Imaging of Short and UltrashortT2andT2* Components of Tissues, Fluids, and Materials in the Body Using Clinical Magnetic Resonance Systems

Bydder, Graeme M.

doi:10.1002/9780470034590.emrstm1277

Cited by 1 publication

(1 citation statement)

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“…Tissues having short mean T 2 values (such as cortical bone, tendons, teeth, ligaments, and menisci) or tissues exposed to large susceptibility gradients (such as lung parenchyma and tissue located adjacent to a metallic implant) appear hypointense or as voids in images acquired with GRE and SE sequences. To be used clinically for diagnosis and therapy monitoring, the tissues of interest must be visible by MRI, before there can be any chance of assessing spin density or relaxation parameters that can change in disease states [3]. During the last decade, this need has created an interest in MRI methods that increase the range of detectable T 2 values [4].…”

Section: Introductionmentioning

confidence: 99%

Multi-Band-SWIFT

Idiyatullin

Corum

2015

Journal of Magnetic Resonance

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A useful extension to SWIFT (SWeep Imaging with Fourier Transformation) utilizing sidebands of the excitation pulse is introduced. This MRI method, called Multi-Band-SWIFT, achieves much higher bandwidth than standard SWIFT by using multiple segmented excitations (bands) of the field of view. A description of the general idea and variants of the pulse sequence are presented. From simulations and semi-phenomenological theory, estimations of power deposition and signal-to-noise ratio are made. MB-SWIFT and ZTE (zero-TE) sequences are compared based on images of a phantom and human mandible. Multi-Band-SWIFT provides a bridge between SWIFT and ZTE sequences and allows greatly increased excitation and acquisition bandwidths relative to standard SWIFT for the same hardware switching parameters and requires less peak amplitude of the radiofrequency field (or greater flip angle at same peak amplitude) as compared to ZTE. Multi-Band-SWIFT appears to be an attractive extension of SWIFT for certain musculoskeletal and other medical imaging applications, as well as for imaging materials.

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Section: Introductionmentioning

confidence: 99%