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公开(公告)号:EP4375922A1
公开(公告)日:2024-05-29
申请号:EP23211412.4
申请日:2023-11-22
申请人: Claripi Inc.
发明人: KIM, Jong Hyo , KIM, Chang Won , LEE, Je Myoung , KIM, Tae Jin
CPC分类号: G06T2207/3001220130101 , G06T2207/2008420130101 , G06T7/0012 , G06T2207/3000820130101 , G06T7/11
摘要: The present disclosure provides an apparatus of identifying a vertebral body from a medical image, and the apparatus includes a vertebral bone identification module configured to identify the vertebral body based on a multi-slice medical image provided from an outside, in which the vertebral identification module reconstructs the multi-slice medical image to create a three-dimensional medical image, obtains a coronal projection image for the three-dimensional medical image by projecting the three-dimensional medical image in a coronal plane direction, divides the coronal projection image into a selection area including at least one of a lumbar and a thoracic, obtains area information corresponding to the selection area in the three-dimensional medical image based on the divided selection area, and performs numbering on the vertebral body based on the area information and the three-dimensional medical image.
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公开(公告)号:EP4205656A1
公开(公告)日:2023-07-05
申请号:EP23150059.6
申请日:2023-01-02
申请人: Claripi Inc.
发明人: PARK, Hyun Sook , AHN, Chul Kyun , KIM, Tae Jin
摘要: Disclosed are an optimization method and system for a personalized contrast scan based on deep learning, in which a contrast medium optimized for each individual patient is injected to implement optimum pharmacokinetic characteristics in a process of acquiring a medical image, the method including: obtaining drug information of a contrast medium and body information of a patient, in a contrast enhanced computed tomography (CT) scan; generating injection information of the drug to be injected into the patient by a predefined algorithm based on the drug information and the body information; injecting the drug into the patient based on the injection information, and acquiring a medical image by scanning the patient; and amplifying a contrast component in the medical image by inputting the medical image to a deep learning model trained in advance.
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公开(公告)号:EP4123584A1
公开(公告)日:2023-01-25
申请号:EP22185320.3
申请日:2022-07-15
申请人: Claripi Inc.
摘要: Disclosed are an apparatus and method for medical image processing according to pathologic lesion properties, the method including: recognizing a readout area different from an original readout area in a medical image by applying a previously trained deep learning model to the medical image, extracting properties, which include at least one of a location and a size of the readout area, from the medical image, and generating a readout image for the readout area, which is different from the original readout area corresponding to a purpose of taking the medical image, by reconstructing the medical image, thereby having an effect on generating a readout image for a different kind of pathologic lesion from a previously acquired medical image.
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