Mitigating slice cross‐talk in multi‐slice multi‐echo spin echo T2 mapping

Author:

Brui Ekaterina A.1ORCID,Badrieva Zilya1,de Mayenne Charles‐Alexis2,Rapacchi Stanislas3ORCID,Troalen Thomas4ORCID,Bendahan David3

Affiliation:

1. School of Physics and Engineering ITMO University Saint‐Petersburg Russia

2. Paris Science et Lettres E'cole Supe'rieure de Physique et de Chimie Industrielle de la ville de Paris Paris France

3. Centre de Résonance Magnétique Biologique et Médicale Aix‐Marseille Universite, CNRS Marseille France

4. Siemens Healthcare SAS Courbevoie France

Abstract

AbstractPurposeTo investigate whether a T2 inter‐slice variation could occur when a multi‐slice multi‐echo spin echo (MESE) sequence is used for image acquisition and to propose an enhanced method for reconstructing T2 maps that can effectively address and correct these variations.MethodsBloch simulations were performed accounting for the direct saturation effect to evaluate magnetization changes in multi‐slice 2D MESE sequence. Experimental phantom scans were performed to validate these simulations. An improved version of the dictionary‐based reconstruction approach was proposed, enabling the creation of a multi‐slice dictionary of echo modulation curves (EMC). The corresponding method has been assayed considering inter‐slice T2 variation with phantoms and in lower leg.ResultsExperimental and numerical study illustrate that direct saturation leads to a bias of EMCs. This bias during the T2 maps reconstructions using original single‐slice EMC‐dictionary method led to inter‐slice T2 variation of 2.03% in average coefficient of variation (CV) in agarose phantoms, and up to 2.8% in vivo (for TR = 2 s, slice gap = 0%). A reduction of CV was observed when increasing the gap up to 100% (0.36% in phantoms, and up to 1.5% in vivo) or increasing TR up to 4 s (0.76% in phantoms, and up to 1.9% in vivo). Matching the multi‐slice experimental data with multi‐slice dictionaries provided a reduced CV of 0.54% in phantoms and up to 2.3% in vivo.ConclusionT2 values quantified from multi‐slice MESE images using single‐slice dictionaries are biased. A dedicated multi‐slice EMC method providing the appropriate dictionaries can reduce the inter‐slice T2 variation.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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