Magnetic resonance imaging using 3D spoiled gradient-recalled sequence

Abstract

A method for magnetic resonance imaging (MRI) performs a spoiled gradient-recalled (SPGR) MRI scan with an MRI scanner to produce MRI data; and reconstructs an MRI image from the MRI data; wherein performing the SPGR MRI scan comprises playing an interleaved-randomized spoiler (IRS) gradient after every M-th acquisition block, where M≥2, and where an absolute area of the IRS gradient of each IRS is randomized between zero and a maximum gradient area achievable on the MRI scanner.

Claims

1. A method for magnetic resonance imaging (MRI) comprising: performing a spoiled gradient-recalled (SPGR) MRI scan with an MRI scanner to produce MRI data; and reconstructing an MRI image from the MRI data; wherein performing the SPGR MRI scan comprises playing an interleaved-randomized spoiler (IRS) gradient after every M-th acquisition block, where M≥2, and where an absolute area of the IRS gradient of each IRS is randomized between zero and a maximum gradient area achievable on the MRI scanner.

2. The method of claim 1 wherein a rewinder and a spoiler gradient are not played at the end of each TR.

3. The method of claim 1 wherein the interleaved-randomized spoiler (IRS) gradient sequence is a turbo-cones sequence.

4. The method of claim 1 wherein the interleaved-randomized spoiler (IRS) gradient sequence is a cartesian SPGR based sequence.

5. The method of claim 1 wherein the interleaved-randomized spoiler (IRS) gradient sequence is a non-cartesian SPGR based sequence.

6. The method of claim 1 wherein the interleaved-randomized spoiler (IRS) gradient sequence is a radial SPGR based sequence.

7. The method of claim 1 wherein the absolute area of the IRS gradient of each IRS is randomized between half and full of the maximum gradient area achievable on the MRI scanner.

8. The method of claim 1 wherein performing the SPGR MRI scan comprises using a phyllotaxis trajectory ordering that rotates cones to interleave sequentially and then rotates a large golden angle.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0011] FIGS. 1A-1C illustrate an interleaved-randomized spoiler (IRS) technique. FIG. 1A shows conventional 3D-cones sequence. FIG. 1B shows turbo-cones which have the rewinder and spoiler gradients removed. FIG. 1C shows an interleaved-randomized spoiler (IRS) turbo-cones sequence in which the spoiler gradient amplitude is randomized and played every M acquisition blocks, according to an embodiment of the invention.

[0012] FIGS. 2A-2C are graphs illustrating phyllotaxis ordering of the k-space trajectory used in an example study. FIG. 2A shows how a set of cones interleaves rotates sequentially. FIG. 2B shows how it rotates a large golden angle (137.5 degree) for the next set of readout lines. FIG. 2C shows a final k-space trajectory uniformly sampled.

[0013] FIGS. 3A-3C are phantom images acquired using the default cones (FIG. 3A), turbo-cones (FIG. 3B) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 3C), respectively.

[0014] FIGS. 4A-4C are liver images acquired from a healthy subject using the default cones (FIG. 4A), turbo-cones (FIG. 4B) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 4C), respectively.

[0015] FIGS. 5A-5F are contrast-enhanced images from the liver and bowel using the default cones (FIG. 5A, FIG. 5D), turbo-cones (FIG. 5B, FIG. 5E) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 5C, FIG. 5F) from two patients, respectively.

DETAILED DESCRIPTION OF THE INVENTION

[0016] Described herein is an MRI imaging technique exploiting interleaved-randomized spoilers (IRS) in the 3D-cones sequence. The SPGR sequence relies on randomized RF phase and spoiling gradient (i.e., spoiler) after the readout gradient to destroy the residual magnetization that can cause severe image artifacts. This technique allows more efficient SPGR (i.e., shorten acquisition time) without introducing any image artifacts.

[0017] The technique is implemented as part of a method for magnetic resonance imaging (MRI) using an MRI scanner. A spoiled gradient-recalled (SPGR) MRI acquisition is performed to produce MRI data, and an MRI image is reconstructed from the is acquired MRI data. The SPGR MRI scan comprises playing an interleaved-randomized spoiler (IRS) gradient after every M-th acquisition block, where M≥2, and where an absolute area of the IRS gradient of each IRS is randomized between zero and maximum gradient area available.

