Intra-bin correction and inter-bin compensation of respiratory motion in free-running 5D whole-heart MRI.

Free-breathing Free-running Motion Compensation Motion Correction Whole heart Magnetic Resonance Imaging

Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
16 Mar 2024
Historique:
received: 08 01 2024
revised: 09 03 2024
accepted: 11 03 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 18 3 2024
Statut: aheadofprint

Résumé

Free-running cardiac and respiratory motion-resolved whole-heart 5D MRI can reduce scan planning and provide a means of evaluating respiratory-driven changes in clinical parameters of interest. However, respiratory-resolved imaging can be limited by user-defined parameters which create trade-offs between residual artifact and motion blur. In this work, we develop and validate strategies for both correction of intra-bin and compensation of inter-bin respiratory motion to improve the quality of 5D MRI. Each component of the reconstruction framework was systematically validated and compared to the previously established 5D approach using simulated free-running data (N=50) and a cohort of 32 patients with congenital heart disease. The impact of intra-bin respiratory motion correction was evaluated in terms of image sharpness while inter-bin respiratory motion compensation was evaluated in terms of reconstruction error, compression of respiratory motion, and image sharpness. The full reconstruction framework (IIMC 5D) was evaluated in terms of image sharpness and scoring of image quality by expert reviewers. Intra-bin motion correction provides significantly (p < 10 The proposed IIMC reconstruction significantly improves the quality of 5D whole-heart MRI. This may be exploited for higher resolution or abbreviated scan. Further investigation of the diagnostic impact of this framework and comparison to gold-standards is needed to understand its full clinical utility including exploration of respiratory-driven changes in physiological measurements of interest.

Sections du résumé

BACKGROUND BACKGROUND
Free-running cardiac and respiratory motion-resolved whole-heart 5D MRI can reduce scan planning and provide a means of evaluating respiratory-driven changes in clinical parameters of interest. However, respiratory-resolved imaging can be limited by user-defined parameters which create trade-offs between residual artifact and motion blur. In this work, we develop and validate strategies for both correction of intra-bin and compensation of inter-bin respiratory motion to improve the quality of 5D MRI.
METHODS METHODS
Each component of the reconstruction framework was systematically validated and compared to the previously established 5D approach using simulated free-running data (N=50) and a cohort of 32 patients with congenital heart disease. The impact of intra-bin respiratory motion correction was evaluated in terms of image sharpness while inter-bin respiratory motion compensation was evaluated in terms of reconstruction error, compression of respiratory motion, and image sharpness. The full reconstruction framework (IIMC 5D) was evaluated in terms of image sharpness and scoring of image quality by expert reviewers.
RESULTS RESULTS
Intra-bin motion correction provides significantly (p < 10
CONCLUSION CONCLUSIONS
The proposed IIMC reconstruction significantly improves the quality of 5D whole-heart MRI. This may be exploited for higher resolution or abbreviated scan. Further investigation of the diagnostic impact of this framework and comparison to gold-standards is needed to understand its full clinical utility including exploration of respiratory-driven changes in physiological measurements of interest.

Identifiants

DOI: 10.1016/j.jocmr.2024.101037 PMID: 38499269
pubmed: 38499269
pii: S1097-6647(24)01064-0
doi: 10.1016/j.jocmr.2024.101037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101037

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Competing Interests Ludovica Romanin’s PhD studies are supported financially by Siemens Healthcare (Erlangen, Germany). Matthias Stuber receives non-monetary research support from Siemens Healthcare (Erlangen, Germany).

Auteurs

Christopher W Roy (CW)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. Electronic address: christopher.roy@chuv.ch.

Bastien Milani (B)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Jérôme Yerly (J)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.

Salim Si-Mohamed (S)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; University Lyon, INSA-Lyon, University Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, 7 Avenue Jean Capelle O, 69100 Villeurbanne, France; Department of Radiology, Louis Pradel Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France.

Ludovica Romanin (L)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.

Aurélien Bustin (A)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux - INSERM U1045, Avenue du Haut Lévêque, 33604, Pessac, France; Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France.

Estelle Tenisch (E)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Tobias Rutz (T)

Service of Cardiology, Heart and Vessel Department, Lausanne University Hospital and University of Lausanne.

Milan Prsa (M)

Division of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Matthias Stuber (M)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.

Classifications MeSH