Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach

The image quality of synthetized FLAIR (fluid attenuated inversion recovery) images is generally inferior to its conventional counterpart, especially regarding the lesion contrast mismatch. This work aimed to improve the lesion appearance through a hybrid methodology.OBJECTIVEThe image quality of sy...

Full description

Saved in:
Bibliographic Details
Published in:Magma (New York, N.Y.) N.Y.), 2024-08
Main Authors: Xu, Fei, Mandija, Stefano, Kleinloog, Jordi P D, Liu, Hongyan, van der Heide, Oscar, van der Kolk, Anja G, Dankbaar, Jan Willem, van den Berg, Cornelis A T, Sbrizzi, Alessandro
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The image quality of synthetized FLAIR (fluid attenuated inversion recovery) images is generally inferior to its conventional counterpart, especially regarding the lesion contrast mismatch. This work aimed to improve the lesion appearance through a hybrid methodology.OBJECTIVEThe image quality of synthetized FLAIR (fluid attenuated inversion recovery) images is generally inferior to its conventional counterpart, especially regarding the lesion contrast mismatch. This work aimed to improve the lesion appearance through a hybrid methodology.We combined a full brain 5-min MR-STAT acquisition followed by FLAIR synthetization step with an ultra-under sampled conventional FLAIR sequence and performed the retrospective and prospective analysis of the proposed method on the patient datasets and a healthy volunteer.MATERIALS AND METHODSWe combined a full brain 5-min MR-STAT acquisition followed by FLAIR synthetization step with an ultra-under sampled conventional FLAIR sequence and performed the retrospective and prospective analysis of the proposed method on the patient datasets and a healthy volunteer.All performance metrics of the proposed hybrid FLAIR images on patient datasets were significantly higher than those of the physics-based FLAIR images (p 
ISSN:1352-8661
1352-8661
DOI:10.1007/s10334-024-01198-z