AI Article Synopsis
- The hMRI toolbox is an open-source tool designed for creating quantitative MRI parameter maps from weighted imaging data and additional calibration data.
- It features a comprehensive multi-parameter mapping (MPM) protocol that corrects spatial variation in scanner fields, enhancing the accuracy of MRI scans.
- A dataset utilizing this complete MPM protocol is available for free, serving as a tutorial along with instructions on the hMRI wiki (http://hMRI.info) and accompanying theoretical explanations.
Article Abstract
The hMRI toolbox is an open-source toolbox for the calculation of quantitative MRI parameter maps from a series of weighted imaging data, and optionally additional calibration data. The multi-parameter mapping (MPM) protocol, incorporating calibration data to correct for spatial variation in the scanner's transmit and receive fields, is the most complete protocol that can be handled by the toolbox. Here we present a dataset acquired with such a full MPM protocol, which is made freely available to be used as a tutorial by following instructions provided on the associated toolbox wiki pages, which can be found at http://hMRI.info, and following the theory described in: hMRI - A toolbox for quantitative MRI in neuroscience and clinical research [1].
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598837 | PMC |
| http://dx.doi.org/10.1016/j.dib.2019.104132 | DOI Listing |
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