Abstract: The present invention relates to a device for measuring residual stress and hardness. Residual stress remaining in a metallic material due to deformation, thermal stress, or the like is a cause of various problems including degradation of mechanical properties such as fatigue strength and fracture properties and difficulty in post-processing. It is very difficult to derive a calibration curve when measuring stress by an existing non-destructive Barkhausen noise measurement method. When cross points of Barkhausen noise measurements for three or more stresses are not at one position, calibrated curves can be easily found by scaling the Barkhausen noise measurements by using calibration equations of the present invention to collect the cross points at a unique position, thereby providing a practical method of easily measuring stress of a metal by a Barkhausen noise measurement method.

Abstract: An image processing apparatus is disclosed. The present image processing apparatus includes an input unit to which an image is input; and a processor which extracts visual characteristics by reducing an input image and obtains a high-definition image by reflecting extracted visual characteristics on the input image. The disclosure relates to an artificial intelligence (AI) system and application thereof that simulate functions such as cognition and decision-making of a human brain using a machine learning algorithm such as deep learning.

Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Abstract: A one-touch tent flysheet having an edge portion is fixed to the ground in a state in which the one-touch tent flysheet covers a tent to protect the tent from an external environment, includes a waterproof cloth installed to cover the tent, a tunnel-type pole which is fixed to the waterproof cloth to allow the waterproof cloth to stand in the form of a tunnel when the flysheet is installed and which is formed in a ring shape and bent so that a pair of first points facing each other press against the ground and a pair of second points facing each other, which are at a right angle from the first points, are located at the highest height level, and a fastening member configured to connect and fix portions of the tent and the flysheet to allow the flysheet to be attached to or detached from the tent.

Abstract: The present invention relates to an image processing apparatus, an image processing method, and a recording medium for recording the same, the image processing apparatus including a storage configured to comprise a standard database (DB) established based on information about a predetermined anatomical entity; and at least one processor configured to obtain a local motion vector by registration between a first medical image and a second medical image taken by scanning an object including the anatomical entity, use a predictive local motion vector generated from the standard DB to normalize the local motion vector according to a plurality of regions in the anatomical entity, and make information about conditions of the anatomical entity based on the normalized local motion vector be provided according to the plurality of regions.

Abstract: A one-touch tent flysheet having an edge portion is fixed to the ground in a state in which the one-touch tent flysheet covers a tent to protect the tent from an external environment, includes a waterproof cloth installed to cover the tent, a tunnel-type pole which is fixed to the waterproof cloth to allow the waterproof cloth to stand in the form of a tunnel when the flysheet is installed and which is formed in a ring shape and bent so that a pair of first points facing each other press against the ground and a pair of second points facing each other, which are at a right angle from the first points, are located at the highest height level, and a fastening member configured to connect and fix portions of the tent and the flysheet to allow the flysheet to be attached to or detached from the tent.

Abstract: A medical image registration method and apparatus are described. By performance of a medical image registration method, a highly accurate registered image, in which breathing deformation information is considered, may be obtained by generation of non-real-time medical images in which the breathing deformation information is reflected before a medical procedure is conducted and by rigid registration of a real-time medical image and the generated non-real-time medical images during the medical procedure.

Abstract: 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.

Abstract: Disclosed are a medical image display device for displaying a screen including a medical image and a medical image processing method thereof, the medical image display device comprising: a display configured to display a first medical image obtained by photographing an object comprising at least one anatomical entity; and at least one processor configured to extract reference region information corresponding to the anatomical entity from at least one second medical image used as a reference image for the first medical image, detect a region corresponding to the anatomical entity from the first medical image based on the extracted reference region information, and control the display to display the region of the detected anatomical entity to be distinguishable from at least one region unrelated to the anatomical entity.

Abstract: A method of processing a medical image includes acquiring a three-dimensional (3D) medical image indicating a blood vessel and a two-dimensional (2D) medical image indicating the blood vessel, determining a blood vessel area in the 3D medical image corresponding to a partial area of the blood vessel in the 2D medical image, and matching the blood vessel area with the partial area in the 2D medical image.

Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Abstract: A medical imaging apparatus includes: an ultrasound probe to transmit and receive an ultrasound signal to obtain an ultrasound image of an object; a sensor coupled to the ultrasound probe to provide a position information related to an ultrasound imaging position in the object; and a processor to extract a certain anatomical feature from the ultrasound image and the certain anatomical feature from a medical image, perform a first registration between the medical image and the ultrasound image by matching the certain anatomical feature in the ultrasound image the certain anatomical feature in the medical image, perform a second registration between the sensor and the medical image based on the position information and the first registration, and control a display to display a portion of the medical image corresponding to the ultrasound imaging position based on at least one of the first registration and the second registration.

