Simultaneous perfusion, diffusion, T2*, and T1 mapping with MR fingerprinting

重复性 磁共振成像 参数统计 灌注 有效扩散系数 核医学 灌注扫描 冲程(发动机) 核磁共振 磁共振弥散成像 扩散成像 扩散 模式识别(心理学) 计算机科学 人工智能 医学 化学 数学 物理 放射科 统计 色谱法 热力学
作者
Hongli Fan,Lisa Bunker,Z. Wang,Alexandra Zezinka Durfee,Doris Lin,Vivek Yedavalli,Yulin Ge,Xiaohong Joe Zhou,Argye E. Hillis,Hanzhang Lu
出处
期刊:Magnetic Resonance in Medicine [Wiley]
卷期号:91 (2): 558-569 被引量:3
标识
DOI:10.1002/mrm.29880
摘要

Abstract Purpose Quantitative mapping of brain perfusion, diffusion, T 2 *, and T 1 has important applications in cerebrovascular diseases. At present, these sequences are performed separately. This study aims to develop a novel MRI technique to simultaneously estimate these parameters. Methods This sequence to measure perfusion, diffusion, T 2 *, and T 1 mapping with magnetic resonance fingerprinting (MRF) was based on a previously reported MRF‐arterial spin labeling (ASL) sequence, but the acquisition module was modified to include different TEs and presence/absence of bipolar diffusion‐weighting gradients. We compared parameters derived from the proposed method to those derived from reference methods (i.e., separate sequences of MRF‐ASL, conventional spin‐echo DWI, and T 2 * mapping). Test–retest repeatability and initial clinical application in two patients with stroke were evaluated. Results The scan time of our proposed method was 24% shorter than the sum of the reference methods. Parametric maps obtained from the proposed method revealed excellent image quality. Their quantitative values were strongly correlated with those from reference methods and were generally in agreement with values reported in the literature. Repeatability assessment revealed that ADC, T 2 *, T 1 , and B 1 + estimation was highly reliable, with voxelwise coefficient of variation (CoV) <5%. The CoV for arterial transit time and cerebral blood flow was 16% ± 3% and 25% ± 9%, respectively. The results from the two patients with stroke demonstrated that parametric maps derived from the proposed method can detect both ischemic and hemorrhagic stroke. Conclusion The proposed method is a promising technique for multi‐parametric mapping and has potential use in patients with stroke.

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