Abstract

PurposeHigh resolution multi-gradient echo (MGE) scanning is typically used for detection of molecularly targeted iron oxide particles. The images of individual echoes are often combined to generate a composite image with improved SNR from the early echoes and boosted contrast from later echoes. In 3D implementations prolonged scanning at high gradient duty cycles induces a B0 shift that predominantly affects image alignment in the slow phase encoding dimension of 3D MGE images. The effect corrupts the composite echo image and limits the image resolution that is realised. A real-time adaptive B0 stabilisation during respiration gated 3D MGE scanning is shown to reduce image misalignment and improve detection of molecularly targeted iron oxide particles in composite images of the mouse brain. MethodsAn optional B0 measurement block consisting of a 16 μs hard pulse with FA 1°, an acquisition delay of 3.2 ms, followed by gradient spoiling in all three axes was added to a respiration gated 3D MGE scan. During the acquisition delay of each B0 measurement block the NMR signal was routed to a custom built B0 stabilisation unit which mixed the signal to an audio frequency nominally centred around 1000 Hz to enable an Arduino based single channel receiver to measure frequency shifts. The frequency shift was used to effect correction to the main magnetic field via the B0 coil. The efficacy of B0 stabilisation and respiration gating was validated in vivo and used to improve detection of molecularly targeted microparticles of iron oxide (MPIO) in a mouse model of acute neuroinflammation. ResultsWithout B0 stabilisation 3D MGE image data exhibit varying mixtures of translation, scaling and blurring, which compromise the fidelity of the composite image. The real-time adaptive B0 stabilisation minimises corruption of the composite image as the images from the different echoes are properly aligned. The improved detection of molecularly targeted MPIO easily compensates for the scan time penalty of 14% incurred by the B0 stabilisation method employed. Respiration gating of the B0 measurement and the MRI scan was required to preserve high resolution detail, especially towards the back of the brain. ConclusionsHigh resolution imaging for the detection of molecularly targeted iron oxide particles in the mouse brain requires good stabilisation of the main B0 field, and can benefit from a respiration gated image acquisition strategy.

Highlights

  • Molecular MRI is an evolving field of imaging with strong translational and research potential

  • Individual iron oxide particles have been observed to generate a field distortion over a region that is at least 50 times the size of the particle [10], which makes the close proximity of only a few Microparticles of iron oxide (MPIO) detectable by high resolution T2*-weighted MRI

  • High resolution multi-gradient echo (MGE) scanning is typically used for efficient MPIO detection, and the echoes are often combined to generate a composite image with improved signal-to-noise ratio (SNR) from the early echoes and boosted contrast from later echoes, as in the MEDIC/MERGE/M-FFE/ADAGE methods [11,12,13]

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Summary

Introduction

Molecular MRI is an evolving field of imaging with strong translational and research potential. Microparticles of iron oxide (MPIO) targeting adhesion molecules that are expressed on endothelial cells are the preferred contrast agents for imaging neuroinflammation in preclinical models [1,2,3]. Targeted molecular MRI combines the advantages of high spatial resolution and contrast without the need for ionising radiation making it an attractive imaging technique to study molecular processes. Individual iron oxide particles have been observed to generate a field distortion over a region that is at least 50 times the size of the particle [10], which makes the close proximity of only a few MPIO detectable by high resolution T2*-weighted MRI. High resolution multi-gradient echo (MGE) scanning is typically used for efficient MPIO detection, and the echoes are often combined to generate a composite image with improved signal-to-noise ratio (SNR) from the early echoes and boosted contrast from later echoes, as in the MEDIC/MERGE/M-FFE/ADAGE methods [11,12,13]

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