Granted Patent B2

US 12,405,332 · App. 18/175,700 · Granted Sep 2, 2025

Inventors: Wolfgang G. Rehwald (Chapel Hill, NC); Raymond J. Kim (Chapel Hill, NC); Enn-Ling Chen (Chapel Hill, NC); David C. Wendell (Durham, NC)

Assignees: Siemens Healthineers AG; Duke University

G01R33/4818G01R33/5602G01R33/5676

Abstract

Claims (58)

1. A method for reordering k-space data acquired with a segmented MRI pulse sequence, the method comprising:

synchronizing to a physiologic signal of a heart or vessel, to a respiratory signal, or to an external trigger source; and

acquiring a plurality of data collecting segments each as a contiguous block in a phase encoding direction such that lines of the plurality of data collecting segments are alternately acquired in a forward direction, wherein the lines are acquired in order from a first line to last line, and a reverse direction, wherein the lines are acquired in order from the last line to the first line, for each consecutive data collecting segment,

wherein the plurality of data collecting segments covers all k-space locations.

2. The method of claim 1 , further comprising:

acquiring a dummy segment prior to acquiring each data collecting segment using a same timing and flip angle as for the data collecting segment; and

discarding the dummy segment.

3. The method of claim 2 , wherein the acquiring the dummy segment includes acquiring the dummy segment such that a flip angle of the dummy segment equals the flip angle of the data collecting segment multiplied by the ratio of a number of lines of the data collecting segment to a number of lines of the dummy segment.

4. The method of claim 2 , wherein the acquiring the dummy segment includes using an increasing flip angle ending at a flip angle used for acquiring the plurality of data collecting segments.

5. The method of claim 2 , wherein the acquiring the dummy segment includes using a decreasing flip angle starting from a flip angle that is larger than a flip angle used for acquiring the plurality of data collecting segments.

6. The method of claim 1 , further comprising:

acquiring a respiratory navigator echo.

7. The method of claim 1 , further comprising:

acquiring a motion assessment and magnetic conditioning segment (MACS) prior to acquiring each data collecting segment using a same timing and flip angle as for the data collecting segment;

reconstructing each MACS into a position reference image; and

associating each data collecting segment of the plurality of data collecting segments with a position reference image acquired in a same shot as the respective data collecting segment.

8. The method of claim 7 , wherein the acquiring the plurality of data collecting segments includes:

acquiring a data collecting segment of the plurality of data collecting segments R times for each of N locations in k-space, where R is greater than 1 and less than 10 and N*R data collecting segments are acquired in total;

comparing all N*R position reference images associated with the N*R data collecting segments to an optimal position reference image;

for each of the R data collecting segments of a first k-space location, determining one data collecting segment associated with a minimum difference between the associated position reference image and the optimal position reference image;

repeating the determining the one data collecting segment for all other k-space locations; and

discarding remaining N*(R−1) out of the N*R data collecting segments.

9. The method of claim 8 , further comprising:

determining the optimal position reference image as an average of all acquired position reference images.

10. The method of claim 8 , further comprising:

determining the optimal position reference image by

calculating an average image of all acquired position reference images and creating subtraction images by subtracting the average image from each acquired position reference image,

calculating a pixel sum for each subtraction image to obtain a pixel sum difference for each position reference image, and

determining a position reference image associated with a minimum pixel sum difference as the optimal position reference image.

11. The method of claim 8 , further comprising:

obtaining a motion correction field for each data collecting segment of the plurality of data collecting segments based on the associated position reference image and the optimal position reference image;

placing each data collecting segment that has not been discarded in a zero-filled k-space;

transforming the k-space into a partial image of complex pixel values;

performing a motion correction on the partial image by applying the associated motion correction field; and

creating a final motion corrected image by combining a plurality of motion corrected partial images.

12. The method of claim 7 , wherein the acquiring the plurality of data collecting segments includes:

acquiring a first data collecting segment of the plurality of data collecting segments for S seconds;

creating an optimal position reference image for all data collecting segments by averaging all associated position reference images of the first data collecting segment;

determining a first data collecting segment associated with a smallest difference between the associated position reference image and the optimal position reference image;

discarding all other data collecting segments;

repeating the acquiring each data collecting segment until a difference between the associated position reference image and the optimal position reference image is below a threshold; and

ending the acquiring in response to all segments being acquired.

13. The method of claim 7 , wherein the acquiring follows long-term averaging.

14. The method of claim 7 , wherein the acquiring follows short-term averaging.

15. The method of claim 7 , wherein the acquiring includes using a gradient echo sequence to acquire the plurality of data collecting segments and the plurality of MACS.

16. The method of claim 7 , wherein the acquiring includes using a steady state free pression sequence to acquire the plurality of data collecting segments and the plurality of MACS.

17. The method of claim 7 , wherein the acquiring includes using a turbo-spin echo sequence to acquire the plurality of data collecting segments and the plurality of MACS.

18. The method of claim 1 , wherein an inversion preparation is a spatially non-selective inversion recovery pulse.

19. The method of claim 1 , wherein an inversion-preparation is a spatially selective inversion recovery pulse.

20. The method of claim 1 , wherein an inversion-preparation is a wideband inversion recovery pulse.

21. The method of claim 1 , wherein an inversion-preparation is a double-IR dark-blood preparation.

22. The method of claim 1 , further comprising:

applying a magnetization transfer preparation before or after an inversion-preparation to produce a flow independent dark blood delated enhancement (FIDDLE) image.

23. The method of claim 1 , further comprising:

applying a T2-preparation before or after an inversion-preparation to produce a flow independent dark blood delated enhancement (FIDDLE) image.

24. A method for providing a segmented MRI pulse sequence configured to acquire inversion recovery prepared data and reference data for reconstructing a phase sensitive inversion recovery (PSIR) image, the method comprising:

acquiring the inversion recovery prepared data by acquiring a plurality of data collecting segments as a contiguous block in a phase encoding direction such that lines of the plurality of data collecting segments are alternately acquired in a forward order and a reverse order for each consecutive data collecting segment; and

acquiring the reference data without magnetic preparation.

Assignments (4)

Continuity (2)

References Cited (29)