Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
Magnetic Resonance Materials in Physics, Biology and Medicine
Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 5/2019

Open Access 01-10-2019 | Magnetic Resonance Imaging | Research Article

Development of anisotropic phantoms using wood and fiber materials for diffusion tensor imaging and diffusion kurtosis imaging

Authors: Masashi Suzuki, Susumu Moriya, Junichi Hata, Atsushi Tachibana, Atsushi Senoo, Mamoru Niitsu

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 5/2019

Login to get access

Abstract

Objective

Several studies have demonstrated that anisotropic phantoms can be utilized for diffusion magnetic resonance imaging. The purpose of our study was to examine whether wood is suitable as an anisotropic phantom material from the viewpoints of affordability and availability. In the current study, wood was used for restricted diffusion, and fibers were used for hindered diffusion.

Materials and methods

Wood and fiber phantoms were made. Diffusion kurtosis images were acquired with three magnetic resonance scanners. Fractional anisotropy, radial diffusivity, axial diffusivity, radial kurtosis and axial kurtosis values were measured. The wood phantom was imaged, and its durability was confirmed. The phantoms were imaged in varying orientations within the magnetic field. The wood was observed using an optical microscope.

Results

Ten kinds of wood and the fiber had a diffusion metrics. The wood diffusion metrics suggested low variation over a period of 9 months. Changing the orientation of the phantoms within the magnetic field resulted in changes in diffusion metrics. Observation of wood vessels and fibers was conducted.

