Abstract: A fingerprint recognition device is provided. The fingerprint recognition device includes an image acquisition module acquiring a fingerprint image including an input fingerprint, a preprocessing module generating a preprocessed image by preprocessing the fingerprint image, a minutiae extraction module extracting coordinates of each of minutiae and orientation points of the input fingerprint from the preprocessed image and a fake detection module receiving regions-of-interest (ROIs), including the coordinates of each of the minutiae or orientation points of the input fingerprint, and determining whether the input fingerprint is a fake by performing learning using the received ROIs.

Abstract: An MRI apparatus includes: a receive coil assembly including channels, and configured to receive an MR signal from an object; a data generator configured to generate undersampled image data on a k-space based on the MR signal; and a reconstructed image generator configured to generate a first reconstructed image from the undersampled image data using a parallel imaging method, and a second reconstructed image from the undersampled image data using compressed sensing. According to the MRI apparatus, since image reconstruction is performed using random undersampled image data, a parallel imaging method, and compressed sensing, it is possible to increase a speed of image acquisition and, at the same time, to improve the quality of images.

Abstract: The MRI apparatus includes a data processor, which time-serially performs undersampling on MR signals respectively received by coil channels included in a radio frequency (RF) multi-coil to acquire undersampled K-t space data, and an image processor that acquires a time-space correlation coefficient, based on noise information of the coil channels, and restores pieces of unacquired line data from the undersampled K-t space data by using the time-space correlation coefficient to acquire restored K-t space data, thereby increasing an accuracy of the time-space correlation coefficient to improve a quality of an image.

Abstract: A magnetic resonance imaging (MRI) apparatus and method are provided. The MRI apparatus includes a first interpolator configured to generate a plurality of first interpolation data by performing calibration on a plurality of undersampled K-space data obtained from a plurality of channel coils in a radio frequency (RF) multi-coil, respectively, and a second interpolator configured to generate a plurality of second interpolation data by performing calibration on a plurality of filtered data obtained by filtering the first interpolation data using a plurality of high-pass filters.

Abstract: Provided are a medical imaging apparatus and a method of reconstructing an image capable of selecting an image reconstruction mode. The method of reconstructing an image using a medical imaging apparatus may include displaying a user interface indicating at least one of a first mode for reducing time required for reconstruction of the image and a second mode for acquiring the image with high resolution, receiving an input selecting one of the first mode and the second mode as a selected mode, displaying at least one reconstruction option corresponding to the selected mode, receiving another input selecting at least one reconstruction option among the at least one displayed reconstruction option, and reconstructing the image according to the at least one selected reconstruction option and selected mode.

Abstract: An MRI apparatus includes: a receive coil assembly including channels, and configured to receive an MR signal from an object; a data generator configured to generate undersampled image data on a k-space based on the MR signal; and a reconstructed image generator configured to generate a first reconstructed image from the undersampled image data using a parallel imaging method, and a second reconstructed image from the undersampled image data using compressed sensing. According to the MRI apparatus, since image reconstruction is performed using random undersampled image data, a parallel imaging method, and compressed sensing, it is possible to increase a speed of image acquisition and, at the same time, to improve the quality of images.

Abstract: The MRI apparatus includes a data processor, which time-serially performs undersampling on MR signals respectively received by coil channels included in a radio frequency (RF) multi-coil to acquire undersampled K-t space data, and an image processor that acquires a time-space correlation coefficient, based on noise information of the coil channels, and restores pieces of unacquired line data from the undersampled K-t space data by using the time-space correlation coefficient to acquire restored K-t space data, thereby increasing an accuracy of the time-space correlation coefficient to improve a quality of an image.

Abstract: A magnetic resonance imaging (MRI) apparatus and method are provided. The MRI apparatus includes a first interpolator configured to generate a plurality of first interpolation data by performing calibration on a plurality of undersampled K-space data obtained from a plurality of channel coils in a radio frequency (RF) multi-coil, respectively, and a second interpolator configured to generate a plurality of second interpolation data by performing calibration on a plurality of filtered data obtained by filtering the first interpolation data using a plurality of high-pass filters.

Abstract: Provided are a medical imaging apparatus and a method of reconstructing an image capable of selecting an image reconstruction mode. The method of reconstructing an image using a medical imaging apparatus may include displaying a user interface indicating at least one of a first mode for reducing time required for reconstruction of the image and a second mode for acquiring the image with high resolution, receiving an input selecting one of the first mode and the second mode as a selected mode, displaying at least one reconstruction option corresponding to the selected mode, receiving another input selecting at least one reconstruction option among the at least one displayed reconstruction option, and reconstructing the image according to the at least one selected reconstruction option and selected mode.

Abstract: An apparatus and a method for frame interpolation based on precision motion estimation are provided. The apparatus for frame interpolation may generate an interpolation frame to restore images based on a motion vector which is determined after a motion vector is determined based on a rotation element in addition to forward motion and backward motion between frames.

Abstract: An apparatus and a method for frame interpolation based on precision motion estimation are provided. The apparatus for frame interpolation may generate an interpolation frame to restore images based on a motion vector which is determined after a motion vector is determined based on a rotation element in addition to forward motion and backward motion between frames.