Invention Grant
US08354844B2 Method for data acquisition acceleration in magnetic resonance imaging (MRI) with N-dimensional spatial encoding using two or more receiver coil arrays and non-linear phase distributions 有权
使用两个或多个接收器线圈阵列和非线性相位分布进行N维空间编码的磁共振成像(MRI)中的数据采集加速方法

  • Patent Title: Method for data acquisition acceleration in magnetic resonance imaging (MRI) with N-dimensional spatial encoding using two or more receiver coil arrays and non-linear phase distributions
  • Patent Title (中): 使用两个或多个接收器线圈阵列和非线性相位分布进行N维空间编码的磁共振成像(MRI)中的数据采集加速方法
  • Application No.: US12645505
    Application Date: 2009-12-23
  • Publication No.: US08354844B2
    Publication Date: 2013-01-15
  • Inventor: Maxim ZaitsevJuergen Hennig
  • Applicant: Maxim ZaitsevJuergen Hennig
  • Applicant Address: DE Freiburg
  • Assignee: Universitaetsklinikum Freiburg
  • Current Assignee: Universitaetsklinikum Freiburg
  • Current Assignee Address: DE Freiburg
  • Agent Paul Vincent
  • Main IPC: G01V3/00
  • IPC: G01V3/00
Method for data acquisition acceleration in magnetic resonance imaging (MRI) with N-dimensional spatial encoding using two or more receiver coil arrays and non-linear phase distributions
Abstract:
A method for accelerating data acquisition in MRI with N-dimensional spatial encoding has a first method step in which a transverse magnetization within an imaged object volume is prepared having a non-linear phase distribution. Primary spatial encoding is thereby effected through application of switched magnetic fields. Two or more RF receivers are used to simultaneously record MR signals originating from the imaged object volume, wherein, for each RF receiver, an N-dimensional data matrix is recorded which is undersampled by a factor Ri per selected k-space direction. Data points belonging to a k-space matrix which were not recoded by a selected acquisition schema are reconstructed using a parallel imaging method, wherein reference information concerning receiver coil sensitivities is extracted from a phase-scrambled reconstruction of the undersampled data matrix. The method generates a high-resolution image free of artifacts in a time-efficient manner by improving data sampling efficiency and thereby reducing overall data acquisition time.
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