Discussion

Wood and fibers have anisotropy and are promising as phantom materials. The development of anisotropic phantoms that anyone can use is useful for diffusion magnetic resonance imaging research and clinical applications.
Literature
1.
Goryawala MZ, Heros DO, Komotar RJ, Sheriff S, Saraf-Lavi E, Maudsley AA (2018) Value of diffusion kurtosis imaging in assessing low-grade gliomas. J Magn Reson Imaging 48(6):1551–1558CrossRef
2.
Stejskal EO, Tanner JE (1965) Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. J Chem Phys 42(1):288–292CrossRef
3.
Lutsep HL, Albers GW, DeCrespigny A, Kamat GN, Marks MP, Moseley ME (1997) Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke. Ann Neurol 41(5):574–580CrossRef
4.
Warach S, Chien D, Li W, Ronthal M, Edelman RR (1992) Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 42(9):1717–1723CrossRef
5.
Basser PJ, Pierpaoli C (1996) Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B 111(3):209–219CrossRef
6.
Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53(6):1432–1440CrossRef
7.
Das SK, Wang JL, Bing L, Bhetuwal A, Yang HF (2017) Regional values of diffusional kurtosis estimates in the healthy brain during normal aging. Clin Neuroradiol 27(3):283–298CrossRef
8.
McGraw P, Liang L, Provenzale JM (2002) Evaluation of normal age-related changes in anisotropy during infancy and childhood as shown by diffusion tensor imaging. AJR Am J Roentgenol 179(6):1515–1522CrossRef
9.
Hubbard PL, Zhou FL, Eichhorn SJ, Parker GJ (2015) Biomimetic phantom for the validation of diffusion magnetic resonance imaging. Magn Reson Med 73(1):299–305CrossRef
10.
Oida T, Nagahara S, Kobayashi T (2011) Acquisition parameters for diffusion tensor imaging to emphasize fractional anisotropy: phantom study. Magn Reson Med Sci 10(2):121–128CrossRef
11.
Krzyzak A, Klodowski K, Raszewski Z (2015) Anisotropic phantoms in magnetic resonance imaging. Conf Proc IEEE Eng Med Biol Soc 2015:414–417PubMed
12.
Krzyzak AT, Klodowski K (2015) The b matrix calculation using the anisotropic phantoms for DWI and DTI experiments. Conf Proc IEEE Eng Med Biol Soc 2015:418–421PubMed
13.
Klodowski K, Krzyzak AT (2016) Innovative anisotropic phantoms for calibration of diffusion tensor imaging sequences. Magn Reson Imaging 34(4):404–409CrossRef
14.
Tachibana A, Tachibana Y, Kershaw J, Sano H, Fukushi M, Obata T (2018) Comparison of glass capillary plates and polyethylene fiber bundles as phantoms to assess the quality of diffusion tensor imaging. Magn Reson Med Sci 17(3):251–258CrossRef
15.
Kim SJ, Choi CG, Kim JK, Yun SC, Jahng GH, Jeong HK, Kim EJ (2015) Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom. Korean J Radiol 16(2):297–303CrossRef
16.
Fieremans E, De Deene Y, Delputte S, Ozdemir MS, D’Asseler Y, Vlassenbroeck J, Deblaere K, Achten E, Lemahieu I (2008) Simulation and experimental verification of the diffusion in an anisotropic fiber phantom. J Magn Reson 190(2):189–199CrossRef
17.
Fieremans E, De Deene Y, Delputte S, Ozdemir MS, Achten E, Lemahieu I (2008) The design of anisotropic diffusion phantoms for the validation of diffusion weighted magnetic resonance imaging. Phys Med Biol 53(19):5405–5419CrossRef
18.
Tabesh A, Jensen JH, Ardekani BA, Helpern JA (2011) Estimation of tensors and tensor-derived measures in diffusional kurtosis imaging. Magn Reson Med 65(3):823–836CrossRef
19.
Cohen Y, Assaf Y (2002) High b-value q-space analyzed diffusion-weighted MRS and MRI in neuronal tissues—a technical review. NMR Biomed 15(7–8):516–542CrossRef
20.
Neeman M, Freyer JP, Sillerud LO (1991) A simple method for obtaining cross-term-free images for diffusion anisotropy studies in NMR microimaging. Magn Reson Med 21(1):138–143CrossRef
21.
Jezzard P, Barnett AS, Pierpaoli C (1998) Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med 39(5):801–812CrossRef
22.
Latt J, Nilsson M, Wirestam R, Stahlberg F, Karlsson N, Johansson M, Sundgren PC, van Westen D (2013) Regional values of diffusional kurtosis estimates in the healthy brain. J Magn Reson Imaging 37(3):610–618CrossRef
23.
Vellmer S, Edelhoff D, Suter D, Maximov II (2017) Anisotropic diffusion phantoms based on microcapillaries. J Magn Reson 279:1–10CrossRef
24.
Poupon C, Rieul B, Kezele I, Perrin M, Poupon F, Mangin JF (2008) New diffusion phantoms dedicated to the study and validation of high-angular-resolution diffusion imaging (HARDI) models. Magn Reson Med 60(6):1276–1283CrossRef
25.
Berberat J, Eberle B, Rogers S, Boxheimer L, Lutters G, Merlo A, Bodis S, Remonda L (2013) Anisotropic phantom measurements for quality assured use of diffusion tensor imaging in clinical practice. Acta Radiol 54(5):576–580CrossRef
26.
Farrher E, Kaffanke J, Celik AA, Stocker T, Grinberg F, Shah NJ (2012) Novel multisection design of anisotropic diffusion phantoms. Magn Reson Imaging 30(4):518–526CrossRef
27.
Lorenz R, Bellemann ME, Hennig J, Il’yasov KA (2008) Anisotropic phantoms for quantitative diffusion tensor imaging and fiber-tracking validation. Appl Magn Reson 33(4):419–429CrossRef
Metadata
Title
Development of anisotropic phantoms using wood and fiber materials for diffusion tensor imaging and diffusion kurtosis imaging
Authors
Masashi Suzuki
Susumu Moriya
Junichi Hata
Atsushi Tachibana
Atsushi Senoo
Mamoru Niitsu
Publication date
01-10-2019
Publisher
Springer International Publishing
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 5/2019
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-019-00761-3

Other articles of this Issue 5/2019

Magnetic Resonance Materials in Physics, Biology and Medicine 5/2019 Go to the issue

Research Article

1H-MRS of femoral red and yellow bone marrow fat composition and water content in healthy young men and women at 3 T

Research Article

Studying the cardiovascular system of a marine crustacean with magnetic resonance imaging at 9.4 T

Research Article

Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation

Research Article

In-bore biopsies of the prostate assisted by a remote-controlled manipulator at 1.5 T

Research Article

Evaluation of variable flip angle, MOLLI, SASHA, and IR-SNAPSHOT pulse sequences for T1 relaxometry and extracellular volume imaging of the pancreas and liver

Research Article

Assessment of MR imaging during one-lung flooding in a large animal model