Metal artifact reduction around cervical spine implant using diffusion tensor imaging at 3T: A phantom study.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 23 08 2023
accepted: 04 11 2023
medline: 11 12 2023
pubmed: 9 11 2023
entrez: 8 11 2023
Statut: ppublish

Résumé

Diffusion MRI continues to play a key role in non-invasively assessing spinal cord integrity and pre-operative injury evaluation. However, post-operative Diffusion Tensor Imaging (DTI) acquisition of patients with metal implants results in severe geometric distortion. We propose and demonstrate a method to alleviate the technical challenges facing the acquisition of DTI on post-operative cases and longitudinal evaluation of therapeutics. The described technique is based on the combination of the reduced Field-Of-View (rFOV) strategy and the phase segmented EPI, termed rFOV-PS-EPI. A custom-built phantom based on a cervical spine model with metal implants was used to collect DTI data at 3 Tesla scanner using: rFOV-PS-EPI, reduced Field-Of-View single-shot EPI (rFOV-SS-EPI), and conventional full FOV techniques including SS-EPI, PS-EPI, and readout-segmented EPI (RS-EPI). Geometric distortion, SNR, and signal void were assessed to evaluate images and compare the sequences. A two-sample t-test was performed with p-value of 0.05 or less to indicate statistical significance. The reduced FOV techniques showed better capability to reduce distortions compared to the Full FOV techniques. The rFOV-PS-EPI method provided DTI images of the phantom at the level of the hardware whereas the conventional rFOV-SS-EPI is useful only when the metal is approximately 20 mm away. In addition, compared to the rFOV-SS-EPI technique, the suggested approach produced smaller signal voids area as well as significantly reduced geometric distortion in Circularity (p < 0.005) and Eccentricity (p < 0.005) measurements. No statistically significant differences were found for these geometric distortion measurements between the rFOV-PS-EPI DTI sequence and conventional structural T2 images (p > 0.05). The combination of rFOV and a phase-segmented acquisition approach is effective for reducing metal-induced distortions in DTI scan on spinal cord with metal hardware at 3 T.

Identifiants

pubmed: 37939969
pii: S0730-725X(23)00194-7
doi: 10.1016/j.mri.2023.11.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-66

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest We have no conflict of interests to declare.

Auteurs

Slimane Tounekti (S)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA. Electronic address: Slimane.tounekti@jefferson.edu.

Mahdi Alizadeh (M)

Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA.

Devon Middleton (D)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.

James S Harrop (JS)

Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA.

Bassem Hiba (B)

Institut des Sciences Cognitives, CNRS UMR 5229, Université Lyon 1, Lyon, France.

Laura Krisa (L)

Department of Physical Therapy, Thomas Jefferson University, Philadelphia, PA, USA.

Choukri Mekkaoui (C)

Harvard Medical School, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.

Feroze B Mohamed (FB)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.

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Classifications MeSH