review · Topics in Magnetic Resonance Imaging · 2010
Fetal Diffusion Imaging
Gregor Kasprian, M. del Río, Daniela Prayer
Cited by 36Abstract and details only
Abstract
Recently, diffusion-weighted (DWI) magnetic resonance imaging of the fetus has evolved from a basic research application to an important diagnostic imaging tool in fetal magnetic resonance imaging. Although technically challenging and still plagued with several sources of artifacts, DWI can add clinically important information, which cannot be provided by any other prenatal imaging modality. Its potential to noninvasively probe tissue structures on the basis of Brownian molecular motion enables the detection of early changes associated with acute fetal diseases, as well as structural alterations of functionally diverse compartments of different fetal organs. In this article, the current clinical applications of fetal brain and body DWI are outlined, as well as its current limitations.
Cite this paper
Kasprian, G., del Río, M., & Prayer, D. (2010). Fetal Diffusion Imaging. Topics in Magnetic Resonance Imaging, 21(6), 387–394. https://doi.org/10.1097/rmr.0b013e31823e6f80
Kasprian, Gregor, et al. “Fetal Diffusion Imaging.” Topics in Magnetic Resonance Imaging, vol. 21, no. 6, 2010, pp. 387–94, https://doi.org/10.1097/rmr.0b013e31823e6f80.
Kasprian, Gregor, M. del Río, and Daniela Prayer. 2010. “Fetal Diffusion Imaging.” Topics in Magnetic Resonance Imaging 21 (6): 387–94. https://doi.org/10.1097/rmr.0b013e31823e6f80.
Kasprian, G., del Río, M. and Prayer, D. (2010) ‘Fetal Diffusion Imaging’, Topics in Magnetic Resonance Imaging, 21(6), pp. 387–394. Available at: https://doi.org/10.1097/rmr.0b013e31823e6f80.
@article{kasprian2010fetal,
title = {{Fetal Diffusion Imaging}},
author = {Kasprian, Gregor and del Río, M. and Prayer, Daniela},
journal = {Topics in Magnetic Resonance Imaging},
volume = {21},
number = {6},
pages = {387--394},
year = {2010},
doi = {10.1097/rmr.0b013e31823e6f80}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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