Quantitative MRI for Vein Segmentation and Oxygen Mapping

All data processing, except the QSM (which was obtained by the free tool described in [34 (link)]), was performed using an in-house developed library for Matlab (MATLAB^® Release 2012b, The MathWorks, Inc., Natick, MA, USA), partly described in previous works [16 (link), 35 –37 (link)], on a commercial workstation (Intel^® Core^™ i7-3820 CPU @ 3.6 GHz; RAM 16 GB) equipped with 2 GPU boards (NVIDIA GeForce^® GTX 690). The demonstrative application of qMRI for vein segmentation, and Oxygen Extraction Fraction (OEF) and MTVF mapping was respectively provided by the MAVEN algorithm [20 ] and the in-house implementations of the methods described in [27 (link), 38 (link)].

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Monti S., Borrelli P., Tedeschi E., Cocozza S, & Palma G. (2017). RESUME: Turning an SWI acquisition into a fast qMRI protocol. PLoS ONE, 12(12), e0189933.

Publication 2017

MATLAB® Release 2012b ™ i7-3820 ® GTX 690

Library Oxygen Vein

Corresponding Organization : National Research Council

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Variable analysis

independent variables

Image processing using an in-house developed library for Matlab
Use of a commercial workstation (Intel® Core™ i7-3820 CPU @ 3.6 GHz; RAM 16 GB) equipped with 2 GPU boards (NVIDIA GeForce® GTX 690)

dependent variables

Vein segmentation
Oxygen Extraction Fraction (OEF) mapping
MTVF mapping

control variables

QSM (Quantitative Susceptibility Mapping) obtained by the free tool described in [34]

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