Diffusion model data acquisition method for magnetic resonance imaging system, and magnetic resonance imaging method

• US 10,132,901 B2
• Filed: 12/30/2015
• Issued: 11/20/2018
• Est. Priority Date: 12/30/2014
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens Healthcare GMBH (Siemens AG)
• Inventors: Liu, Hui, Yan, Xu
• Primary Examiner(s): Patel, Rishi
• Application Number:
  US14/983,681
• Publication Number:
  US 20160187443A1
• Time in Patent Office: 1,056 Days
• CPC Class Codes: G01R 33/543 Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription G01R33/546 takes precedence
• CPC Class Codes: G01R 33/56341 Diffusion imaging

Abstract

In a method for acquiring MR diffusion data, in a control computer of an MRI system, multiple individual data sets, respectively corresponding to multiple diffusion models, are defined and combined to form a combined data set. Each of said individual data sets is comprised of multiple diffusion image individual data subsets that are to be acquired on one or more specific shells, respectively, and in one or more gradient directions, respectively. Different specific shells among the multiple shells have different diffusion factors. The control computer then operates the MRI system, namely the data acquisition scanner thereof, in order to acquire MR data corresponding to the defined combined data set.

Claims

1. A method for acquiring magnetic resonance (MR) data, comprising:

in a control computer of an MR imaging system, defining multiple individual data sets, respectively corresponding to multiple diffusion models, with each of said individual data sets being comprised of multiple diffusion image individual data subsets that are to be acquired on one or more specific shells, respectively, and in one or more gradient directions, respectively, and with different specific shells among the multiple shells having different diffusion factors;

defining the combined data set by combining a number of the diffusion image individual data subsets to be acquired on a number of adjacent shells in a number of the individual data sets to form a number of second diffusion image combined data subsets to be acquired on a normalized shell in the combined data set, with the number of second diffusion image combined data subsets is greater than or equal to the maximum value of numbers of the diffusion image individual data subsets acquired on the adjacent shells in each of the individual data sets, the specific shell including the adjacent shells; and

from the control computer, operating a data acquisition scanner of the MR imaging system in order to acquire MR data corresponding to the defined combined data set, and making the acquired MR data available in electronic form from the control computer as an MR data file.

2. The method as claimed in claim 1, wherein the difference in said diffusion factors of any two of a plurality of said adjacent shells is less than or equal to a first threshold, or the difference between a maximum value and a minimum value of said diffusion factors in a plurality of said adjacent shells is less than or equal to a second threshold.

3. The method as claimed in claim 1, wherein said diffusion factor of said normalized shell is one of the mean or the median of said diffusion factors of a plurality of said adjacent shells.

4. The method as claimed in claim 1, wherein said acquisition step comprises:

using a plurality of said gradient directions which are uniformly distributed to acquire a plurality of diffusion image individual data on a specific shell in said combined data set.

5. The method as claimed in claim 1, comprising, in a reconstruction computer, reconstructing at least one diffusion image from data in the MR data file according to at least one of the diffusion models, and making the reconstructed diffusion image available in electronic from the reconstruction computer as an image data file.