Abstract: An image processing apparatus is disclosed. The present image processing apparatus includes an input unit to which an image is input; and a processor which extracts visual characteristics by reducing an input image and obtains a high-definition image by reflecting extracted visual characteristics on the input image. The disclosure relates to an artificial intelligence (AI) system and application thereof that simulate functions such as cognition and decision-making of a human brain using a machine learning algorithm such as deep learning.

Abstract: A medical imaging apparatus includes: an ultrasound probe to transmit and receive an ultrasound signal to obtain an ultrasound image of an object; a sensor coupled to the ultrasound probe to provide a position information related to an ultrasound imaging position in the object; and a processor to extract a certain anatomical feature from the ultrasound image and the certain anatomical feature from a medical image, perform a first registration between the medical image and the ultrasound image by matching the certain anatomical feature in the ultrasound image the certain anatomical feature in the medical image, perform a second registration between the sensor and the medical image based on the position information and the first registration, and control a display to display a portion of the medical image corresponding to the ultrasound imaging position based on at least one of the first registration and the second registration.

Abstract: Sensor coupled to the ultrasound probe provides position information related to an ultrasound imaging position in the object. A processor performs first registration between the medical image and the ultrasound image based on the anatomical feature in the ultrasound image and a medical image of the object acquired by imaging modality different from the ultrasound apparatus, obtains first registration information which provides a relationship between a coordinate system of the medical image and a coordinate system of the ultrasound image based on the first registration, performs second registration between the sensor and the medical image based on the position information and the first registration information, and obtains second registration information based on the second registration. A display displays a portion of the medical image corresponding to the ultrasound imaging position based on the second registration information. The medical image includes one among SPECT, PET, MR, PET-CT, and PET-MR image.

Abstract: A medical imaging apparatus includes: an ultrasound probe to transmit and receive an ultrasound signal to obtain an ultrasound image of an object; a sensor coupled to the ultrasound probe to provide a position information related to an ultrasound imaging position in the object; and a processor to extract a certain anatomical feature from the ultrasound image and the certain anatomical feature from a medical image, perform a first registration between the medical image and the ultrasound image by matching the certain anatomical feature in the ultrasound image the certain anatomical feature in the medical image, perform a second registration between the sensor and the medical image based on the position information and the first registration, and control a display to display a portion of the medical image corresponding to the ultrasound imaging position based on at least one of the first registration and the second registration.

Abstract: 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.

Abstract: The present invention relates to an image processing apparatus, an image processing method, and a recording medium for recording the same, the image processing apparatus including a storage configured to comprise a standard database (DB) established based on information about a predetermined anatomical entity; and at least one processor configured to obtain a local motion vector by registration between a first medical image and a second medical image taken by scanning an object including the anatomical entity, use a predictive local motion vector generated from the standard DB to normalize the local motion vector according to a plurality of regions in the anatomical entity, and make information about conditions of the anatomical entity based on the normalized local motion vector be provided according to the plurality of regions.

Abstract: Disclosed are a medical image display device for displaying a screen including a medical image and a medical image processing method thereof, the medical image display device comprising: a display configured to display a first medical image obtained by photographing an object comprising at least one anatomical entity; and at least one processor configured to extract reference region information corresponding to the anatomical entity from at least one second medical image used as a reference image for the first medical image, detect a region corresponding to the anatomical entity from the first medical image based on the extracted reference region information, and control the display to display the region of the detected anatomical entity to be distinguishable from at least one region unrelated to the anatomical entity.

Abstract: A medical imaging apparatus includes: an ultrasound probe to transmit and receive an ultrasound signal to obtain an ultrasound image of an object; a sensor coupled to the ultrasound probe to provide a position information related to an ultrasound imaging position in the object; and a processor to extract a certain anatomical feature from the ultrasound image and the certain anatomical feature from a medical image, perform a first registration between the medical image and the ultrasound image by matching the certain anatomical feature in the ultrasound image the certain anatomical feature in the medical image, perform a second registration between the sensor and the medical image based on the position information and the first registration, and control a display to display a portion of the medical image corresponding to the ultrasound imaging position based on at least one of the first registration and the second registration.