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公开(公告)号:US20200043616A1
公开(公告)日:2020-02-06
申请号:US16469334
申请日:2017-12-06
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: AXEL SAALBACH , TIM PHILIPP HARDER , TANJA NORDHOFF , RAFAEL WIEMKER , FABIAN WENZEL , JENS VON BERG , IRINA WAECHTER-STEHLE
Abstract: A system includes an analytics unit (140), which compares a medical image (105) and associated information with a stored medical guideline (142), and identifies an error or a deviation (340) from the medical guideline based on the comparison.
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公开(公告)号:US20200320705A1
公开(公告)日:2020-10-08
申请号:US16955959
申请日:2018-12-14
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: RAFAEL WIEMKER , TANJA NORDHOFF , THOMAS BUELOW , AXEL SAALBACH , TOBIAS KLINDER , TOM BROSCH , TIM PHILIPP HARDER , KARSTEN SOMMER
Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.
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公开(公告)号:US20210241883A1
公开(公告)日:2021-08-05
申请号:US17251420
申请日:2019-06-17
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: THOMAS NETSCH , MICHAEL GÜNTER HELLE , THOMAS KOEHLER , CLAAS BONTUS , CHRISTOPHE MICHAEL JEAN SCHÜLKE , TANJA NORDHOFF , DOUGLAS B. MCKNIGHT
Abstract: A system (100) for reconstruction of medical images over a network comprises a scheduler (302) that schedules a reconstruction request (108) and the reconstruction request includes a medical image reconstruction of a subject according to an imaging protocol The scheduling includes scheduling of a plurality of events, each event with a corresponding time, and the plurality of events include at least one event with the corresponding time selected from a group consisting of a first time (520) to transmit raw image data (114) over a first network from a source node (116) to a reconstruction node (106), a second time (522) to reconstruct the medical image (118) by the reconstruction node, and a third time (524) to transmit the reconstructed medical image over a second network from the reconstruction node to a destination node (120).
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公开(公告)号:US20210118554A1
公开(公告)日:2021-04-22
申请号:US17254321
申请日:2019-06-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: THOMAS ERIK AMTHOR , LIQIN WANG , CHENGUANG ZHAO , JOACHIM DIETER SCHMIDT , JORN BORGERT , YAJING ZHANG , INGMAR GRAESSLIN , TANJA NORDHOFF
Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.
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