Patents by Inventor Zhong-Lin Lu

Zhong-Lin Lu 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).

  • Publication number: 20210307610
    Abstract: A sensory mapping method for a human brain is disclosed. The method includes the steps of flattening the cortical surface of the human brain, projecting functional imaging data onto the flattened surface, smoothing the functional imaging data, generating a sensory map, registering sensory maps across individuals and analyzing the maps in the common space. The flattening utilizes a conformal parametrization method. The smoothing utilizes a topological smoothing method that utilizes a diffeomorphic smoother. The registering is diffeomorphic. The sensory mapping method may further include a step of processing the functional imaging data to produce topological results.
    Type: Application
    Filed: April 2, 2021
    Publication date: October 7, 2021
    Inventors: Yanshuai Tu, Yalin Wang, Zhong-Lin Lu
  • Patent number: 11062450
    Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: July 13, 2021
    Assignees: Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
    Inventors: Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
  • Publication number: 20210209761
    Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
    Type: Application
    Filed: March 5, 2021
    Publication date: July 8, 2021
    Applicants: Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
    Inventors: Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
  • Patent number: 10925481
    Abstract: A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: February 23, 2021
    Assignees: Ohio State Innovation Foundation, Adaptive Sensory Technology, Inc.
    Inventors: Zhong-Lin Lu, Pengjing Xu, Luis Lesmes, Deyue Yu
  • Publication number: 20210007654
    Abstract: The present disclosure relates to systems and methods for characterizing a behavior change of a process. A behavior model that can include a set of behavior parameters can be generated based on behavior data characterizing a prior behavior change of a process. A stimulus parameter for a performance test can be determined based on the set of behavior parameters. An application of the performance test to the process can be controlled based on the stimulus parameter to provide a measure of behavior change of the process. Response data characterizing one or more responses associated with the process during the performance test can be received. The set of behavior parameters can be updated based on the response data to update the behavior model characterizing the behavior change of the process. In some examples, the behavior model can be evaluated to improve or affect a future behavior performance of the process.
    Type: Application
    Filed: March 12, 2018
    Publication date: January 14, 2021
    Inventors: ZHONG-LIN LU, YUKAI ZHAO, LUIS A. LESMES
  • Patent number: 10646155
    Abstract: The invention provides a method of generating an adaptive partial report for an observer with an apparatus comprising a display, a user interface, and a processor. The apparatus can be a computer system or an electronic device, for example. The method includes the processor characterizing an iconic memory decay function for the observer. The characterization includes determining a prior for a plurality of parameters. The method further includes the processor determining a first stimulus for a first trial based on the prior for the plurality of parameters, the display generating the stimulus for viewing by the observer, the user interface receiving input for the first trial and in response to the stimulus, the processor revising respective parameter values for the parameters based on the received input, and the processor determining a new stimulus for a next trial based on the revised parameter values.
    Type: Grant
    Filed: April 14, 2015
    Date of Patent: May 12, 2020
    Assignees: OHIO STATE INNOVATIVE FOUNDATION, ADAPTIVE SENSORY TECHNOLOGY
    Inventors: Zhong-Lin Lu, Jongsoo Baek, Luis A. Lesmes
  • Patent number: 10444311
    Abstract: Techniques for optimizing a magnetic resonance imaging (MRI) protocols are described herein. An example method can include receiving one or more MRI scanner settings for an imaging sequence; selecting at least one objective function from a plurality of objective functions; selecting an acquisition train length; selecting a k-space strategy; selecting one or more imaging parameters; and acquiring a magnetic resonance (MR) image using at least one of an optimized k-space strategy, an optimized acquisition train length, or optimized imaging parameters.
    Type: Grant
    Filed: March 11, 2016
    Date of Patent: October 15, 2019
    Assignees: Ohio State Innovation Foundation, Research Institute at Nationwide Children's Hospital
    Inventors: Jinghua Wang, Zhong-lin Lu, Nehal Parikh, Lili He
  • Publication number: 20190269315
    Abstract: A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.
    Type: Application
    Filed: March 1, 2019
    Publication date: September 5, 2019
    Applicant: Ohio State Innovation Foundation
    Inventors: Zhong-Lin Lu, Pengjing Xu, Luis Lesmes, Deyue Yu
  • Patent number: 10357151
    Abstract: Systems and methods for using an interocular inhibition procedure (IIP) for discriminating between anisometropic amblyopia and myopia, two disorders commonly confused in visual examination without proper optical correction. Opaque and translucent patching are positioned over the fellow (or untested) eye resulting in different contrast sensitivities in the amblyopic (or tested) eye. A pinhole aperture may be used for identifying amblyopia and myopia/hyperopia.