[0018] In a preferred embodiment, the technique is implemented using IRS turbo-cones. Although IRS turbo-cones are illustrated here as an example trajectory, it is noted that the technique may be used with any SPGR-based sequence. including radial, spiral, and conventional Cartesian.

[0019] As shown in FIG. 1A, in a conventional 3D-cones sequence, a rewinder 100 and spoiler gradient 102 is played at the end of each TR to avoid image artifact arising from the unspoiled transverse magnetization signal.

[0020] As shown in FIG. 1B, removing the rewinder and spoiler gradients in the conventional 3D-cones sequences (FIG. 1A) can substantially increase the scan speed (i.e., reduce acquisition time), but at the cost of severe artifacts.

[0021] Herein is described a technique to overcome this problem with the sequences shown in FIG. 1A and FIG. 1B. As shown in FIG. 1C, to effectively destroy the residual transverse magnetization, an interleaved-randomized spoiler (IRS) is implemented. In the IRS turbo-cones sequence shown in FIG. 1C, the spoiler gradient amplitude 104, 106 is randomized and played every M acquisition blocks (where M is an integer equal to at least 2). In doing so, only N/M spoilers are required, assuming N acquisition blocks are needed to achieve full sampling, which can effectively avoid image artifacts while substantially shortening the scan times.

[0022] The larger the area of the spoiler gradient is, the better effect it can achieve to destroy the residual transverse magnetization. But practically, it cannot be too large, because it increases the scan time. In one implementation, the area (i.e., integral of magnitude over time) of the gradient of each IRS 104, 106 is randomized between zero and the maximum gradient area available, or more preferably between half the maximum and the maximum of the largest gradient available. More generally, it is randomized between zero and the gradient area required to perform adequate spoiling (Asp), or more preferably between Asp/2 and Asp.

[0023] The phase dispersion (Δφ) across a voxel is:

Δφ=γA.sub.spΔr

Where γ is the gyromagnetic ratio, and A.sub.sp is the spoiler gradient area, and Δr is the voxel dimension along the spoiling gradient direction. The minimal phase dispersion required to spoil the unwanted transverse magnetization is typically determined by experiments. For most applications, the minimal phase dispersion must be greater than 2π across an image voxel. Also, please note that the required spoiler gradient area Asp is inversely related to the voxel size.

[0024] The randomized spoiler can prevent the residual transverse magnetization from reaching a steady state, which cannot form a conceivable signal in the image. Therefore, the image artifact can be effectively reduced while shortening the acquisition time. The optimal series of spoiler gradients may be found by using Bloch simulations to make it more applicable in-clinic use.

[0025] Phyllotaxis K-space Trajectory Ordering

[0026] The feasibility of using the IRS turbo-cones pulse sequence in MRI acquisition was validated on patients. Contrast-enhanced liver and bowel images acquired using IRS turbo-cones were very close to the images acquired using default cones but with 17.3% reduced acquisition time, without any image artifacts. The feasibility of the method was validated on water phantom (in vitro), healthy subjects, and patients.

[0027] In addition to the IRS mechanism, embodiments of the invention may use a phyllotaxis k-space trajectory ordering in analogy to the arrangement of leaves on a stem, as illustrated in FIGS. 2A-2C. Conventional 3D-cones sequence uses a golden angle k-space trajectory ordering, where the cones interleave rotates −222.5° each time to achieve a uniformly sampled k-space. In contrast, according to embodiments of the present invention, a phyllotaxis trajectory ordering rotates the cones to interleave sequentially for a few lines and then rotates a large golden angle (˜137.5°) for the next set of readout lines. In doing so, the final k-space trajectory will also uniformly sample the k-space as in the golden angle ordering. Additionally, because the readout gradient itself can partially serve as the spoiling gradient, the readout gradients in the set of sequentially rotated cones interleaves together can achieve better spoiling effect than in a set of large golden angle rotations.

