SYSTEM AND METHOD FOR VASTLY UNDERSAMPLED ISOTROPIC PROJECTION RECONSTRUCTION WITH INVERSION RECOVERY

• US 20140266193A1
• Filed: 03/14/2013
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Original Assignee: Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Inventors: Alexander, Andrew L., Kecskemeti, Steven Ryan
• Granted Patent: US 9,366,740 B2
• Time in Patent Office: Days
• US Class Current: 324/309
• CPC Class Codes: G01R 33/4824 using a non-Cartesian trajectory
• CPC Class Codes: G01R 33/5602 by filtering or weighting based on different relaxation times within the sample, e.g. T1 weighting using an inversion pulse

Abstract

Described here are a system and method for obtaining a time series of images that depict a subject using an inversion recovery (“IR”) pulse sequence with a unique data acquisition scheme that allows for the retrospective identification of an image having an optimal tissue contrast. Data acquisition is performed using a radial acquisition scheme such as, preferably, a vastly undersampled isotropic projection reconstruction (“VIPR”) scheme. Using VIPR and IR, combined with a unique projection ordering, a series of three-dimensional, high spatial resolution images with multiple different image contrasts can be obtained.

Claims

1. A method for producing an image of a subject with a magnetic resonance imaging (MRI) system, the steps of the method comprising:

a) selecting a sampling pattern for sampling k-space, the sampling pattern including a plurality of radial projections in k-space;

b) selecting a view order that defines an order in which radial projections in the selected sampling pattern are to be acquired, the view order being selected such that any group of consecutively acquired radial projections will sample k-space in a substantially uniform distribution;

c) directing the MRI system to apply an inversion recovery (IR) radio frequency (RF) pulse to the subject such that net longitudinal magnetization in the subject is substantially inverted and begins to relax back to equilibrium;

d) directing the MRI system to acquire k-space data while the net longitudinal magnetization is recovering back to equilibrium by sampling k-space in accordance with the selected sampling pattern and the selected view order;

e) forming a data segment by grouping together consecutively acquired radial projections in the acquired k-space data starting with an initial radial projection acquired at an initial time point;

f) reconstructing an image of the subject from the data segment formed in step e), the reconstructed image depicting an image contrast defined by a recovery state of the net longitudinal magnetization at which the radial projections in the data segment were acquired.

2. The method as recited in claim 1 in which:

step e) comprises forming a plurality of data segments, each of the plurality of data segments including consecutively acquired radial projections starting with a different initial radial projection acquired at a different initial time point; and

step f) comprises reconstructing an image of the subject from each of the plurality of data segments formed in step c), each of the reconstructed images depicting a different image contrast defined by a different recovery state of the net longitudinal magnetization at which the radial projections in the respective data segments were acquired.

3. The method as recited in claim 2 in which plurality of data segments formed in step e) define a time series of data segments such that the initial time point of each consecutive data segment differs by one repetition time period.

4. The method as recited in claim 3 in which the repetition time period is about five milliseconds.

5. The method as recited in claim 4 further comprising calculating a longitudinal relaxation time from the images reconstructed in step f).

6. The method as recited in claim 5 in which the longitudinal relaxation time is calculated by fitting signal values in the images to a signal model.

7. The method as recited in claim 2 in which each of the plurality of data segments includes a same number of radial projections.

8. The method as recited in claim 2 in which:

step b) comprises selecting a first view order and a second view order that is different that the first view order, each view order defining an order in which radial projections in the selected sampling pattern are to be acquired and being selected such that any group of consecutively acquired radial projections containing at least a selected number of radial projections will sample k-space in a substantially uniform distribution; and

steps c) and d) are repeated for each view order so as to acquire first k-space data associated with the first view order and second k-space data associated with the second view order.

9. The method as recited in claim 8 in which step e) includes:

selecting an initial time point;

selecting first radial projections by selecting a number of consecutively acquired radial projections in the first k-space data starting with a first initial radial projection acquired at the selected initial time point;

selecting second radial projections by selecting the number of consecutively acquired radial projections in the second k-space data starting with a second initial radial projection acquired at the selected initial time point; and

combining the first radial projections and the second radial projections.

10. The method as recited in claim 1 in which the sampling pattern selected in step a) includes three-dimensional radial projections that sample k-space in three dimensions.

11. A method for producing a plurality of images that depict a spectrum of different image contrasts using a magnetic resonance imaging system, the steps of the method comprising:

a) selecting a sampling pattern for sampling k-space, the sampling pattern including a plurality of radial projections in k-space;

b) selecting a temporal window;

c) determining a view order that defines an order in which radial projections in the selected sampling pattern are to be acquired using the selected temporal window such that any group of consecutively acquired radial projections contained in the temporal window will substantially uniformly sample k-space;

d) directing the MRI system to apply an inversion recovery (IR) radio frequency (RF) pulse to the subject such that net longitudinal magnetization in the subject is substantially inverted and begins to relax back to equilibrium;

e) directing the MRI system to acquire k-space data while the net longitudinal magnetization is recovering back to equilibrium by sampling k-space in accordance with the selected sampling pattern and the selected view order;

f) forming a data segment by grouping together consecutively acquired radial projections in the acquired k-space data using the selected time window;

g) repeating step f) to form a plurality of data segments while sliding the temporal window by a selected time shift during each repetition of step f); and

h) reconstructing a plurality of images that depict a spectrum of different image contrasts from the data segments formed in steps f) and g), the spectrum of different image contrasts being defined by a recovery state of the net longitudinal magnetization at which the radial projections in the data segment associated with a given image were acquired.

12. The method as recited in claim 11 in which the selected time shift is one repetition time period.

13. The method as recited in claim 12 in which the repetition time period is about five milliseconds.

14. The method as recited in claim 11 in which:

step c) comprises selecting a first view order and a second view order that is different that the first view order, each view order being selected using the selected temporal window such that any group of consecutively acquired radial projections contained in the temporal window will substantially uniformly sample k-space; and

steps d) and e) are repeated for each view order so as to acquire first k-space data associated with the first view order and second k-space data associated with the second view order.

15. The method as recited in claim 14 in which step f) includes:

selecting an initial time point;

selecting first radial projections as those radial projections in the first k-space data acquired starting at the selected initial time point and within the temporal window;

selecting second radial projections as those radial projections in the second k-space data acquired starting at the selected initial time point and within the temporal window; and

combining the first radial projections and the second radial projections.

16. The method as recited in claim 11 in which the sampling pattern selected in step a) includes three-dimensional radial projections that sample k-space in three dimensions.