Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Coreline Soft Co., Ltd.

Yongjin Chang

Jong Beom Ra

Kyoung-Yong Lee

Seungeon Kim

Iljun Ahn

Jaeyoun Yi

Donghoon Yu

Toshihiro Rifu

Byung-sun Choi

JongHyon Yi

Hyun Gi Seo

Jae-Sung Lee

Duhgoon Lee

Yong-sup Park

Jong-hyon Yi

Woo-hyun Nam

Yunje Cho

Ji-young Choi

Sunggoo Kwon

Sol A Seo

Jong-Hyon Yi

Disclosed herein is an artificial neural network-based medical image diagnosis assistance apparatus for assisting in diagnosing a medical image based on a medical artificial neural network. A medical image diagnosis assistance apparatus according to an embodiment of the present invention includes a computing system, and the computing system includes at least one processor. The at least one processor is configured to acquire or receive a first analysis result obtained through the inference of a first artificial neural network about a first medical image, to detect user feedback on the first analysis result input by a user, to determine whether the first analysis result and the user feedback satisfy training conditions, and to transfer the first analysis result and the user feedback satisfying the training conditions to a style learning model so that the style learning model is trained on the first analysis result and the user feedback.

Medical image diagnosis assistance apparatus and method for providing user-preferred style based on medical artificial neural network

Disclosed herein is a medical image reconstruction apparatus for reconstructing a medical image to assist the reading of a medical image. The medical image reconstruction apparatus includes a computing system, which includes: a receiver interface configured to receive a first medical image to which a first reconstruction parameter adapted to diagnose or analyze a first type of lesion is applied; and at least one processor configured to generate a second reconstruction parameter to be applied to the first medical image in response to a diagnosis order for the diagnosis or analysis of a second type of lesion. The at least one processor provides the second reconfiguration parameter to a user via a user interface, or generates a second medical image for the diagnose or analysis of the second type of lesion by executing the second reconstruction parameter on the first medical image and provides the second medical image to the user.

Medical image reconstruction apparatus and method for screening for plurality of types of lung diseases

Disclosed herein is a medical image reading assistant apparatus. The medical image reading assistant apparatus includes a computing system. The computing system includes: a receiver interface configured to receive a first medical image and a second medical image following the first medical image; and at least one processor configured to: generate follow-up information between first findings on the first medical image and second findings on the second medical image by comparing the locations of the first findings and the locations of the second findings; select at least some of the first findings as first valid findings based on a first threshold of diagnostic assistant information for each of the first findings; set a second threshold of diagnostic assistant information for each of the second findings based on the follow-up information; and select at least some of the second findings as second valid findings based on the second threshold.

Medical image reading assistant apparatus and method for adjusting threshold of diagnostic assistant information based on follow-up examination

A tomography apparatus includes a data acquirer configured to acquire partial images of an object including a first image and a second image having imaged a surface of a portion of the object corresponding to a first time and a second time, respectively, by performing a tomography scan on the object that is moving, and acquire first information indicating motion of the object by using the first image and the second image; and an image reconstructor configured to reconstruct a target image by using the first information.

Tomography apparatus and method for reconstructing tomography image thereof

Provided is a medical image processing apparatus including a processor. The processor obtains raw data in a first phase section and generates first motion information by using at least one partial angle reconstruction (PAR) image pair including two PAR images respectively obtained in two phase sections in the first phase section that face each other. The processor also generates a summed image by summing a plurality of PAR images obtained at different phases within the first phase section by using the first motion information Second motion information is generated by updating the first motion information such that an image metric representing motion artifacts is minimized when being calculated from the summed image and a reconstructed image is generated by applying the second motion information to the raw data.

Method and apparatus for processing a medical image to reduce motion artifacts

A tomography apparatus includes a data acquirer acquiring a first image and a second image that are partial images, by using data acquired in a first angular section corresponding to a first time point and a second angular section corresponding to a second time and facing the first angular section, by performing a tomography scan on an object that is moving, and acquiring first information indicating a motion amount of the object by using the first image and the second image, and an image reconstructor reconstructing a target image indicating the object at a target time, based on the first information.

A method of reconstructing a tomography image and a tomography apparatus configured to reconstruct a tomography image are provided. Tomography data corresponding to a moving object is acquired by performing a tomography scan on the object, and a tomography image is reconstructed using prior images obtained based on the acquired tomography data.

Tomography apparatus and method of reconstructing tomography image

A tomography apparatus includes a data acquirer which acquires a first image which corresponds to a first time point and a second image which corresponds to a second time point by performing a tomography scan on an object; an image reconstructor which acquires first information which relates to a relationship between a motion amount of the object and the time based on a motion amount between the first image and the second image, predicts a third image which corresponds to a third time point between the first and second time points based on the first information, corrects the first information by using the predicted third image and measured data which corresponds to the third time point, and reconstructs the third image by using the corrected first information; and a display which displays the reconstructed third image.

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Incheon, South Korea

Yongjin Chang