Simultaneous multi-slice spin- and gradient-echo dynamic susceptibility-contrast perfusion-weighted MRI of gliomas.
Misung HanBaolian YangBrice FernandezMarisa LafontainePaula Alcaide-LeonAngela JakaryBrian L BurnsMelanie A MorrisonJavier E Villanueva-MeyerSusan M ChangSuchandrima BanerjeeJanine M LupoPublished in: NMR in biomedicine (2020)
Although combined spin- and gradient-echo (SAGE) dynamic susceptibility-contrast (DSC) MRI can provide perfusion quantification that is sensitive to both macrovessels and microvessels while correcting for T1 -shortening effects, spatial coverage is often limited in order to maintain a high temporal resolution for DSC quantification. In this work, we combined a SAGE echo-planar imaging (EPI) sequence with simultaneous multi-slice (SMS) excitation and blipped controlled aliasing in parallel imaging (blipped CAIPI) at 3 T to achieve both high temporal resolution and whole brain coverage. Two protocols using this sequence with multi-band (MB) acceleration factors of 2 and 3 were evaluated in 20 patients with treated gliomas to determine the optimal scan parameters for clinical use. ΔR2 *(t) and ΔR2 (t) curves were derived to calculate dynamic signal-to-noise ratio (dSNR), ΔR2 *- and ΔR2 -based relative cerebral blood volume (rCBV), and mean vessel diameter (mVD) for each voxel. The resulting SAGE DSC images acquired using MB acceleration of 3 versus 2 appeared visually similar in terms of image distortion and contrast. The difference in the mean dSNR from normal-appearing white matter (NAWM) and that in the mean dSNR between NAWM and normal-appearing gray matter were not statistically significant between the two protocols. ΔR2 *- and ΔR2 -rCBV maps and mVD maps provided unique contrast and spatial heterogeneity within tumors.
Keyphrases
- contrast enhanced
- diffusion weighted
- magnetic resonance
- magnetic resonance imaging
- computed tomography
- diffusion weighted imaging
- white matter
- single molecule
- high resolution
- high grade
- deep learning
- dual energy
- room temperature
- subarachnoid hemorrhage
- density functional theory
- multiple sclerosis
- healthcare
- air pollution
- image quality
- machine learning
- optic nerve
- convolutional neural network
- blood brain barrier
- fluorescence imaging
- mass spectrometry
- amino acid