Patents by Inventor Zhigang Peng
Zhigang Peng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9336457Abstract: Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.Type: GrantFiled: December 4, 2013Date of Patent: May 10, 2016Assignee: Siemens Medical Solutions USA, Inc.Inventors: Vikas C. Raykar, Yiqiang Zhan, Maneesh Dewan, Gerardo Hermosillo Valadez, Zhigang Peng, Xiang Sean Zhou
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Publication number: 20160095141Abstract: Example systems, methods, and logic are provided herein for detecting a numerical identifier of an endpoint. In one example, a connectivity manager establishes a wireless communication session with a fixed endpoint using a wireless communication protocol. The connectivity manager module then generates a Phone Book Access Profile (PBAP) request to download a phone number associated with the fixed endpoint. The connectivity manager module receives, via the wireless communication session, a PBAP response comprising a phone number identifying the fixed endpoint and inputs the phone number identifying the fixed endpoint into a field used for initiating a call to the fixed endpoint.Type: ApplicationFiled: September 30, 2014Publication date: March 31, 2016Applicant: CISCO TECHNOLOGY, INC.Inventors: Junhua Ma, Bo Lei, Zhigang Peng, Yanhui Wang, Xiaohui Yu
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Patent number: 9286688Abstract: Disclosed herein is a framework for segmenting articulated structures. In accordance with one aspect, the framework receives a target image, a reference image, statistical shape models, local appearance models and a learned landmark detector. The framework may automatically detect first centerline landmarks along centerlines of articulated structures in the target image using the learned landmark detector. The framework may then determine a non-rigid transformation function that registers second centerline landmarks along centerlines of articulated structures in the reference image with the first centerline landmarks. Mean shapes of the statistical shape models may then be deformed to the target image space by applying the non-rigid transformation function on the mean shapes. The framework may further search for candidate points in the mean shapes using the local appearance models. The mean shapes may be fitted to the candidate points to generate a segmentation mask.Type: GrantFiled: August 4, 2014Date of Patent: March 15, 2016Assignee: Siemens Medical Solutions USA, Inc.Inventors: Fitsum Aklilu Reda, Zhigang Peng, Shu Liao, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Yiqiang Zhan, Xiang Sean Zhou
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Patent number: 9020215Abstract: A method is provided for detecting a corresponding region of interest in digital medical images, the method including receiving a plurality of digital images including a primary image, at least one of the images being a projective image, identifying anatomical landmarks and structures within each of the images and correlating the images based on the identified anatomical landmarks and structures identifying a location of interest in the primary image, and automatically identifying a region of interest in the rest of the images, the region of interest corresponding to the identified location of interest in the primary image.Type: GrantFiled: May 28, 2010Date of Patent: April 28, 2015Assignee: Siemens Medical Solutions USA, Inc.Inventors: Yuanhsi (Tony) Chen, Zhigang Peng, Venkat Raghavan Ramamurthy, Xiang Sean Zhou
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Publication number: 20150043809Abstract: Disclosed herein is a framework for segmenting articulated structures. In accordance with one aspect, the framework receives a target image, a reference image, statistical shape models, local appearance models and a learned landmark detector. The framework may automatically detect first centerline landmarks along centerlines of articulated structures in the target image using the learned landmark detector. The framework may then determine a non-rigid transformation function that registers second centerline landmarks along centerlines of articulated structures in the reference image with the first centerline landmarks. Mean shapes of the statistical shape models may then be deformed to the target image space by applying the non-rigid transformation function on the mean shapes. The framework may further search for candidate points in the mean shapes using the local appearance models. The mean shapes may be fitted to the candidate points to generate a segmentation mask.Type: ApplicationFiled: August 4, 2014Publication date: February 12, 2015Inventors: Fitsum Aklilu Reda, Zhigang Peng, Shu Liao, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Yiqiang Zhan, Xiang Sean Zhou
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Publication number: 20140161337Abstract: Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.Type: ApplicationFiled: December 4, 2013Publication date: June 12, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Vikas C. Raykar, Yiqiang Zhan, Maneesh Dewan, Gerardo Hermosillo Valadez, Zhigang Peng, Xiang Sean Zhou
