Patents by Inventor Dustin M. Sargent
Dustin M. Sargent 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: 11532399Abstract: Methods and systems and computer readable media are provided for processing digitized radiology images of a patient's tissue to perform a tissue density assessment. A set of radiology images is analyzed with a tissue density image classifier, wherein the tissue density classifier includes a plurality of classifiers. A features vector is generated, for each processed image in the set of radiology images, based on the processing. The features vector is provided, for each processed image in the set of radiology images, to a tissue density classifier to obtain an output. A final tissue density score is assigned based on the output of the tissue density classifier.Type: GrantFiled: October 15, 2019Date of Patent: December 20, 2022Assignee: Merative US L.P.Inventors: Sun Young Park, Dustin M. Sargent
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Patent number: 11183294Abstract: Methods and systems are provided for managing identifying information for an entity. The identifying information of the entity embedded in or associated with a digital image is detected, wherein the identifying information is selected from the group consisting of: text information and image information corresponding to one or more features of an entity. The text information may be removed from the digital image. The image information may be replaced with one or more computer generated synthetic images, wherein the computer generated synthetic images are based on a natural appearance of the digital image. The synthetic content, which may be generated by a GAN, is based on a natural appearance of the image. The medical image may also contain PHI in text-based fields associated with private tags/fields, which are automatically identified and removed using the systems and methods provided herein.Type: GrantFiled: August 30, 2019Date of Patent: November 23, 2021Assignee: International Business Machines CorporationInventors: Dustin M. Sargent, Sun Young Park, Dale Seegmiller Maudlin
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Patent number: 11062467Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.Type: GrantFiled: February 5, 2020Date of Patent: July 13, 2021Assignee: International Business Machines CorporationInventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20210110930Abstract: Methods and systems and computer readable media are provided for processing digitized radiology images of a patient's tissue to perform a tissue density assessment. A set of radiology images is analyzed with a tissue density image classifier, wherein the tissue density classifier includes a plurality of classifiers. A features vector is generated, for each processed image in the set of radiology images, based on the processing. The features vector is provided, for each processed image in the set of radiology images, to a tissue density classifier to obtain an output. A final tissue density score is assigned based on the output of the tissue density classifier.Type: ApplicationFiled: October 15, 2019Publication date: April 15, 2021Inventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20210065881Abstract: Methods and systems are provided for managing identifying information for an entity. The identifying information of the entity embedded in or associated with a digital image is detected, wherein the identifying information is selected from the group consisting of: text information and image information corresponding to one or more features of an entity. The text information may be removed from the digital image. The image information may be replaced with one or more computer generated synthetic images, wherein the computer generated synthetic images are based on a natural appearance of the digital image. The synthetic content, which may be generated by a GAN, is based on a natural appearance of the image. The medical image may also contain PHI in text-based fields associated with private tags/fields, which are automatically identified and removed using the systems and methods provided herein.Type: ApplicationFiled: August 30, 2019Publication date: March 4, 2021Inventors: Dustin M. Sargent, Sun Young Park, Dale Seegmiller Maudlin
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Patent number: 10679325Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: GrantFiled: September 16, 2019Date of Patent: June 9, 2020Assignee: International Business Machines CorporationInventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20200175698Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.Type: ApplicationFiled: February 5, 2020Publication date: June 4, 2020Inventors: Sun Young Park, Dustin M. Sargent
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Patent number: 10593051Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.Type: GrantFiled: December 20, 2017Date of Patent: March 17, 2020Assignee: International Business Machines CorporationInventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20200013141Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: ApplicationFiled: September 16, 2019Publication date: January 9, 2020Inventors: Sun Young Park, Dustin M. Sargent
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Patent number: 10424045Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: GrantFiled: June 21, 2017Date of Patent: September 24, 2019Assignee: International Business Machines CorporationInventors: Sun Young Park, Dustin M. Sargent
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Patent number: 10417737Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: GrantFiled: November 6, 2017Date of Patent: September 17, 2019Assignee: International Business Machines CorporationInventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20190188870Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.Type: ApplicationFiled: December 20, 2017Publication date: June 20, 2019Inventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20190066244Abstract: An apparatus comprising a memory comprising executable instructions, and a processor coupled to the memory and configured to execute the instructions to obtain measurements of a subject illustrated in a healthcare image, receive familial data of the subject of the healthcare image, receive clinical healthcare data from at least one source, filter the clinical healthcare data based on the familial data to generate an expected healthcare characteristic pattern for the subject of the healthcare image, determine an equation for estimation of a characteristic of the subject of the healthcare image at least partially according to the familial data of the subject of the healthcare image and the expected healthcare characteristic pattern for the subject of the healthcare image, determine the estimation of the characteristic of the subject of the healthcare image according to the measurements.Type: ApplicationFiled: August 30, 2017Publication date: February 28, 2019Inventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20190066245Abstract: A computer-implemented method comprising obtaining, by a processor, measurements from a healthcare image of a patient, receiving familial data of the subject of the healthcare image, receiving clinical healthcare data from at least one source, filtering the clinical healthcare data based on the familial data to generate an expected healthcare characteristic pattern, determining, by the processor, whether an estimation equation appropriate for use with the measurements of the patient is preexisting at least partially according to the familial data of the patient and the expected healthcare characteristic pattern, selecting, by the processor, an equation for use with the measurements of the patient to provide an estimation based at least partially on the measurements and the expected healthcare characteristic pattern, determining, by the processor, the estimation at least partially according to the selected equation and the measurements of the patient, and outputting the estimation to a user.Type: ApplicationFiled: November 6, 2017Publication date: February 28, 2019Inventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20180374193Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: ApplicationFiled: June 21, 2017Publication date: December 27, 2018Inventors: Sun Young Park, Dustin M. Sargent
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Publication number: 20180374194Abstract: A medcal registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.Type: ApplicationFiled: November 6, 2017Publication date: December 27, 2018Inventors: Sun Young Park, Dustin M. Sargent