Novel multisection design of anisotropic diffusion phantoms

被引:31
作者
Farrher, Ezequiel [1 ]
Kaffanke, Joachim [1 ]
Celik, A. Avdo [1 ]
Stoecker, Tony [1 ]
Grinberg, Farida [1 ]
Shah, N. Jon [1 ,2 ]
机构
[1] Forschungszentrum Julich, Inst Neurosci & Med 4, D-52425 Julich, Germany
[2] Rhein Westfal TH Aachen, JARA, Fac Med, Dept Neurol, D-52074 Aachen, Germany
关键词
Diffusion tensor imaging; Diffusion kurtosis imaging; Fiber phantom; Stimulated echo; Q-ball imaging; Spherical harmonic deconvolution; High angular resolution diffusion imaging; WATER DIFFUSION; IN-VIVO; TENSOR; VALIDATION; CONSTRUCTION; ECHO;
D O I
10.1016/j.mri.2011.12.012
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
Diffusion-weighted magnetic resonance imaging provides access to fiber pathways and structural integrity in fibrous tissues such as white matter in the brain. In order to enable better access to the sensitivity of the diffusion indices to the underlying microstructure, it is important to develop artificial model systems that exhibit a well-known structure, on the one hand, but benefit from a reduced complexity on the other hand. In this work, we developed a novel multisection diffusion phantom made of polyethylene fibers tightly wound on an acrylic support. The phantom exhibits three regions with different geometrical configuration of fibers: a region with fibers crossing at right angles, a region with parallel fibers and homogeneous density, and, finally, a region with parallel fibers but with a gradient of fiber density along the axis of symmetry. This gives rise to a gradual change of the degree of anisotropy within the same phantom. In this way, the need to construct several phantoms with different fiber densities is avoided, and one can access different fractional anisotropies in the same experiment under the same physical conditions. The properties of the developed phantom are demonstrated by means of diffusion tensor imaging and diffusion kurtosis imaging. The measurements were performed using a diffusion-weighted spin-echo and a diffusion-weighted stimulated-echo pulse sequence programmed in-house. The influence of the fiber density packing on the diffusion parameters was analyzed. We also demonstrate how the novel phantom can be used for the validation of high angular resolution diffusion imaging data analysis. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:518 / 526
页数:9
相关论文
共 31 条
[1]
Measurement of fiber orientation distributions using high angular resolution diffusion imaging [J].
Anderson, AW .
MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (05) :1194-1206
[2]
Basser PJ, 1996, J MAGN RESON SER B, V111, P209, DOI [10.1006/jmrb.1996.0086, 10.1016/j.jmr.2011.09.022]
[3]
ESTIMATION OF THE EFFECTIVE SELF-DIFFUSION TENSOR FROM THE NMR SPIN-ECHO [J].
BASSER, PJ ;
MATTIELLO, J ;
LEBIHAN, D .
JOURNAL OF MAGNETIC RESONANCE SERIES B, 1994, 103 (03) :247-254
[5]
The design of anisotropic diffusion phantoms for the validation of diffusion weighted magnetic resonance imaging [J].
Fieremans, Els ;
De Deene, Yves ;
Delputte, Steven ;
Ozdemir, Mahir S. ;
Achten, Eric ;
Lemahieu, Ignace .
PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (19) :5405-5419
[6]
Simulation and experimental verification of the diffusion in an anisotropic fiber phantom [J].
Fieremans, Els ;
De Deene, Yves ;
Delputte, Steven ;
Ozdemir, Mahir S. ;
D'Asseler, Yves ;
Vlassenbroeck, Jelle ;
Deblaere, Karel ;
Achten, Eric ;
Lemahieu, Ignace .
JOURNAL OF MAGNETIC RESONANCE, 2008, 190 (02) :189-199
[7]
Grinberg F, 2011, AIP CONF PROC, V1330, P31, DOI [10.1063/1.3579171, 10.1063/1.3562226]
[8]
Diffusional kurtosis imaging: The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging [J].
Jensen, JH ;
Helpern, JA ;
Ramani, A ;
Lu, HZ ;
Kaczynski, K .
MAGNETIC RESONANCE IN MEDICINE, 2005, 53 (06) :1432-1440
[9]
Probabilistic Fiber Tracking Using the Residual Bootstrap with Constrained Spherical Deconvolution [J].
Jeurissen, Ben ;
Leemans, Alexander ;
Jones, Derek K. ;
Tournier, Jacques-Donald ;
Sijbers, Jan .
HUMAN BRAIN MAPPING, 2011, 32 (03) :461-479
[10]
Diffusion tensor imaging: Concepts and applications [J].
Le Bihan, D ;
Mangin, JF ;
Poupon, C ;
Clark, CA ;
Pappata, S ;
Molko, N ;
Chabriat, H .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2001, 13 (04) :534-546