    Type: Grant
    Filed: April 30, 2015
    Date of Patent: July 23, 2019
    Assignees: OHIO STATE INNOVATION FOUNDATION, ADAPTIVE SENSORY TECHNOLOGY, BEIJING JUEHUA MEDICAL TECHNOLOGY CO., LTD., INSTITUTE OF PSYCHOLOGY, CHINESE ACADEMY OF SCIENCES
    Inventors: Zhong-Lin Lu, Chang-Bing Huang, Wuli Jia, Luis A. Lesmes, Jiawei Zhou
  • Publication number: 20190206057
    Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
    Type: Application
    Filed: September 13, 2017
    Publication date: July 4, 2019
    Applicants: Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
    Inventors: Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
  • Publication number: 20190192039
    Abstract: Method and systems provide a tool to quantify sensory maps of the brain. Cortical surfaces are conformally mapped to a topological disk where local geometry structures are well preserved. Retinotopy data are smoothed on the disk domain to generate a curve that best fits the retinotopy data and eliminates noisy outliers. A Beltrami coefficient map is obtained, which provides an intrinsic conformality measure that is sensitive to local changes on the surface of interest. The Beltrami coefficient map represents a function where the input domain is locations in the visual field and the output is a complex distortion measure at these locations. This function is also invertible. Given the boundaries and the Beltrami map of a flattened cortical region, a corresponding visual field can be reconstructed. The Beltrami coefficient map allows visualization and comparison of retinotopic map properties across subjects in the common visual field space.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 27, 2019
    Inventors: Yalin Wang, Duyan Ta, Zhong-Lin Lu
  • Patent number: 10247802
    Abstract: Methods for correcting inhomogeneities of magnetic resonance (MR) images and for evaluating the performance of the inhomogeneity correction. The contribution of both transmit field and receiver sensitivity to signal inhomogeneity have been separately considered and quantified. As a result, their negative contributions can be fully corrected. The correction method can greatly enhance the accuracy and precision of MRI techniques and improve the detection sensitivity of pathophysiological changes. The performance of signal inhomogeneity correction methods has been evaluated and confirmed using phantom and in vivo human brain experiments. The present methodologies are readily applicable to correct signal intensity inhomogeneity artifacts produced in different imaging modalities, such as computer tomography, X-ray, ultrasound, and transmission electron microscopy.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: April 2, 2019
    Assignees: Ohio State Innovation Foundation, Yale University
    Inventors: Jinghua Wang, Zhong-lin Lu, Robert Todd Constable
  • Publication number: 20190096277
    Abstract: The present disclosure relates to systems and methods for measuring reading performance.
    Type: Application
    Filed: September 25, 2018
    Publication date: March 28, 2019
    Applicants: Ohio State Innovation Foundation, Adaptive Sensory Technology, Inc.
    Inventors: Zhong-Lin Lu, Fang Hou, Deyue Yu, Peter J. Bex, Luis A. Lesmes
  • Publication number: 20180098724
    Abstract: The invention provides a method of generating an adaptive partial report for an observer with an apparatus comprising a display, a user interface, and a processor. The apparatus can be a computer system or an electronic device, for example. The method includes the processor characterizing an iconic memory decay function for the observer. The characterization includes determining a prior for a plurality of parameters. The method further includes the processor determining a first stimulus for a first trial based on the prior for the plurality of parameters, the display generating the stimulus for viewing by the observer, the user interface receiving input for the first trial and in response to the stimulus, the processor revising respective parameter values for the parameters based on the received input, and the processor determining a new stimulus for a next trial based on the revised parameter values.
    Type: Application
    Filed: April 14, 2015
    Publication date: April 12, 2018
    Inventors: Zhong-Lin LU, Jongsoo BAEK, Luis A. LESMES
  • Publication number: 20180045799
    Abstract: Techniques for optimizing a magnetic resonance imaging (MRI) protocols are described herein. An example method can include receiving one or more MRI scanner settings for an imaging sequence; selecting at least one objective function from a plurality of objective functions; selecting an acquisition train length; selecting a k-space strategy; selecting one or more imaging parameters; and acquiring a magnetic resonance (MR) image using at least one of an optimized k-space strategy, an optimized acquisition train length, or optimized imaging parameters.
