Patents by Inventor Reni S. Butler
Reni S. Butler 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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Publication number: 20230245310Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: ApplicationFiled: April 4, 2023Publication date: August 3, 2023Applicant: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Patent number: 11651489Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: GrantFiled: February 3, 2021Date of Patent: May 16, 2023Assignee: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Publication number: 20210158518Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: ApplicationFiled: February 3, 2021Publication date: May 27, 2021Applicant: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Patent number: 10949967Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: GrantFiled: June 28, 2018Date of Patent: March 16, 2021Assignee: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Publication number: 20180322630Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: ApplicationFiled: June 28, 2018Publication date: November 8, 2018Applicant: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Patent number: 10026170Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: GrantFiled: July 19, 2016Date of Patent: July 17, 2018Assignee: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Publication number: 20160343132Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: ApplicationFiled: July 19, 2016Publication date: November 24, 2016Applicant: Seno Medical Instruments, Inc.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Patent number: 9398893Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: GrantFiled: March 11, 2014Date of Patent: July 26, 2016Assignee: SENO MEDICAL INSTRUMENTS, INC.Inventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller
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Publication number: 20140301619Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.Type: ApplicationFiled: March 11, 2014Publication date: October 9, 2014Applicant: Seno Medical InstrumentsInventors: Anthony Thomas Stavros, Reni S. Butler, Philip T. Lavin, Jason Zalev, Thomas G. Miller