Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
Magn Reson Med. 2024 Feb;91(2):630-639. doi: 10.1002/mrm.29865. Epub 2023 Sep 14.
Volumetric, high-resolution, quantitative mapping of brain-tissue relaxation properties is hindered by long acquisition times and SNR challenges. This study combines time-efficient wave-controlled aliasing in parallel imaging (wave-CAIPI) readouts with the 3D quantification using an interleaved Look-Locker acquisition sequence with a T preparation pulse (3D-QALAS), enabling full-brain quantitative T , T , and proton density (PD) maps at 1.15-mm isotropic voxels in 3 min.
Wave-CAIPI readouts were embedded in the standard 3D-QALAS encoding scheme, enabling full-brain quantitative parameter maps (T , T , and PD) at acceleration factors of R = 3 × 2 with minimum SNR loss due to g-factor penalties. The quantitative parameter maps were estimated using a dictionary-based mapping algorithm incorporating inversion efficiency and B -field inhomogeneity effects. The parameter maps using the accelerated protocol were quantitatively compared with those obtained from the conventional 3D-QALAS sequence using GRAPPA acceleration of R = 2 in the ISMRM/NIST phantom, and in 10 healthy volunteers.
When tested in both the ISMRM/NIST phantom and 10 healthy volunteers, the quantitative maps using the accelerated protocol showed excellent agreement against those obtained from conventional 3D-QALAS at R = 2.
Three-dimensional QALAS enhanced with wave-CAIPI readouts enables time-efficient, full-brain quantitative T , T , and PD mapping at 1.15 mm in 3 min at R = 3 × 2 acceleration. The quantitative maps obtained from the accelerated wave-CAIPI 3D-QALAS protocol showed very similar values to those from the standard 3D-QALAS (R = 2) protocol, alluding to the robustness and reliability of the proposed method.
容积、高分辨率、脑组织结构弛豫特性的定量映射受到采集时间长和 SNR 挑战的限制。本研究结合了高效的波控混叠并行成像(wave-CAIPI)读出技术和使用带 T 准备脉冲的 3D 定量 Look-Locker 采集序列(3D-QALAS)进行 3D 定量,能够在 3 分钟内以 1.15mm 的各向同性体素获得全脑定量 T1、T2 和质子密度(PD)图。
将 wave-CAIPI 读出技术嵌入到标准的 3D-QALAS 编码方案中,在最小 SNR 损失的情况下,利用 g 因子惩罚的全脑定量参数图(T1、T2 和 PD),加速因子 R=3×2。使用基于字典的映射算法来估计定量参数图,该算法包含反转效率和 B 场不均匀性的影响。使用加速协议获得的参数图与在 ISMRM/NIST 体模和 10 名健康志愿者中使用 GRAPPA 加速 R=2 的常规 3D-QALAS 序列获得的参数图进行定量比较。
在 ISMRM/NIST 体模和 10 名健康志愿者中进行测试时,加速协议获得的定量图与常规 3D-QALAS 在 R=2 时获得的定量图具有极好的一致性。
通过增强 wave-CAIPI 读出技术的 3D-QALAS 能够在 3 分钟内以 1.15mm 的分辨率,在 R=3×2 加速时实现高效、全脑定量 T1、T2 和 PD 映射。加速的 wave-CAIPI 3D-QALAS 协议获得的定量图与标准 3D-QALAS(R=2)协议获得的定量图非常相似,这表明了所提出方法的稳健性和可靠性。