Patents by Inventor Ricardo S. Avila
Ricardo S. Avila 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: 11935229Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.Type: GrantFiled: July 21, 2020Date of Patent: March 19, 2024Assignee: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Publication number: 20210012488Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.Type: ApplicationFiled: July 21, 2020Publication date: January 14, 2021Applicant: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Patent number: 10719930Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.Type: GrantFiled: April 13, 2016Date of Patent: July 21, 2020Assignee: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Patent number: 10660600Abstract: A device for measuring image quality properties of an image acquisition device while the subject or object is being scanned contains an embedded grid pattern to measure spatial distortion along the length of the image acquisition table. The device also contains reference materials, which may run along the length of the device, for measuring fundamental imaging properties such as signal strength, noise, and resolution. Automated software can detect the device within an acquisition, measure its properties, and provide data and reports on the quality of the image acquisition.Type: GrantFiled: April 13, 2016Date of Patent: May 26, 2020Assignee: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Publication number: 20180096477Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.Type: ApplicationFiled: April 13, 2016Publication date: April 5, 2018Applicant: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Publication number: 20180035970Abstract: A device for measuring image quality properties of an image acquisition device while the subject or object is being scanned contains an embedded grid pattern to measure spatial distortion along the length of the image acquisition table. The device also contains reference materials, which may run along the length of the device, for measuring fundamental imaging properties such as signal strength, noise, and resolution. Automated software can detect the device within an acquisition, measure its properties, and provide data and reports on the quality of the image acquisition.Type: ApplicationFiled: April 13, 2016Publication date: February 8, 2018Applicant: ACCUMETRA, LLCInventor: Ricardo S. Avila
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Patent number: 8577101Abstract: This invention relates to a method of assessing the change in size of cancerous lesions in humans utilizing CT scans through the application of a boundary detection algorithm capable of detecting subtle changes in CT images. The change assessment method may include the steps for defining boundary regions on a CT scan image, analyzing said boundaries utilizing a computational program containing statistical analysis techniques, and producing a medically useful output showing any change in lesion size. The change assessment method may also be interfaced with other medical diagnostic techniques or devices that are known in the art.Type: GrantFiled: March 13, 2007Date of Patent: November 5, 2013Assignee: Kitware, Inc.Inventor: Ricardo S. Avila
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Publication number: 20110211743Abstract: This invention relates to a method of assessing the change in size of cancerous lesions in humans utilizing CT scans through the application of a boundary detection algorithm capable of detecting subtle changes in CT images. The change assessment method may include the steps for defining boundary regions on a CT scan image, analyzing said boundaries utilizing a computational program containing statistical analysis techniques, and producing a medically useful output showing any change in lesion size. The change assessment method may also be interfaced with other medical diagnostic techniques or devices that are known in the art.Type: ApplicationFiled: March 13, 2007Publication date: September 1, 2011Inventors: Ricardo S. Avila, Luis Ibanez
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Publication number: 20100063410Abstract: This invention relates to a method, system, and devices relating to quantitatively measuring regional lung tissue damage by combining the CT scan measurements of the mineral density deviations and/or mineral composition deviations in airway tissue, with the measurements of airflow lung function measurements.Type: ApplicationFiled: November 17, 2009Publication date: March 11, 2010Inventor: Ricardo S. Avila
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Patent number: 6597762Abstract: An object detection apparatus includes a data acquisition system configured to acquire diagnostic data of the subject, an image reconstructor configured to reconstruct at least one image of the subject from the diagnostic data, and a data retrieval device configured to retrieve a first set of bookmarks identifying a first set of objects of interest in the at least one image. The object detection apparatus further includes a computer programmed to display the at least one image on a console and detect input from the user corresponding to a second set of bookmarks identifying a second set of objects of interest in the image. The computer is further programmed to selectively allow the user to incorporate each bookmark of the first set of bookmarks into the second set of bookmarks.Type: GrantFiled: November 27, 2002Date of Patent: July 22, 2003Assignee: GE Medical Systems Global Technology Co., LLCInventors: Matthieu D. Ferrant, Mirelle Audet, Saad A. Sirohey, Kelly L. Karau, Beth A. Heckel, Cheryl R. Jones, Ricardo S. Avila