The Effect of Varying Slice Thickness and Interslice Gap on T1 and T2 Measured with the Multidynamic Multiecho Sequence

Purpose: The purpose of our study was to investigate the effect of different slice thicknesses and/or interslice gaps on longitudinal and transverse relaxation times (T1 and T2) measured by a multi-dynamic, multi-echo (MDME) sequence. Materials and Methods: This retrospective study included nine healthy subjects who underwent MDME sequence (at 3T) with four different combinations of slice thicknesses and/or interslice gaps: slice thickness of 4 mm and interslice gap of 0 mm (TH4/G0), TH4/G1, TH5/G0, and TH5/G1. T1 and T2 were measured in various brain regions by a qualified neuroradiologist with 8 years of clinical experience: the frontal white matter (WM), occipital WM, genu, splenium, frontal cortex, thalamus, putamen, caudate head, and cerebrospinal fluid (CSF). The paired samples t-test was used to investigate the effect of different slice thicknesses and interslice gaps (TH4/G0 versus TH4/G1 and TH5/G0 versus TH5/G1). P < 0.013 was considered statistically significant. Results: T2 in all brain regions and T1 in the frontal WM, putamen, and CSF did not significantly change for different slice thicknesses and/or gaps (Ps > 0.013). In addition, T1 in all brain regions of interest did not significantly change between TH4/G0, TH4/G1, TH5/G0 and TH5/G1. However, T1 in some of the brain regions was higher with TH4/G0 than with TH5/G0 (occipital WM, frontal cortex, and caudate head) and with TH4/G1 than with TH5/G1 (occipital WM, genu, splenium and thalamus, all Ps < 0.013). Conclusion: T2 estimated using the MDME sequence was stable regardless of slice thickness or gap. Although the sequence seems to provide stable relaxation values, identical slice thicknesses need to be used for follow-up to prevent potential T1 changes.

[1]  P. Lundberg,et al.  Rapid magnetic resonance quantification on the brain: Optimization for clinical usage , 2008, Magnetic resonance in medicine.

[2]  Michael Erb,et al.  Comparison of longitudinal metabolite relaxation times in different regions of the human brain at 1.5 and 3 Tesla , 2003, Magnetic resonance in medicine.

[3]  J Virhammar,et al.  Quantitative MRI for Rapid and User-Independent Monitoring of Intracranial CSF Volume in Hydrocephalus , 2016, American Journal of Neuroradiology.

[4]  J. Olesen,et al.  In vivo determination of T1 and T2 in the brain of patients with severe but stable multiple sclerosis , 1988, Magnetic resonance in medicine.

[5]  Maolin Qiu,et al.  Factors influencing flip angle mapping in MRI: RF pulse shape, slice‐select gradients, off‐resonance excitation, and B0 inhomogeneities , 2006, Magnetic resonance in medicine.

[6]  M. Bronskill,et al.  T1, T2 relaxation and magnetization transfer in tissue at 3T , 2005, Magnetic resonance in medicine.

[7]  E Petterson,et al.  Evaluation of Automatic Measurement of the Intracranial Volume Based on Quantitative MR Imaging , 2012, American Journal of Neuroradiology.

[8]  Akifumi Hagiwara,et al.  Synthetic MR Imaging in the Diagnosis of Bacterial Meningitis , 2016, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[9]  R. Brooks,et al.  T1 and T2 in the brain of healthy subjects, patients with Parkinson disease, and patients with multiple system atrophy: relation to iron content. , 1999, Radiology.

[10]  Peter Lundberg,et al.  Brain Characterization Using Normalized Quantitative Magnetic Resonance Imaging , 2013, PloS one.

[11]  Neda Bernasconi,et al.  T2 Relaxometry Can Lateralize Mesial Temporal Lobe Epilepsy in Patients with Normal MRI , 2000, NeuroImage.

[12]  Peter Lundberg,et al.  Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths , 2013, PloS one.

[13]  A. MacKay,et al.  In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.

[14]  T. Naidich,et al.  Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial , 2017, American Journal of Neuroradiology.

[15]  P. E. Morris,et al.  Water proton T1 measurements in brain tissue at 7, 3, and 1.5T using IR-EPI, IR-TSE, and MPRAGE: results and optimization , 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

[16]  Örjan Smedby,et al.  Normal Appearing and Diffusely Abnormal White Matter in Patients with Multiple Sclerosis Assessed with Quantitative MR , 2014, PloS one.

[17]  K. Kumamaru,et al.  Synthetic MRI in the Detection of Multiple Sclerosis Plaques , 2017, American Journal of Neuroradiology.

[18]  T Tolxdorff,et al.  Histogram‐based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry , 2000, Magnetic resonance in medicine.

[19]  P. Lundberg,et al.  Novel method for rapid, simultaneous T1, T*2, and proton density quantification , 2007, Magnetic resonance in medicine.

[20]  J N Lee,et al.  Magnetic resonance image synthesis. Clinical implementation. , 1986, Acta radiologica. Supplementum.

[21]  Mark E Bastin,et al.  Measurements of water diffusion and T1 values in peritumoural oedematous brain , 2002, Neuroreport.

[22]  S. Serai,et al.  Clinical validation of synthetic brain MRI in children: initial experience , 2016, Neuroradiology.

[23]  Akifumi Hagiwara,et al.  Contrast-enhanced synthetic MRI for the detection of brain metastases , 2016, Acta radiologica open.

[24]  P Aspelin,et al.  Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study , 2016, American Journal of Neuroradiology.

[25]  K. Kumamaru,et al.  Utility of a Multiparametric Quantitative MRI Model That Assesses Myelin and Edema for Evaluating Plaques, Periplaque White Matter, and Normal-Appearing White Matter in Patients with Multiple Sclerosis: A Feasibility Study , 2017, American Journal of Neuroradiology.

[26]  J N Lee,et al.  Cerebral magnetic resonance image synthesis. , 1985, AJNR. American journal of neuroradiology.

[27]  Martin Gunnarsson,et al.  Accuracy and reproducibility of a quantitative magnetic resonance imaging method for concurrent measurements of tissue relaxation times and proton density. , 2015, Magnetic resonance imaging.

[28]  O Smedby,et al.  Synthetic Mri of the Brain in a Clinical Setting , 2012, Acta radiologica.