Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations.

TitleRobust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations.
Publication TypeJournal Article
Year of Publication2017
AuthorsSolomon E, Liberman G, Nissan N, Frydman L
JournalMagn Reson Med
Volume77
Issue3
Pagination1124-1133
Date Published2017 03
ISSN1522-2594
KeywordsAlgorithms, Animals, Brain, Breast, Diffusion Tensor Imaging, Female, Image Enhancement, Image Interpretation, Computer-Assisted, Mice, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted
Abstract

PURPOSE: Evaluate the usefulness of single-shot and of interleaved spatiotemporally encoded (SPEN) methods to perform diffusion tensor imaging (DTI) under various preclinical and clinical settings.

METHODS: A formalism for analyzing SPEN DTI data is presented, tailored to account for the spatially dependent b-matrix weightings introduced by the sequence's use of swept pulses acting while in the presence of field gradients. Using these b-matrix calculations, SPEN's ability to deliver DTI measurements was tested on phantoms as well as ex vivo and in vivo. In the latter case, DTI involved scans on mice brains and on human lactating breasts.

RESULTS: For both ex vivo and in vivo investigations, SPEN data proved less sensitive to distortions arising from B field inhomogeneities and from eddy currents, than conventional single-shot alternatives. Further resolution enhancement could be achieved using referenceless methods for interleaved SPEN data acquisitions.

CONCLUSION: The robustness of SPEN-based sequences vis-à-vis field instabilities and heterogeneities, enables the implementation of DTI experiments with good sensitivity and resolution even in challenging environments in both preclinical and clinical settings. Magn Reson Med 77:1124-1133, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

DOI10.1002/mrm.26197
Alternate JournalMagn Reson Med
PubMed ID26968710
PubMed Central IDPMC5270884
Grant List633888 / ERC_ / European Research Council / International
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065