Yasuo Takatsu1,2,3, Masafumi Nakamura4, Hajime Sagawa5, Yuichi Suzuki6, Nobuyuki Mori7, Shunichi Motegi8, and Tosiaki Miyati9
1Department of Radiological Technology, Faculty of Health and Welfare, Tokushima Bunri University, Sanuki-city, Japan, 2Department of System Control Engineering, Graduate School of Engineering, Tokushima Bunri University, Sanuki-city, Japan, 3Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, 4Otsu City Hospital, Otsu, Japan, 5Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto, Japan, 6Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan, 7Department of Radiology, Osaka Red Cross Hospital, Osaka, Japan, 8Department of Radiological Sciences, International University of Health and Welfare, Ohtawara, Japan, 9Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University., Kanazawa, Japan
Synopsis
We performed echo planar imaging (EPI) and
turbo spin echo (TSE) diffusion-weighted imaging (DWI) using magnetic resonance
imaging to obtain basic clinical data of the apparent diffusion coefficient
(ADC) in 26 parts of normal brains and compared the datasets using our
retrospective distortion correction technique. The ADC was
significantly higher measured by EPI-DWI than by TSE-DWI. The signal-to-noise ratio of EPI-DWI was
significantly higher than that of the TSE-DWI. Care must be taken when measuring ADCs near the base of
the skull, such as the brain stem, where the SNR of the imaging technique is
likely to decrease or distort.
Background
Diffusion-weighted imaging (DWI) in magnetic resonance
imaging (MRI) is useful for acute cerebral infarction [1] and tumor
characterization [2]. The apparent diffusion
coefficient (ADC) is useful for distinguishing between restricted diffusion in
the tissue and tissue perfusion in DWI [3, 4] for acute stroke [5], multiple
sclerosis [6], and tumor assessments [7]. To evaluate ADC in the lesion area, normal values should
be recognized. Therefore, normal values of ADC in each part of the brain have
been reported [8]. However, echo planar imaging (EPI)-DWI tends to have
artifacts (e.g., geometric distortion and susceptibility artifacts) due to inhomogeneous
magnetic field and line phase discrepancies in k-space, which affects the ADC [9].
When the diffusion gradients are switched on and off, the time-varying magnetic
field results in current induction (i.e., eddy currents), which lead to inhomogeneity
in the magnetic field [9]. Therefore, fast spin echo (FSE)-DWI, which has
advantage for the inhomogeneity in the magnetic field, is used. [10]
Furthermore, comparisons of the ADCs between EPI-DWI and
FSE-DWI have been reported [11-13], and the results from the different studies
showed no significant difference [11], no significant difference except for the
tongue in the oral cavity [12], and higher lung lesion values in TSE-DWI than in
EPI-DWI [13].
Therefore, it is important to recognize the difference
between the EPI- and FSE-ADC; however, a problem is that the positions of the regions
of interest (ROIs) do not always match when comparing these DWIs due to image distortion.
The normal data, as a reference, may be required to
confirm an abnormality. Measuring ADCs in EPI- and TSE-DWI with our
retrospective distortion correction technique[14] can provide reference clinical data acquisition. Therefore, ADCs in
various parts of the brain were measured by EPI- and TSE-DWI and reference normal data were then extracted and compared.Methods
The study
received approval from the Institutional Review
Board.
The normal brains of 32 patients who underwent health
check were scanned on a 1.5-T MRI instrument using EPI- and TSE-DWI (Fig. 1).
Distortion was corrected by (1) segmentation: the b0 images
were segmented based on the plural threshold values; (2) edge detection: the edge was detected in
the images obtained in step (1); (3) non-rigid image registration: non-rigid
image registration using Demons algorithm was achieved between the b0 images of
EPI-DWI and TSE-DWI, thereby, creating a displacement field; (4) image warp:
the displacement field was applied to the b1000 image to warp.
MATLAB numerical analysis software (version
2018a; MathWorks, Inc., Massachusetts, USA) was used for the distortion
correction.
Twenty-six parts of the brain (Pons, Middle
Cerebellar Peduncle [MCP], Dentate Nucleus [DN], Pedunculus Cerebri [PC], Hippocampus,
Temporal Lobes [TL], Tegmentum of Midbrain [TM], Genu of the Corpus Callosum [GCC],
Putamen, Globus Pallidus [GP], Thalami, Occipital Lobes [OL], Splenium of the
Corpus Callosum [SCC], Frontal Deep White Matter [FDWM], Parietal Deep white Matter
[PDWM]) were measured from the images of b0 and
b1000.
ROIs were set by two
radiological technologists with 18 and 20 years of experience in MRI. Based on
the consensus of both technologists, the ROIs were carefully set while
referring to b0. The ROIs of EPI- and TSE-DWI were carefully measured at the
same location of the same size so as not to contaminate other tissues, such as cerebrospinal
fluid (CSF) (Fig. 2) The ROI volumes ranged from
approximately 14 to 52 mm^2 (average, 29.8 ± 11.8 mm^2) The
software used was ImageJ v.1.52 (National Institute of Health, Bethesda, MD,
USA) for signal intensity (SI) measurement.
