresses
Qiang Li
Director, Secretary
Trunkbow International Holdings Limited
Qiang Li
LAUNDRY QUEEN 2 INC

Publications

Us Patents

Process, System And Computer Readable Medium For Pulmonary Nodule Detection Using Multiple-Templates Matching

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US Patent:
6470092, Oct 22, 2002
Filed:
Nov 21, 2000
Appl. No.:
09/716335
Inventors:
Qiang Li - Clarendon Hills IL
Shigehiko Katsuragawa - Oita, JP
Kunio Doi - Willowbrook IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
G06K 900
US Classification:
382132, 382218
Abstract:
A method to determine whether a candidate abnormality in a medical digital image is an actual abnormality, a system which implements the method, and a computer readable medium which stores program steps to implement the method, wherein the method includes obtaining a medical digital image including a candidate abnormality; obtaining plural first templates and plural second templates respectively corresponding to predetermined abnormalities and predetermined non-abnormalities; comparing the candidate abnormality with the obtained first and second templates to derive cross-correlation values between the candidate abnormality and each of the obtained first and second templates; determining the largest cross-correlation value derived in the comparing step and whether the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates or with the second templates; and determining the candidate abnormality to be an actual abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates and determining the candidate abnormality to be a non-abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the second templates. An actual abnormality is similarly classified as malignant or benign based on further cross-correlation values obtained by comparisons with additional templates corresponding to malignant and benign abnormalities.

Method, System And Computer Readable Medium For Computerized Processing Of Contralateral And Temporal Subtraction Images Using Elastic Matching

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US Patent:
6594378, Jul 15, 2003
Filed:
Oct 20, 2000
Appl. No.:
09/692218
Inventors:
Qiang Li - Clarendon Hills IL
Shigehiko Katsuragawa - Chicago IL
Kunio Doi - Willowbrook IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
G06K 900
US Classification:
382128, 128922, 382130
Abstract:
A method, system and computer readable medium of computerized processing of chest images including obtaining digital first and second images of a chest and detecting rib edges in at least one of the first and second images. The rib edges are detected by correlating points in the at least one of the first and second images to plural rib edge models using a Hough transform to identify approximate rib edges in one of the images, and delineating actual rib edges derived from the identified approximate rib edges using a snake model. The method system and computer readable medium further include deriving the shift values using the actual rib edges and warping one of the first and second images to produce a warped image which is registered to the other of the first and second images based at least in part on the shift values.

Process, System And Computer Readable Medium For Pulmonary Nodule Detection Using Multiple-Templates Matching

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US Patent:
6683973, Jan 27, 2004
Filed:
Aug 30, 2002
Appl. No.:
10/231064
Inventors:
Qiang Li - Clarendon Hills IL
Shigehiko Katsuragawa - Oita, JP
Kunio Doi - Willowbrook IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
G06K 900
US Classification:
382132, 382218
Abstract:
A method to determine whether a candidate abnormality in a medical digital image is an actual abnormality, a system which implements the method, and a computer readable medium which stores program steps to implement the method, wherein the method includes obtaining a medical digital image including a candidate abnormality; obtaining plural first templates and plural second templates respectively corresponding to predetermined abnormalities and predetermined non-abnormalities; comparing the candidate abnormality with the obtained first and second templates to derive cross-correlation values between the candidate abnormality and each of the obtained first and second templates; determining the largest cross-correlation value derived in the comparing step and whether the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates or with the second templates; and determining the candidate abnormality to be an actual abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates and determining the candidate abnormality to be a non-abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the second templates. An actual abnormality is similarly classified as malignant or benign based on further cross-correlation values obtained by comparisons with additional templates corresponding to malignant and benign abnormalities.

Computerized Method For Determination Of The Likelihood Of Malignancy For Pulmonary Nodules On Low-Dose Ct

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US Patent:
6891964, May 10, 2005
Filed:
Nov 23, 2001
Appl. No.:
09/990310
Inventors:
Kunio Doi - Willowbrook IL, US
Masahito Aoyama - Hiroshima, JP
Qiang Li - Clarendon Hills IL, US
Assignee:
University of Chicago - Chicago IL
International Classification:
G06K009/00
G06K009/48
G06K009/40
US Classification:
382131, 382132, 382170, 382199
Abstract:
An automated computerized scheme for determination of the likelihood of malignancy in pulmonary nodules. The present invention includes steps of obtaining at least one computed tomography medical image of a pulmonary nodule in determining if the pulmonary nodule is malignant based on the examination of seven patient or image features. The method can be implemented when instructions are loaded into a computer to program the computer. The significance of employing seven patient or image features is that statistically, seven features are the most practical based on the unique implementation of statistical analysis. Out of the seven features that are now analyzed to determine if a pulmonary nodule is malignant, these features are selected to optimize the accuracy of the diagnosis of a pulmonary nodule. Through a unique sampling scheme, different embodiments of the present invention utilize different combinations of features to optimize the accuracy of the method of the present invention.

