Patents by Inventor Carl Hacker
Carl Hacker 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: 20230371984Abstract: Among the various aspects of the present disclosure is the provision of devices, systems, and methods for tracking the positions and orientations of at least one bone screw implanted within a surgical site. The disclosed device includes an extension that includes an extension base configured to couple to the bone screw, a marker arm coupled at one end to the extension base in a hinged arrangement, and an optical marker attached to a free end of the marker arm opposite the hinged attachment. The optical marker includes a pair of lenticular arrays in a coplanar arrangement in which the major axes of the lenticular arrays are mutually perpendicular. Each lenticular array is configured to display different hues at different viewing angles. The disclosed method includes transforming a single image of a surgical site containing at least one bone screw and extension into the global positions of each bone screw based on the pixel positions and hues corresponding to the lenticular arrays of each optical marker.Type: ApplicationFiled: May 17, 2023Publication date: November 23, 2023Applicants: Washington University, The George Washington UniversityInventors: Eric Leuthardt, Guy Genin, Peter Brunner, Robert Pless, Camilo Molina, Carl Hacker, Daniel Moran, Alicia Repka, Halle Lowe, Jacob Sandler
-
Publication number: 20230306595Abstract: A method for selecting a seed region for use in a seed-based cortical functional mapping method includes providing at least one RSN map of at least one subject, each of the at least one RSN maps comprising a plurality of functional voxels within a brain of each of the at least one subjects, each functional voxel of the plurality of functional voxels associated with a probability of membership in an RSN. A subset of the functional voxels characterizing a contiguous region is selected as the seed region, each functional voxel of the seed region having a probability of membership in the RSN above a threshold value.Type: ApplicationFiled: May 23, 2023Publication date: September 28, 2023Applicant: Washington UniversityInventors: Eric Leuthardt, Carl Hacker, Shan Siddiqi, Tim Laumann, Andy Daniel
-
Patent number: 11704790Abstract: A target location for a therapeutic intervention is determined in a subject with a neurological disorder. The target location is selected within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. The at least one RSN map includes a plurality of functional voxels within a brain of the subject, and each functional voxel of the plurality of functional voxels is associated with a probability of membership in an RSN. Instructions are transmitted to a treatment system that cause operation to be performed on the selected target location.Type: GrantFiled: September 25, 2018Date of Patent: July 18, 2023Assignee: Washington UniversityInventors: Eric Leuthardt, Carl Hacker, Shan Siddiqi, Tim Laumann, Andy Daniel
-
Publication number: 20230181119Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: ApplicationFiled: February 13, 2023Publication date: June 15, 2023Inventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Patent number: 11589826Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: GrantFiled: April 15, 2019Date of Patent: February 28, 2023Assignee: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Publication number: 20200237316Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: ApplicationFiled: April 15, 2019Publication date: July 30, 2020Applicant: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Publication number: 20190239818Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: ApplicationFiled: April 15, 2019Publication date: August 8, 2019Applicant: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Patent number: 10258289Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: GrantFiled: September 20, 2018Date of Patent: April 16, 2019Assignee: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Publication number: 20190090749Abstract: A method for determining a target location for a therapeutic intervention in a subject with a neurological disorder is disclosed that includes selecting the target location within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. Each of the at least one RSN maps includes a plurality of functional voxels within a brain of the subject, and each functional voxel of the plurality of functional voxels is associated with a probability of membership in an RSN. A method for monitoring an efficacy of a therapeutic intervention in a subject with a neurological disorder is also disclosed that includes comparing at least a portion of at least one pre-treatment RSN map of the subject prior to the therapeutic intervention, at least one post-treatment RSN map of the subject after the therapeutic intervention to determine changes in the at least one post-treatment RSN map.Type: ApplicationFiled: September 25, 2018Publication date: March 28, 2019Applicant: Washington UniversityInventors: Eric Leuthardt, Carl Hacker, Shan Siddiqi, Tim Laumann, Andy Daniel
-
Publication number: 20190015050Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: ApplicationFiled: September 20, 2018Publication date: January 17, 2019Applicant: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Patent number: 10092246Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: GrantFiled: August 15, 2016Date of Patent: October 9, 2018Assignee: WASHINGTON UNIVERSITYInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Publication number: 20160345911Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: ApplicationFiled: August 15, 2016Publication date: December 1, 2016Inventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder
-
Patent number: 9480402Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.Type: GrantFiled: November 9, 2012Date of Patent: November 1, 2016Assignee: Washington UniversityInventors: Eric Leuthardt, Nicholas Szrama, Carl Hacker, Tim Laumann, Maurizio Corbetta, Abraham Z. Snyder