2015
DOI: 10.1002/jmri.25014
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Biomimetic phantom for cardiac diffusion MRI

Abstract: PurposeDiffusion magnetic resonance imaging (MRI) is increasingly used to characterize cardiac tissue microstructure, necessitating the use of physiologically relevant phantoms for methods development. Existing phantoms are generally simplistic and mostly simulate diffusion in the brain. Thus, there is a need for phantoms mimicking diffusion in cardiac tissue.Materials and MethodsA biomimetic phantom composed of hollow microfibers generated using co-electrospinning was developed to mimic myocardial diffusion p… Show more

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Cited by 25 publications
(34 citation statements)
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“…Moreover, smaller air bubbles may not be detected and their removal is not easy. In addition, MD and FA values of these phantoms differ significantly from those obtained from biological tissues in most cases, because when phantom structures have dimensions lower than the scanner spatial resolution, bias in MD and FA values may occur (Teh et al, 2016). It is also worth mentioning that the pattern of magnetic field distortion due to the patient's head and to the phantom in the scanner is different from that seen in images of one or the other independently (Kim et al, 2015).…”
Section: Discussionmentioning
confidence: 97%
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“…Moreover, smaller air bubbles may not be detected and their removal is not easy. In addition, MD and FA values of these phantoms differ significantly from those obtained from biological tissues in most cases, because when phantom structures have dimensions lower than the scanner spatial resolution, bias in MD and FA values may occur (Teh et al, 2016). It is also worth mentioning that the pattern of magnetic field distortion due to the patient's head and to the phantom in the scanner is different from that seen in images of one or the other independently (Kim et al, 2015).…”
Section: Discussionmentioning
confidence: 97%
“…In the reviewed studies, the range of B 0 goes from 0.5T to 9.4T. Most studies apply SE-EPI sequences or their clinical/research routines (Lorenz et al, 2006;Teh et al, 2016). New sequences, such as d-PSGE, are being proposed and tested (Komlosh et al, 2008;Lorenz et al, 2008).…”
Section: Discussionmentioning
confidence: 99%
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