Method, System, And Computer Program Product For Computer-Aided Detection Of Nodules With Three Dimensional Shape Enhancement Filters

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US Patent:
6937776, Aug 30, 2005
Filed:
Jan 31, 2003
Appl. No.:
10/355147
Inventors:
Qiang Li - Clarendon Hills IL, US
Kunio Doi - Willowbrook IL, US
Assignee:
University of Chicago - Chicago IL
International Classification:
G06F009/40
US Classification:
382260, 382131
Abstract:
A method, system, and computer program product for evaluating an image including an object, including filtering image data derived from the image with a first geometric enhancement filter having magnitude and likelihood filter components so as to produce first filtered image data in which a first geometric pattern is enhanced. Thereafter the filtered image data can be subjected to processing to derive a measure indicative of the presence of the object in the image, including determining a region of interest in the image, extracting at least one feature from the first filtered image data from within the region of interest, and applying the at least one extracted feature to a classifier configured to output the measure indicative of the presence of the object in the image. The image data can also be subjected to filtering with second and/or third geometric filters which enhance different geometric patterns, and which produce respective filtered data which are also processed to derive the measure indicative of the presence of the object.

System For Computerized Processing Of Chest Radiographic Images

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US Patent:
7043066, May 9, 2006
Filed:
Nov 5, 1999
Appl. No.:
09/830562
Inventors:
Kunio Doi - Willowbrook IL, US
Qiang Li - Clarendon Hills IL, US
Shigehiko Katsuragawa - Morioka, JP
Takayuki Ishida - Hiroshima, JP
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
G06K 9/00
US Classification:
382132, 382308, 382291, 382294
Abstract:
A method, system and computer readable medium for computerized processing of chest images including obtaining a digital first image of a chest (S); producing a second image which is a mirror image (S) of the first image; performing image warping on one of the first and second images to produce a warped image (S) which is registered to the other of the first and second images; and subtracting the warped image from the other image to generate a subtraction image (S). Another embodiment includes obtaining a digital first image of the chest of a subject; detecting ribcage edges on both sides of the lungs in the first chest image; determining average horizontal locations of the left and right ribcage edges at plural vertical locations; fitting the determined average horizontal locations to a straight line to derive a midline; rotating the chest image so that the midline is vertical; and shifting the rotated image to produce a lateral inclination corrected (S) second image with the midline centered in the lateral inclination corrected image.

Computerized Scheme For Distinguishing Between Benign And Malignant Nodules In Thoracic Computed Tomography Scans By Use Of Similar Images

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US Patent:
20030103663, Jun 5, 2003
Filed:
Nov 23, 2001
Appl. No.:
09/990377
Inventors:
Qiang Li - Clarendon Hills IL, US
Kunio Doi - Willowbrook IL, US
Assignee:
University of Chicago - Chicago IL
International Classification:
G06K009/00
US Classification:
382/131000
Abstract:
A computerized scheme to assist radiologists in improving the diagnostic accuracy for abnormalities (e.g., nodules) in medical images by use of similar images for malignant abnormalities and benign abnormalities. The method includes developing a database of medical images which includes both confirmed cancers and confirmed benign abnormalities; obtaining a medical image including at least one abnormality; selecting at least one feature for comparison from an unknown abnormality and at least one known abnormality, respectively; determining a similarity measure between an unknown, undiagnosed abnormality and at least one of the previously diagnosed abnormalities; and selecting from the database of known abnormalities at least one known abnormality for comparison with the unknown abnormality in order to determine a likelihood of malignancy. In one embodiment, an artificial neural network is employed to determine a similarity measure between an unknown nodule and at least one known nodule.

Computer-Aided Method For Detection Of Interval Changes In Successive Whole-Body Bone Scans And Related Computer Program Program Product And System

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US Patent:
20080298657, Dec 4, 2008
Filed:
Nov 22, 2006
Appl. No.:
12/094161
Inventors:
Junji Shiraishi - Lyons IL, US
Kunio Doi - Willowbrook IL, US
Daniel Appelbaum - Chicago IL, US
Yonglin Pu - Chicago IL, US
Qiang Li - Naperville IL, US
International Classification:
G06K 9/00
US Classification:
382130
Abstract:
A method of producing an image to aid detection of a change in progress of a disease in a patient is described. In the method, a first image of a distribution of a radioisotope in the patient is obtained. A second image of the distribution of the radioisotope in the patient is also obtained. At least one of the first and second images are then normalized (1:140). One of the images is warped to match the other image using a multiple-segment matching method (1:160). The first image is subtracted from the second image to form a subtraction image (1:220). Finally, the resulting subtraction image is displayed.
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Qiang Li from Chicago, IL, age ~60 Get Report