ADCs were calculated according to the
following formula:
ADC = –ln (S1000/S0) / (b1000–b0),
where S1000 is the signal value when the
b-value is 1000 s/mm2 (b1000), and S0 is the signal value when the
b-value is 0 s/mm2 (b0).
The signal-to-noise
ratio (SNR) of the cerebrospinal fluid was measured to identify the cause of
the difference between the two sequences. These were compared using Wilcoxon
paired rank test (P = 0.05). EZR
software (version 1.42; Jichi Medical University Saitama Medical Center,
Saitama, Japan) was used for statistical analysis.Results
There was a significant difference in the ADC
results, especially in the brain stem, between the two imaging sequences, with the
ADC from EPI-DWI significantly higher than the ADC from TSE-DWI (P <
0.05). ADC showed high TSE-DWI in some parts of the brain, such as
in globus pallidus and hippocampus; however, the difference was slight. (Fig. 2
and 3)
The median (interquartile range [IQR]) values
for SNRs were as follows: EPI-DWI Right, 35.06 (21.49); Left, 40.19 (28.85); FSE-DWI Right, 25.85 (18.30); and Left, 31.46 (17.32). The Wilcoxon
signed-rank test showed that the SNR was
significantly higher for EPI-DWI than for TSE-DWI (P < 0.01)Conclusion
ADCs in various parts of the brain were measured by EPI-
and TSE-DWI, and basic normal data were extracted and compared. Care is needed
when measuring ADCs near the base of the skull, such as the brain stem, where the
SNR is likely to decrease or distort.Acknowledgements
Nothing in particular.References
[1] Van Everdingen KJ, van der Grond J, Kappelle LJ,
Ramos LM, Mali WP, Diffusion-weighted magnetic resonance imaging in acute
stroke, Stroke. 29 (1998) 1783–1790.
[2] Barajas RF,
Cha S, Metastasis in Adult Brain Tumors, Neuroimaging Clin. 26
(2016) 601–620.
[3] Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet
M, MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in
neurologic disorders, Radiology. 161 (1986) 401–407.
[4] Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet
M, Separation of diffusion
and perfusion in intravoxel incoherent motion MR imaging, Radiology. 168 (1988)
497–505.
[5]
Warach S, Chien D, Li W, Ronthal M, Edelman R, Fast magnetic resonance
diffusion-weighted imaging of acute human stroke, Neurology. 42 (1992)
1717–1723.
[6] Roychowdhury S, Maldjian JA, Grossman RI, Multiple
sclerosis: comparison of trace apparent diffusion coefficients with MR
enhancement pattern of lesions, Am J Neuroradiol. 21 (2000) 869–874.
[7] Hayashida Y1,
Hirai T, Morishita S, Kitajima M, Murakami R, Korogi Y, Makino K, Nakamura H,
Ikushima I, Yamura M, Kochi M, Kuratsu JI, Yamashita Y, Diffusion-weighted
imaging of metastatic brain tumors. comparison with histologic type and tumor
cellularity, Am J Neuroradiol. 27 (2006) 1419–1425.
[8] Naganawa S, Sato K, Katagiri T, Mimura T, Ishigaki T, Regional ADC values of the normal brain: differences due to age, gender, and laterality,
Eur Radiol. 13 (2003) 6–11.
[9] Le Bihan D, Poupon C, Amadon A,
Lethimonnier F. Artifacts and pitfalls in diffusion MRI.
J Magn Reson Imaging. 24 (2006) 478–488.
[10] Baltzer PA, Renz DM, Herrmann KH,
Dietzel M, Krumbein I, Gajda M, Camara O, Reichenbach JR, Kaiser WA, Diffusion-weighted imaging (DWI) in MR mammography (MRM):
clinical comparison of echo planar imaging (EPI)
and half-Fourier single-shot turbo spin echo (HASTE) diffusion
techniques, Eur Radiol. 19 (2009) 1612–1620.
[11] Mikayama R,
Yabuuchi H, Sonoda S, Kobayashi K, Nagatomo K, Kimura M, Kawanami S, Kamitani
T, Kumazawa S, Honda H, Comparison of intravoxel incoherent motion diffusion-weighted imaging between turbo spin-echo and echo-planar imaging of the head and neck, Eur Radiol. 28 (2018) 316–324.
[12] Hirata K, Nakaura
T, Okuaki T, Kidoh M, Oda S, Utsunomiya D, Namimoto T, Kitajima M, Nakayama H,
Yamashita Y, Comparison of the image quality of turbo spin echo- and echo-planar diffusion-weighted images of the oral cavity, Medicine
(Baltimore). 97 (2018) e0447.
[13] Wan Q, Lei Q, Wang P, Hu J, Zhang T, Yu D, Li X,
Liang C, Intravoxel incoherent motion diffusion-weighted imaging of lung cancer: comparison
between turbo spin-echo
and echo-planar imaging,
J Comput Assist Tomogr. 44 (2020) 334–340.
[14]
Takatsu Y, Sagawa H, Nakamura M, Suzuki Y, Miyati T, Novel distortion
correction method for diffusion-weighted imaging
based on non-rigid image registration between low b value image and anatomical
image, Magn Reson Imaging. 57 (2019) 277–284.