Acceleration of Double Inversion Recovery Sequences in Multiple Sclerosis With Compressed Sensing.


Journal

Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377

Informations de publication

Date de publication:
06 2019
Historique:
pubmed: 6 2 2019
medline: 7 1 2020
entrez: 6 2 2019
Statut: ppublish

Résumé

The aim of this study was to assess the performance of double inversion recovery (DIR) sequences accelerated by compressed sensing (CS) in a clinical setting. We included 106 patients with MS (62 female [58%]; mean age, 44.9 ± 11.0 years) in this prospective study. In addition to a full magnetic resonance imaging protocol including a conventional SENSE accelerated DIR, we acquired a CS DIR (time reduction, 51%). We generated subtraction maps between the two DIR sequences to visualize focal intensity differences. Two neuroradiologists independently assessed these maps for intensity differences, which were categorized into definite MS lesions, possible lesions, or definite artifacts. Counts of focal intensity differences were compared using a Wilcoxon rank sum test. Moreover, conventional lesion counts were acquired for both sequences in independent readouts, and agreement between the DIR variants was assessed with intraclass correlation coefficients. No hyperintensity that was rated as definite lesion was missed in the CS DIR. Two possible lesions were only detected in the conventional DIR, one only in the CS DIR (no significant difference, P = 0.57). The conventional DIR showed significantly more definite artifacts within the white matter (P = 0.024) and highly significantly more at the cortical-sulcal interface (P < 0.001). For both readers, intraclass correlation coefficient between the lesion counts in the two DIR variants was near perfect (0.985 for reader 1 and 0.981 for reader 2). Compressed sensing can be used to substantially reduce scan time of DIR sequences without compromising diagnostic quality. Moreover, the CS accelerated DIR proved to be significantly less prone to imaging artifacts.

Identifiants

pubmed: 30720557
doi: 10.1097/RLI.0000000000000550
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

319-324

Auteurs

Andreas Hock (A)

Philips GmbH Market DACH, Hamburg.

Mark Mühlau (M)

Department of Neurology, and.
TUM-NIC, NeuroImaging Center, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany.

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Classifications MeSH