Real-time fetal brain tracking for functional fetal MRI.


Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
12 2023
Historique:
revised: 03 07 2023
received: 28 03 2023
accepted: 03 07 2023
medline: 2 10 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: ppublish

Résumé

To improve motion robustness of functional fetal MRI scans by developing an intrinsic real-time motion correction method. MRI provides an ideal tool to characterize fetal brain development and growth. It is, however, a relatively slow imaging technique and therefore extremely susceptible to subject motion, particularly in functional MRI experiments acquiring multiple Echo-Planar-Imaging-based repetitions, for example, diffusion MRI or blood-oxygen-level-dependency MRI. A 3D UNet was trained on 125 fetal datasets to track the fetal brain position in each repetition of the scan in real time. This tracking, inserted into a Gadgetron pipeline on a clinical scanner, allows updating the position of the field of view in a modified echo-planar imaging sequence. The method was evaluated in real-time in controlled-motion phantom experiments and ten fetal MR studies (17 + 4-34 + 3 gestational weeks) at 3T. The localization network was additionally tested retrospectively on 29 low-field (0.55T) datasets. Our method achieved real-time fetal head tracking and prospective correction of the acquisition geometry. Localization performance achieved Dice scores of 84.4% and 82.3%, respectively for both the unseen 1.5T/3T and 0.55T fetal data, with values higher for cephalic fetuses and increasing with gestational age. Our technique was able to follow the fetal brain even for fetuses under 18 weeks GA in real-time at 3T and was successfully applied "offline" to new cohorts on 0.55T. Next, it will be deployed to other modalities such as fetal diffusion MRI and to cohorts of pregnant participants diagnosed with pregnancy complications, for example, pre-eclampsia and congenital heart disease.

Identifiants

pubmed: 37465882
doi: 10.1002/mrm.29803
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2306-2320

Subventions

Organisme : Wellcome Trust
ID : WT201526/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT203148/Z/16/Z
Pays : United Kingdom
Organisme : Department of Health
ID : NIHR3016640
Pays : United Kingdom

Informations de copyright

© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Sara Neves Silva (S)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Jordina Aviles Verdera (J)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Raphael Tomi-Tricot (R)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK.

Radhouene Neji (R)

Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK.

Alena Uus (A)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Irina Grigorescu (I)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Thomas Wilkinson (T)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Valery Ozenne (V)

CNRS, CRMSB, UMR 5536, IHU Liryc, Université de Bordeaux, Bordeaux, France.

Alexander Lewin (A)

Institute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, Jülich, Germany.
RWTH, Aachen University, Aachen, Germany.

Lisa Story (L)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Department of Women & Children's Health, King's College London, London, UK.

Enrico De Vita (E)

Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
MRI Physics Group, Great Ormond Street Hospital, London, UK.

Mary Rutherford (M)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Kuberan Pushparajah (K)

Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Jo Hajnal (J)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Jana Hutter (J)

Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

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