Shanghai United Imaging Healthcare Co., Ltd.

Uih America, Inc.

Ohio State Innovation Foundation

The Ohio State University

Siemens Corporation

Siemens Aktiengesellschaft

Siemens Medical Solutions Usa, Inc.

Sabic Global Technolgoies B.v.

Sofec, Inc.

Yu Ding

Qi Liu

Jian Xu

Orlando P Simonetti

Jingyuan Lyu

Renjie He

Yuan Zheng

Yang Lyu

Hui Xue

Rizwan Ahmad

Yang Lv

Yiu-Cho Chung

Jinghua Wang

Weiguo Zhang

Marie-Pierre Jolly

Jian Long Yang

Sven Zuehlsdorff

Yongquan Ye

Jens Guehring

Christoph Guetter

Arne Littmann

Yonghui Liu

Ning Jin

Arun Sanjay Duggal

Narong An

Zhenhua Shen

Xiaomao Gong

Hui Liu

Shengping Pan

Hung-Yu Lin

Jacob A Bender

Jinbo Ma

Qing Wei

Guangde Huang

Samuel Tze Luong Ting

Prashanth Palaniappan

A method may include acquiring MR signals by an MR scanner and generating image data in a k-space according to the MR signals. The method may also include classifying the image data into a plurality of phases. Each of the plurality of phases may have a first count of spokes. A spoke may be defined by a trajectory for filling the k-space. The method may also include classifying the plurality of phases of the image data into a plurality of groups and determining reference images based on the plurality of groups. Each of the reference images may correspond to the at least one of the phases of the image data. The method may further include reconstructing an image sequence based on the reference images and the plurality of phases of the image data.

Systems and methods for magnetic resonance image reconstruction

The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

Method and system for magnetic resonance imaging

A method for medical imaging may include obtaining a plurality of successive images of a region of interest (ROI) including at least a portion of an object's heart. The plurality of successive images may be based on imaging data acquired from the ROI by a scanner without electrocardiography (ECG) gating. The plurality of successive images may be related to one or more cardiac cycles of the object's heart. The method may also include automatically determining, in the plurality of successive images, target images that correspond to at least one of the one or more cardiac cycles of the object's heart.

Systems and methods for medical imaging

A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

System and method for magnetic resonance imaging

A system and method for image reconstruction are provided. A first region of an object may be determined. The first region may correspond to a first voxel. A second region of the object may be determined. The second region may correspond to a second voxel. Scan data of the object may be acquired. A first regional image may be reconstructed based on the scan data. The reconstruction of the first regional image may include a forward projection on the first voxel and the second voxel and a back projection on the first voxel.

System and method for image reconstruction

The disclosure relates to a system and method for image reconstruction. The method may include the steps of: obtaining raw data corresponding to radiation rays within a volume, determining a radiation ray passing a plurality of voxels, grouping the voxels into a plurality of subsets such that at least some subset of voxels are sequentially loaded into a memory, and performing a calculation relating to the sequentially loaded voxels. The radiation ray may be determined based on the raw data. The calculation may be performed by a plurality of processing threads in a parallel hardware architecture. A processing thread may correspond to a subset of voxels.

The present disclosure provides a system and method for magnetic resonance imaging. The method may include obtaining first k-space data collected from a subject in a non-Cartesian sampling manner. The method may also include generating second k-space data by regridding the first k-space data. The method may further include generating third k-space data by calibrating the second k-space data, wherein a calibrated field of view (FOV) corresponding to the third k-space data is constituted by a central portion of an intermediate FOV corresponding to the second k-space data. The method may still further include reconstructing, using at least one of a compressed sensing algorithm or a parallel imaging algorithm, a magnetic resonance (MR) image of the subject based at least in part on the third k-space data.

Mooring systems and processes for using same. In some embodiments, the system can include a first vessel support structure and a second vessel support structure, each disposed on a vessel. Each vessel support structure can include at least one extension arm can be suspended from each vessel support structure. A ballast tank can be connected to each of the at least one extension arms. A first end of a yoke can be connected to the ballast tank and a second end of the yoke can include a yoke head disposed thereon. The system can also include a first mooring support structure and a second mooring support structure, each fixed in place. Each mooring support structure can include a pitch bearing. The yoke heads of the first and second vessel support structures can be connected to the pitch bearings of the first and second mooring support structures, respectively.

Mooring systems and processes for using same

The disclosure relates to a system and method for correcting inhomogeneity in an MRI image. The method may include the steps of: acquiring a first set of k-space data, acquiring a second set of k-space data, generating the convolution kernel of the first set of k-space data based on the first set of k-space data and the second set of k-space data, performing inverse Fourier transform on the convolution kernel of the first set of k-space data to obtain an inversely transformed convolution kernel of the first set of k-space data, and generating a corrector based on the inversely transformed convolution kernel of the first set of k-space data. The method may be implemented on a machine including at least one processor and storage.

Systems and methods for generating an image of a subject using a magnetic resonance imaging (MRI) device may be provided. The method may include obtaining a radial sampling scheme including a plurality of radial lines that each pass through a center of k-space. The method may include selecting the plurality of radial lines of the radial sampling scheme. Each of the plurality of radial lines may be selected in a random and unrepeatable manner. The method may include acquiring k-space data along the selected radial lines. The method may include reconstructing at least one image of the subject based on the acquired k-space data.

System and method for magnetic resonance imaging with radial sampling of k-space

The present disclosure is related to systems and methods for determining a field map in magnetic resonance imaging (MRI). The method includes obtaining at least three images. Each may be acquired at one of at least three echo times by an MRI device via scanning a subject. The at least three echo times may define multiple pairs of adjacent echo times. Each of the multiple pairs of adjacent echo times may have a time difference between the adjacent echo times. At least two of the time differences may be different. The method includes determining a target function with an off-resonance frequency as an independent variable. The target function includes a phase deviation term and a sparsity constraint term.

Systems and methods for determining field map

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Houston, TX, United States of America

Yu Ding