Abstract: The application relates to a positive active material precursor including a transition metal composite oxide precursor. The transition metal composite oxide precursor exhibits a peak full width at half maximum of a (200) plane (2?=about 42° to about 44°) in X-ray diffraction analysis in a range of about 0.3° to about 0.5°. The application also relates to a positive active material using the precursor, a method of preparing the same, and a positive electrode and a rechargeable lithium battery including the same.

Abstract: There are provided an image processing apparatus for registering medical images having different modalities and a method for controlling the same. A reference location is designated in advance, a pre-designated cross-sectional image of an object is used, a corresponding location is extracted, and then image registration is performed. The image processing apparatus according to an exemplary embodiment includes a communication unit configured to receive a first medical image and a second medical image having a different modality from the first medical image of an object from a first medical apparatus and a second medical apparatus, respectively; and an image processing unit configured to extract a pre-designated cross-sectional image from the second medical image, extract a location corresponding to a reference location of the object from the extracted cross-sectional image, and perform registration of the second medical image and the first medical image corresponding to the extracted cross-sectional image.

Abstract: An ultrasound imaging apparatus includes an image generator configured to scan an object to obtain an ultrasound image; a neural network configured to generate a virtual ultrasound image based on matching medical images of different modalities; an image converting part configured to convert a medical image of a different modality, previously obtained by scanning the object, into the virtual ultrasound image by using the neural network; and a matching part configured to determine a position of a virtual probe based on the ultrasound image and the virtual ultrasound image, and configured to match the ultrasound image with the medical image that corresponds to the determined position of the virtual probe.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: A medical image registration method includes determining whether a reference point of registration is present in a first medical image and a second medical image of an object; in response to determining that the reference point is not present in one of the first medical image and the second medical image, estimating a virtual reference point corresponding to the reference point in one of the first medical image and the second medical image, in which the reference point is not present, by using anatomical information of the object; and registering the first medical image and the second medical image by using the estimated virtual reference point.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: A medical image registration method includes determining whether a reference point of registration is present in a first medical image and a second medical image of an object; in response to determining that the reference point is not present in one of the first medical image and the second medical image, estimating a virtual reference point corresponding to the reference point in one of the first medical image and the second medical image, in which the reference point is not present, by using anatomical information of the object; and registering the first medical image and the second medical image by using the estimated virtual reference point.

Abstract: An ultrasound imaging apparatus includes an image generator configured to scan an object to obtain an ultrasound image; a neural network configured to generate a virtual ultrasound image based on matching medical images of different modalities; an image converting part configured to convert a medical image of a different modality, previously obtained by scanning the object, into the virtual ultrasound image by using the neural network; and a matching part configured to determine a position of a virtual probe based on the ultrasound image and the virtual ultrasound image, and configured to match the ultrasound image with the medical image that corresponds to the determined position of the virtual probe.

Abstract: There are provided an image processing apparatus for registering medical images having different modalities and a method for controlling the same. A reference location is designated in advance, a pre-designated cross-sectional image of an object is used, a corresponding location is extracted, and then image registration is performed. The image processing apparatus according to an exemplary embodiment includes a communication unit configured to receive a first medical image and a second medical image having a different modality from the first medical image of an object from a first medical apparatus and a second medical apparatus, respectively; and an image processing unit configured to extract a pre-designated cross-sectional image from the second medical image, extract a location corresponding to a reference location of the object from the extracted cross-sectional image, and perform registration of the second medical image and the first medical image corresponding to the extracted cross-sectional image.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.