Ultrasound-driven cardiac MRI.


Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 14 10 2019
revised: 21 12 2019
accepted: 09 01 2020
pubmed: 8 2 2020
medline: 18 12 2020
entrez: 8 2 2020
Statut: ppublish

Résumé

One of the challenges of cardiac MR imaging is the compensation of respiratory motion, which causes the heart and the surrounding tissues to move. Commonly-used methods to overcome this effect, breath-holding and MR navigation, present shortcomings in terms of available acquisition time or need to periodically interrupt the acquisition, respectively. In this work, an implementation of respiratory motion compensation that obtains information from abdominal ultrasound and continuously adapts the imaged slice position in real time is presented. A custom workflow was developed, comprising an MR-compatible ultrasound acquisition system, a feature-motion-tracking system with polynomial predictive capability, and a custom MR sequence that continuously adapts the position of the acquired slice according to the tracked position. The system was evaluated on a moving phantom by comparing sharpness and image blurring between static and moving conditions, and in vivo by tracking the motion of the blood vessels of the liver to estimate the cardiac motion. Cine images of the heart were acquired during free breathing. In vitro, the predictive motion correction yielded significantly better results than non-predictive or non-corrected acquisitions (p ≪ 0.01). In vivo, the predictive correction resulted in an image quality very similar to the breath-hold acquisition, whereas the uncorrected images show noticeable blurring artifacts. In this work, the possibility of using ultrasound navigation with tracking for the real-time adaptation of MR imaging slices was demonstrated. The implemented technique enabled efficient imaging of the heart with resolutions that would not be feasible in a single breath-hold.

Identifiants

pubmed: 32032800
pii: S1120-1797(20)30010-7
doi: 10.1016/j.ejmp.2020.01.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

161-168

Informations de copyright

Copyright © 2020 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Auteurs

Francesco Santini (F)

Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland. Electronic address: francesco.santini@unibas.ch.

Laura Gui (L)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Orane Lorton (O)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Pauline C Guillemin (PC)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Gibran Manasseh (G)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Radiology Department, Vaudois University Hospital, Lausanne, Switzerland.

Myriam Roth (M)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Oliver Bieri (O)

Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland.

Jean-Paul Vallée (JP)

Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.

Rares Salomir (R)

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.

Lindsey A Crowe (LA)

Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.

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Classifications MeSH