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Publication number: 20140110136Abstract: The present disclosure relates to a downhole casing expansion tool and to a method of expanding casings using the same. The expansion tool comprises an expansion module for expanding casings and a drive module for driving the expansion module. The diameter of the openhole can be kept consistent by the expansion tool according to the present disclosure, so that monohole well drilling and completion operations can be carried out. The expansion tool according to the present disclosure is particularly suitable for constructions in deep, ultra-deep and complex wells.Type: ApplicationFiled: October 18, 2013Publication date: April 24, 2014Applicants: Drilling Technology Research Institute of Sinopec Oilfield Service Shengli Corporation, China Petroleum & Chemical CorporationInventors: Zuohui LI, Ming TANG, Liugen WU, Jianzhong MA, Peng CAI, Zhigang PENG, Wansheng ZHU, Chenglei TANG, Zhaozheng TENG, Xuetao NING, Haibo ZHU, Xuexiang SHEN
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Patent number: 8406494Abstract: A method of detecting an anatomical primitive in an image volume includes detecting a plurality of transformationally invariant points (TIPS) in the volume, aligning the volume using the TIPs, detecting a plurality landmark points in the aligned volume that are indicative of a given anatomical object, and fitting a target geometric primitive as the anatomical primitive based using the detected landmark points.Type: GrantFiled: July 23, 2009Date of Patent: March 26, 2013Assignee: Siemens Medical Solutions USA, Inc.Inventors: Yiqiang Zhan, Maneesh Dewan, Zhigang Peng, Xiang Sean Zhou
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Patent number: 8369593Abstract: Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.Type: GrantFiled: May 26, 2010Date of Patent: February 5, 2013Assignee: Siemens Medical Solutions USA, Inc.Inventors: Zhigang Peng, Yimo Tao, Xiang Sean Zhou, Yiqiang Zhan, Arun Krishnan
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Patent number: 8160341Abstract: A method for performing a medical imaging study includes acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.Type: GrantFiled: December 15, 2008Date of Patent: April 17, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Zhigang Peng, Yiqiang Zhan, Xiang Zhou, Arun Krishnan
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Publication number: 20100303314Abstract: A method is provided for detecting a corresponding region of interest in digital medical images, the method including receiving a plurality of digital images including a primary image, at least one of the images being a projective image, identifying anatomical landmarks and structures within each of the images and correlating the images based on the identified anatomical landmarks and structures identifying a location of interest in the primary image, and automatically identifying a region of interest in the rest of the images, the region of interest corresponding to the identified location of interest in the primary image.Type: ApplicationFiled: May 28, 2010Publication date: December 2, 2010Applicant: Siemens Medical Solutions USA, Inc.Inventors: Yuanhsi (Tony) Chen, Zhigang Peng, Venkat Raghavan Ramamurthy, Xiang Sean Zhou
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Publication number: 20100284590Abstract: Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.Type: ApplicationFiled: May 26, 2010Publication date: November 11, 2010Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Zhigang Peng, Yimo Tao, Xiang Sean Zhou, Yiqiang Zhan, Arun Krishnan
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Publication number: 20100034440Abstract: A method of detecting an anatomical primitive in an image volume includes detecting a plurality of transformationally invariant points (TIPS) in the volume, aligning the volume using the TIPs, detecting a plurality landmark points in the aligned volume that are indicative of a given anatomical object, and fitting a target geometric primitive as the anatomical primitive based using the detected landmark points.Type: ApplicationFiled: July 23, 2009Publication date: February 11, 2010Applicant: Siemens Medical Solutions USA, Inc.Inventors: Yiqiang Zhan, Maneesh Dewan, Zhigang Peng, Xiang Sean Zhou
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Publication number: 20090161937Abstract: A method for performing a medical imaging study includes acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.Type: ApplicationFiled: December 15, 2008Publication date: June 25, 2009Applicant: Siemens Medical Solutions USA, Inc.Inventors: Zhigang Peng, Yiqiang Zhan, Xiang Zhou, Arun Krishnan
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Patent number: 7372881Abstract: A semiconductor laser wavelength control device capable of controlling the optical wavelength constant even if the optical output intensity of the semiconductor laser varies and permitting a reduction in overall size is to be provided. It is provided with control means which controls the optical wavelength of a laser diode 1 to a prescribed wavelength by driving a temperature control unit to control the temperature of the laser diode 1.Type: GrantFiled: October 8, 2004Date of Patent: May 13, 2008Assignee: Asahi Kasei Microsystems Co., Ltd.Inventors: Izumi Kawata, Zhigang Peng, Akio Mukai
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Publication number: 20050105570Abstract: A semiconductor laser wavelength control device capable of controlling the optical wavelength constant even if the optical output intensity of the semiconductor laser varies and permitting a reduction in overall size is to be provided. It is provided with control means which controls the optical wavelength of a laser diode 1 to a prescribed wavelength by driving a temperature control unit to control the temperature of the laser diode 1.Type: ApplicationFiled: October 8, 2004Publication date: May 19, 2005Inventors: Izumi Kawata, Zhigang Peng, Akio Mukai