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公开(公告)号：US10719935B2
公开(公告)日：2020-07-21
申请号：US15770695
申请日：2016-11-14
发明人： Jae-sung Lee , Gye-hyun Kim , Woo-hyun Nam , Yong-sup Park , Ji-hun Oh , Yun-sub Jung
IPC分类号： G06T7/30 , G06T7/10 , G06T7/00 , A61B5/055 , A61B5/08 , A61B6/03 , A61B8/08 , G06T7/62 , G06T7/11 , G06T7/168 , G06T7/37 , A61B6/00
摘要： An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.
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公开(公告)号：US10143433B2
公开(公告)日：2018-12-04
申请号：US15118691
申请日：2015-02-12
发明人： Gye-hyun Kim , Jae-sung Lee , Jae-chool Lee , Hae-kyung Jung , Yoon-mi Hong
摘要： A computed tomography (CT) apparatus includes a reconstruction unit which reconstructs a first CT image corresponding to a field of view (FOV) by using a first sinogram acquired by a CT scan of an object; and a correction unit which acquires a second sinogram by performing forward projection on the first CT image and acquires a second CT image by using the second sinogram and a third sinogram representing a portion of the object that is not included in the FOV. Thus, the CT apparatus reduces generation of image errors to thereby provide a high-quality reconstructed CT image.
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公开(公告)号：US09993218B2
公开(公告)日：2018-06-12
申请号：US14778864
申请日：2014-03-20
发明人： Yoon-mi Hong , Gye-hyun Kim , Jae-sung Lee , Jae-chool Lee , Hae-kyung Jung
CPC分类号： A61B6/5258 , A61B6/032 , A61B6/4233 , A61B6/52 , A61B6/5205 , G06T11/006 , G06T2211/424
摘要： An image processing method of an image processing apparatus includes projecting centers of pixels of a pixel grid onto a preset common axis, mapping a boundary of a detector cell comprised in the detection unit on the preset common axis, and determining a detector value based on the projecting the centers of the pixels onto the preset common axis and the mapping the boundary of the detector cell on the preset common axis.
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公开(公告)号：US10413253B2
公开(公告)日：2019-09-17
申请号：US14949676
申请日：2015-11-23
发明人： Ji-hun Oh , Gye-hyun Kim , Jae-sung Lee , Min-su Cheon
摘要： Provided is a medical image processing apparatus including: a data acquisition unit configured to respectively acquire a plurality of medical images representing an object including at least one target at a plurality of different time points; and an image processor configured to generate, based on the acquired plurality of medical images, a diagnostic image showing a degree of change that has occurred in the at least one target over the plurality of different time points.
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公开(公告)号：US10360678B2
公开(公告)日：2019-07-23
申请号：US15430846
申请日：2017-02-13
发明人： Yun-sub Jung , Gye-hyun Kim , Jae-sung Lee , Yong-sup Park , Ji-hun Oh
IPC分类号： G06T7/62 , A61B5/107 , A61B5/087 , G06T7/00 , G06T7/11 , A61B5/055 , A61B5/08 , A61B5/00 , A61B6/03 , A61B6/00 , A61B8/00 , A61B8/08 , A61B5/01 , A61B5/0402
摘要： Disclosed are an image processing apparatus, an image processing method and a recording medium thereof, the image processing apparatus including: a storage configured to store standard information about at least one anatomical entity; and at least one processor configured to detect regions corresponding to a plurality of anatomical entities based on a medical image obtained by scanning an object including the plurality of anatomical entities, to estimate a volume of a first anatomical entity at a predetermined point in time based on object information measured from the detected regions of the anatomical entity and the standard information stored in the storage, and to provide information about condition of the first anatomical entity based on the estimated volume. Thus, it is possible to make a diagnosis more simply and accurately by determining condition information of an anatomical entity at a point in time for the diagnosis based on a randomly taken medical image.
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