Canon Medical Systems Corporation

Toshiba Medical Systems Corporation

Kabushiki Kaisha Toshiba

Masaaki Nagashima

Naoyuki Furudate

Satoshi Sugiura

Masaaki Umeda

Hiroshi Takai

Kousuke Sakaue

Minoru Yagi

Satoshi Ikeda

Longxun Piao

Hiroshi Kusahara

Yutaka Machii

Yuki Takai

Mark Golden

An method according to an embodiment divides k-space data into a k-space central segment and a k-space peripheral segment by segment. The method acquires the k-space central segment in a first time interval and acquires the k-space peripheral segment in a second time interval different from the first time interval. The method reconstructs an MR (Magnetic Resonance) image from k-space data obtained by combining data on the acquired k-space central segment and data on the acquired k-space peripheral segment. Furthermore, the first time interval includes a plurality of cardiac cycles. The k-space central segment is repeatedly acquired over the cardiac cycles. As a central segment of k-space data used to reconstruct the MR image, data in a cardiac cycle less affected by an arrhythmia among the cardiac cycles is selected.

Image reconstruction method and reconstruction apparatus

An image reconstruction method according to an embodiment includes: collecting first k-space data at a first time and second k-space data having an undersampled pattern different from an undersampled pattern of the first k-space data at a second time different from the first time; generating intermediate data by converting data including the first k-space data and the second k-space data; generating, by inversely converting the intermediate data, third k-space data and fourth k-space data that correspond to the first k-space data and the second k-space data, respectively, and in each of which at least part of a region undersampled through the corresponding undersampled pattern is filled; and generating a magnetic resonance image at a time different from any of the first time and the second time by converting k-space data obtained by combining at least part of the third k-space data and at least part of the fourth k-space data.

Image reconstruction method

An image reconstructing method includes: obtaining pieces of first k-space data acquired from a patient, first acquisition times corresponding to the pieces of first k-space data, and pieces of biological signal information of the patient in a time series, the pieces of first k-space data being sampled with time-varying undersampling pattern; generating pieces of second k-space data by inverse transforming an intermediate data which is generated by transforming the pieces of first k-space data, the pieces of second k-space data is a data that at least part of the undersampled point is filled; generating a pseudo second acquisition time of each of the pieces of second k-space data, based on the first acquisition times; performing a rearranging process on the pieces of second k-space data, based on the second acquisition times and the pieces of biological signal information; and generating images by performing a reconstructing process on the pieces of second k-space data resulting from the rearranging process.

Image reconstructing method and reconstructing apparatus

A magnetic resonance imaging apparatus according to an embodiment includes a temperature sensor and a processing circuit. The temperature sensor acquires a temperature. The processing circuit calculates, based on information on an imaging sequence in which magnetic resonance imaging is to be performed, an estimated value of consumption energy of a gradient coil in a case when the imaging sequence is executed and calculates, based on the temperature acquired by the temperature sensor and the estimated value of the consumption energy, an estimated value of a temperature of the gradient coil, the temperature of the gradient coil undergoing changes as the imaging sequence is executed.

Magnetic resonance imaging apparatus and magnetic resonance imaging method

A magnetic resonance imaging apparatus according to an embodiment includes a controller and a generator. The controller divides a plurality of slice regions that are sequentially arranged into a first group including two non-sequential slice regions and a second group including a slice region positioned between the two non-sequential slice regions and acquires data from the slice regions for each of the groups. When acquiring data from at least one of the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position between the two non-sequential slice regions. When acquiring data from the slice region positioned between the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position of at least one of the two non-sequential slice regions.

Magnetic resonance imaging apparatus

A medical-information management system, connected via a network to multiple servers including medical-information memories storing medical information, which manages the medical information by distributing the medical information of multiple medical facilities to the multiple servers, comprises operating-time-information memory, operational-status analysis part, and medical-information transmission part. The operating-time-information memory stores respective operating times of each of multiple servers. The management-information memory stores management information indicating servers in which the medical information is stored. The operational-status analysis part provides notification of other servers other than a first server based on information indicating operating times. The medical-information transmission part determines a second server for temporarily saving the medical information from among the notified other servers, and transmits the medical information to the second server.

Growing community of inventors

Sakura, Japan

Masaaki Nagashima