[0028] For example, a set of cones interleaves rotates sequentially (FIG. 2A), then rotates a large golden angle (˜137.5°) for the next set of readout lines (FIG. 2B), similar to the arrangement of leaves on a stem. The final k-space trajectory (FIG. 2C) is uniformly sampled, as in the golden angle ordering, but can more effectively destroy the residual transverse magnetization.

[0029] Data Acquisition and Analysis

[0030] In one example implementation, the IRS turbo-cones sequence (FIGS. 1A-1C) acquisition was performed by a 3T GE MR750/Premier scanner (GE Healthcare, Waukesha, Wis.). The feasibility of the sequence was first validated on a water phantom. Then free-breathing abdominal images were acquired using IRS turbo-cones from six healthy human subjects and four patients (4 y to 34 y, mean age: 19.9±12.7 years old). Images were also acquired using default 3D-cones and turbo-cones as a comparison. In patients, post-contrast images were acquired after administration of ferumoxytol as intravenous contrast, which remains in the blood pool for many hours, and thus enables comparison between successively run sequences.

[0031] The key sequence parameters for both phantom imaging and in-vivo imaging were as follows: slice thickness was 3 mm, FOV was 36 cm×36 cm×18 cm, matrix was 320×320×120, flip angel was 15°, TE was 0.6 ms, TR was 5 ms, 2.7 ms and 2.7 ms, and acquisition time was 2:20, 1:34 and 1:52 for default 3D-cones, turbo-cones, and IRS turbo-cones, respectively. After acquiring the k-space data, images were reconstructed offline using a custom Python program based on the gridding algorithm (non-uniform FFT) provided in BART. Any basic NUFFT or advanced reconstruction methods can be used to reconstruct an image from the acquired k-space data.

[0032] Results

[0033] As shown in FIGS. 3A-3C, phantom images acquired using turbo-cones sequence without any spoiler gradient exhibit severe artifacts, whereas the images acquired using IRS turbo-cones were free from artifacts. Specifically, the figures show phantom images acquired using the default cones (FIG. 3A), turbo-cones (FIG. 3B) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 3C), respectively. The residual transversal magnetization can be effectively destroyed using IRS as demonstrated on the phantom images.

[0034] A similar result was observed in T1-weighted liver images of healthy subjects, where IRS turbo-cones showed similar image quality as default 3D cones sequence despite a shorter acquisition time of about 20% (FIGS. 4A-4C). The feasibility of IRS turbo-cones was further validated on patients (FIGS. 5A-5F). Again, the contrast-enhanced liver and bowel images acquired using IRS turbo-cones were very close to the images acquired using default cones but with 17.3% reduced acquisition time.

[0035] FIGS. 4A-4C show liver images acquired from a healthy subject using the default cones (FIG. 4A), turbo-cones (FIG. 4B) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 4C), respectively. The IRS turbo-cones provides similar image quality compared with the fully spoiled 3D cones sequence, despite a 20% reduction of the acquisition time. The image from unspoiled turbo-cones is corrupted by artifact.

[0036] FIGS. 5A-5F show contrast-enhanced images from the liver and bowel using the default cones (FIG. 5A, FIG. 5D), turbo-cones (FIG. 5B, FIG. 5E) and interleaved randomized spoiler (IRS) turbo-cones (FIG. 5C, FIG. 5F) from two patients (5 yo, female and 19 yo, male), respectively. The acquisition time was 2:20, 1:34 and 1:52 for default cones, turbo-cones, and IRS turbo-cones, respectively. Compared with default cones, IRS turbo-cones reduces scan time by 17% with similar image quality, whereas the unspoiled turbo-cones can save 30% scan time, but with severe image artifacts. The red arrow indicates an area of bowel inflammation.

Discussion and Conclusion

[0037] Application of an interleaved-randomized spoiler to 3D cones results in a 20% scan time reduction with minimal residual artifact in free-breathing abdominal imaging. These results show that interleaved randomized spoiler together with the phyllotaxis ordering is a viable approach that can effectively destroy transverse is magnetization while shortening the TR. The time saved from reduced acquisition time could be translated to higher spatial resolution or faster scans. The same approach can also be extended to other trajectories such as cartesian or radial SPGR based sequences and is not limited to 3D-cones.