Phantoms for diffusion-weighted imaging and diffusion tensor imaging quality control: a review and new perspectives

Bammer R, 2003, Basic principles of diffusion-weighted imaging, European Journal of Radiology, 45, 169, 10.1016/S0720-048X(02)00303-0

Basser P, 1997, New histological and physiological stains derived from diffusion-tensor MR images, Annals of the New York Academy of Sciences, 820, 123, 10.1111/j.1749-6632.1997.tb46192.x

Bell JA, 2012, A deflectable guiding catheter for real-time MRI-guided interventions, Journal of Magnetic Resonance Imaging, 35, 908, 10.1002/jmri.23520

Boursianis T, 2014, MRI Diffusion measurements on phantoms: comparison between EPI and HASTE sequences utilizing two fitting methods in Apparent Diffusion Coefficient (ADC) measurements, Physica Medica, 30, e50, 10.1016/j.ejmp.2014.07.152

Budzik J-F, 2014, Diffusion tensor imaging in musculoskeletal disorders, Radiographics, 34, E56, 10.1148/rg.343125062

Chen H, 2014, Construct and assess multimodal mouse brain connectomes via joint modeling of multi-scale DTI and neuron tracer data, Med Image Comput Comput Assist Interv., 17, 273

Ebrahimi B, 2010, A microfabricated phantom for quantitative MR perfusion measurements: validation of singular value decomposition deconvolution method, IEEE Transactions on Biomedical Engineering, 57, 2730, 10.1109/TBME.2010.2055866

Fieremans E, 2008, Simulation and experimental verification of the diffusion in an anisotropic fiber phantom, Journal of Magnetic Resonance, 190, 189, 10.1016/j.jmr.2007.10.014

Gatidis S, 2014, Development of an MRI phantom for diffusion-weighted imaging with independent adjustment of apparent diffusion coefficient values and T2 relaxation times, Magnetic Resonance in Medicine, 72, 459, 10.1002/mrm.24944

Hellerbach A, 2013, MRI phantoms: are there alternatives to agar?, PLoS One, 8, e70343, 10.1371/journal.pone.0070343

Hubbard PL, 2015, Biomimetic phantom for the validation of diffusion magnetic resonance imaging, Magnetic Resonance in Medicine, 73, 299, 10.1002/mrm.25107

Kato H, 2005, Composition of MRI phantom equivalent to human tissues, Medical Physics, 32, 3199, 10.1118/1.2047807

Kim SJ, 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 Journal of Radiology, 16, 297, 10.3348/kjr.2015.16.2.297

Komlosh ME, 2008, Observation of microscopic diffusion anisotropy in the spinal cord using double-pulsed gradient spin echo MRI, Magnetic Resonance in Medicine, 59, 803, 10.1002/mrm.21528

Komlosh ME, 2011, Pore diameter mapping using double pulsed-field gradient MRI and its validation using a novel glass capillary array phantom, Journal of Magnetic Resonance, 208, 128, 10.1016/j.jmr.2010.10.014

Latt J, 2007, Effects of restricted diffusion in a biological phantom: A q-space diffusion MRI study of asparagus stems at a 3T clinical scanner, Magma, 20, 213, 10.1007/s10334-007-0085-z

Laubach HJ, 1998, A phantom for diffusion-weighted imaging of acute stroke, Journal of Magnetic Resonance Imaging, 8, 1349, 10.1002/jmri.1880080627

Lavdas I, 2013, A phantom for diffusion-weighted MRI (DW-MRI), Journal of Magnetic Resonance Imaging, 38, 173, 10.1002/jmri.23950

Lavdas I, 2014, Comparison between diffusion-weighted MRI (DW-MRI) at 1.5 and 3 tesla: a phantom study, Journal of Magnetic Resonance Imaging, 40, 682, 10.1002/jmri.24397

Le Bihan D, 2006, Artifacts and pitfalls in diffusion MRI, Journal of Magnetic Resonance Imaging, 24, 478, 10.1002/jmri.20683

Leemans A, 2005, Mathematical framework for simulating diffusion tensor MR neural fiber bundles, Magnetic Resonance in Medicine, 53, 944, 10.1002/mrm.20418

Lorenz R, 2008, Anisotropic phantoms for quantitative diffusion tensor imaging and fiber tracking validation, Applied Magnetic Resonance, 33, 419, 10.1007/s00723-008-0087-7

Lorenz R, 2006, 2738

Madsen EL, 1982, Prospective tissue-mimicking materials for use in NMR imaging phantoms, Magnetic Resonance Imaging, 1, 135, 10.1016/0730-725X(82)90204-1

Mori S, 1999, Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Annals of Neurology, 45, 265, 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3

Moseley ME, 1990, Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy, Magnetic Resonance in Medicine, 14, 330, 10.1002/mrm.1910140218

Pierpaoli C, 2009, 1414

Poveda F, 2013, Helical structure of the cardiac ventricular anatomy assessed by diffusion tensor magnetic resonance imaging with multiresolution tractography, Revista Espanola de Cardiologia, 66, 782

Stejskal EO, 1965, Spin diffusion measurements: spin echoes in the presence of a time‐dependent field gradient, The Journal of Chemical Physics, 42, 288, 10.1063/1.1695690

Teh I, 2016, Biomimetic PHANTOM FOR CARDIAC DIFFUSION MRI, Journal of Magnetic Resonance Imaging, 43, 594, 10.1002/jmri.25014

Tofts PS, 2000, Test liquids for quantitative MRI measurements of self-diffusion coefficient in vivo, Magnetic Resonance in Medicine, 43, 368, 10.1002/(SICI)1522-2594(200003)43:3<368::AID-MRM8>3.0.CO;2-B

Van Gemert J, 2017, An efficient methodology for the analysis of dielectric shimming materials in magnetic resonance imaging, IEEE Transactions on Medical Imaging, 36, 666, 10.1109/TMI.2016.2624507

Wang ZJ, 2011, A quality assurance protocol for diffusion tensor imaging using the head phantom from American College of Radiology, Medical Physics, 38, 4415, 10.1118/1.3595111