公开(公告)号：US20150160319A1

公开(公告)日：2015-06-11

申请号：US14501195

申请日：2014-09-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sang Cheon CHOI ,  Joon Soo KIM ,  Yeol Min SEONG ,  Yang Lim CHOI ,  Praveen GULAKA

IPC: G01R33/561 ,  G01R33/341 ,  G01R33/34 ,  G01R33/48 ,  G01R33/54

CPC classification number: G01R33/5611

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 translation: MRI装置包括：包括通道的接收线圈组件，并且被配置为从对象接收MR信号; 数据生成器，被配置为基于所述MR信号在k空间上生成欠采样图像数据; 以及重构图像生成器，被配置为使用并行成像方法从来自欠采样图像数据生成第一重建图像，以及使用压缩感测从来自欠采样图像数据的第二重建图像生成。 根据MRI装置，由于使用随机欠采样图像数据，并行成像方法和压缩感测进行图像重建，因此可以增加图像采集的速度，并且同时提高图像的质量。

公开(公告)号：US20220343672A1

公开(公告)日：2022-10-27

申请号：US17569059

申请日：2022-01-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Han Sol LEE ,  Duck-Soo KIM ,  Kwang Hyuk BAE ,  Yeol Min SEONG ,  Moon Kyu SONG ,  Seong Wook SONG ,  Jun Seo LEE

IPC: G06V40/12 ,  G06V10/46 ,  G06V10/82

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.