    Type: Application
    Filed: March 11, 2016
    Publication date: February 15, 2018
    Inventors: Jinghua WANG, Zhong-lin LU, Nehal PARIKH, Lili HE
  • Patent number: 9700201
    Abstract: Data is received characterizing a result of a first visual sensitivity test assessing capacity to detect spatial form across one or more different target sizes, and different contrasts. Using the received data, one or more first parameters defining a first estimated visual sensitivity for a first range of contrasts and a second range of spatial frequencies is determined. One or more second parameters defining a second estimated visual sensitivity for a third range of contrasts and a fourth range of spatial frequencies is determined using the one or more first parameters and a statistical inference by at least presenting a first visual stimulus, receiving a response, and determining a second visual stimulus based at least on the response and at least a rule. The one or more second parameters is provided. Related apparatus, systems, techniques and articles are also described.
    Type: Grant
    Filed: May 9, 2013
    Date of Patent: July 11, 2017
    Assignees: The Schepens Eye Research Institute, Inc., The Ohio State University
    Inventors: Peter Bex, Michael Dorr, Luis Lesmes, Zhong-Lin Lu
  • Publication number: 20170055823
    Abstract: In one embodiment, the invention provides the use of an interocular inhibition procedure (IIP) for discriminating between anisometropic amblyopia and myopia, two disorders commonly confused in visual examination without proper optical correction. The inventors identified that opaque and translucent patching over the fellow (or untested) eye would result in different contrast sensitivities in the amblyopic (or tested) eye. In another embodiment, the invention provides a procedure for identifying amblyopia and myopia/hyperopia through the use of a pinhole aperture. Also disclosed are apparatus utilized in the procedures.
    Type: Application
    Filed: April 30, 2015
    Publication date: March 2, 2017
    Inventors: Zhong-Lin LU, Chang-Bing HUANG, Wuli JIA, Luis A. LESMES, Jiawei ZHOU
  • Publication number: 20160313428
    Abstract: MRI techniques are widely and successfully applied in medicine and biophysics because MRI provides good contrast between different soft tissues without ionizing radiation. MRI protocols are optimized in four aspects: imaging parameters, k-space strategies, RF system calibration and contrast inhomogeneity correction. The signal intensities of normal and disease tissues are simulated, for example, using Bloch equations for an imaging sequence with tissue MR parameters. The relationships between imaging parameters and tissue contrasts are calculated using the numerically simulated signal intensities. The optimal imaging parameters and/or k-space strategies are determined to maximize image contrast and minimize artifacts with acceptable spatial-temporal resolution based on characterization of the imaging hardware. The RF system is optionally calibrated to improve the accuracy of the imaging parameters and reduce inter-scanner variability.
    Type: Application
    Filed: April 22, 2016
    Publication date: October 27, 2016
    Inventors: Jinghua Wang, Zhong-lin Lu
  • Patent number: 9339239
    Abstract: MRI techniques are widely and successfully applied in medicine and biophysics because MRI provides good contrast between different soft tissues without ionizing radiation. MRI protocols are optimized in four aspects: imaging parameters, k-space strategies, RF system calibration and contrast inhomogeneity correction. The signal intensities of normal and disease tissues are simulated, for example, using Bloch equations for an imaging sequence with tissue MR parameters. The relationships between imaging parameters and tissue contrasts are calculated using the numerically simulated signal intensities. The optimal imaging parameters and/or k-space strategies are determined to maximize image contrast and minimize artifacts with acceptable spatial-temporal resolution based on characterization of the imaging hardware. The RF system is optionally calibrated to improve the accuracy of the imaging parameters and reduce inter-scanner variability.
    Type: Grant
    Filed: September 10, 2013
    Date of Patent: May 17, 2016
    Assignee: Ohio State Innovation Foundation
    Inventors: Jinghua Wang, Zhong-lin Lu
  • Publication number: 20160077182
    Abstract: A method for estimating receiver sensitivity in a magnetic resonance (MR) system. The method includes steps of acquiring an image SI(x); determining a transmission function T(x) including using Bloch's equation with an estimated transmit field B1transmit; generating an estimate of the bias field B(x); and combining the estimated bias field B(x) and the transmission function T(x) to determine a receiver sensitivity S(x).
    Type: Application
    Filed: September 24, 2015
    Publication date: March 17, 2016
    Inventors: Jinghua Wang, Zhong-Lin Lu