Super‐resolution reconstruction of T2‐weighted thick‐slice neonatal brain MRI scans

Article Article scientifique Article Super‐resolution reconstruction of T2‐weighted thick‐slice neonatal brain MRI scans eng 2021-09-10 2022 author Askin Incebacak Nurten Ceren 0000-0002-8521-4133 Department of Radiology and Medical Informatics University of Geneva Geneva Switzerland 860941 author Sui Yao CRL, Department of Radiology, Boston Children's Hospital Harvard Medical School Boston Massachusetts USA author Gui Levy Laura Division of Development and Growth, Department of Woman, Child and Adolescent University Hospitals of Geneva Geneva Switzerland 702098 author Merlini Laura Pediatric Radiology Unit, Division of Radiology University Hospitals of Geneva Geneva Switzerland 403242 author Alves Sa De Almeida Joana Rita Division of Development and Growth, Department of Woman, Child and Adolescent University Hospitals of Geneva Geneva Switzerland 863867 author Courvoisier Sébastien Department of Radiology and Medical Informatics University of Geneva Geneva Switzerland 629128 Centre d'imagerie bio-médicale (CIBM) author Wallace Tess E. CRL, Department of Radiology, Boston Children's Hospital Harvard Medical School Boston Massachusetts USA author Delattre-Klauser Antoine 0000-0003-3019-9914 Department of Radiology and Medical Informatics University of Geneva Geneva Switzerland 557826 Centre d'imagerie bio-médicale (CIBM) author Afacan Onur 0000-0003-2112-3205 CRL, Department of Radiology, Boston Children's Hospital Harvard Medical School Boston Massachusetts USA author Warfield Simon K. CRL, Department of Radiology, Boston Children's Hospital Harvard Medical School Boston Massachusetts USA author Hüppi Petra Susan Division of Development and Growth, Department of Woman, Child and Adolescent University Hospitals of Geneva Geneva Switzerland 133591 Département de Pédiatrie, Gynécologie et Obstétrique (PETRI) author Lazeyras François 0000-0002-9364-0634 Department of Radiology and Medical Informatics University of Geneva Geneva Switzerland 512748 Département de radiologie et informatique médicale (RADIO) 68-79 10.1111/jon.12929 34506677 1051-2284 PMC8752487 https://onlinelibrary.wiley.com/doi/10.1111/jon.12929 Background and purpose: Super-resolutionreconstruction (SRR) can be used to reconstruct 3-dimensional (3D) high-resolution (HR) volume from several 2-dimensional (2D) low-resolution (LR) stacks of MRI slices. The purpose is to compare lengthy 2D T2-weighted HR image acquisition of neonatal subjects with 3D SRR from several LR stacks in terms of image quality for clinical and morphometric assessments. Methods: LR brain images were acquired from neonatal subjects to reconstruct isotropic 3D HR volumes by using SRR algorithm. Quality assessments were done by an experienced pediatric radiologist using scoring criteria adapted to newborn anatomical landmarks. The Wilcoxon signed-rank test was used to compare scoring results between HR and SRR images. For quantitative assessments, morphology-based segmentation was performed on both HR and SRR images and Dice coefficients between the results were computed. Additionally, simple linear regression was performed to compare the tissue volumes. Results: No statistical difference was found between HR and SRR structural scores using Wilcoxon signed-rank test (p = .63, Z = .48). Regarding segmentation results, R2 values for the volumes of gray matter, white matter, cerebrospinal fluid, basal ganglia, cerebellum, and total brain volume including brain stem ranged between .95 and .99. Dice coefficients between the segmented regions from HR and SRR ranged between .83 ± .04 and .96 ± .01. Conclusion: Qualitative and quantitative assessments showed that 3D SRR of several LR images produces images that are of comparable quality to standard 2D HR image acquisition for healthy neonatal imaging without loss of anatomical details with similar edge definition allowing the detection of fine anatomical structures and permitting comparable morphometric measurement. T2-weighted Mitigate motion Neonatal brain MRI Segmentation Super-resolution Algorithms Brain / diagnostic imaging Child Humans Imaging, Three-Dimensional / methods Infant, Newborn Magnetic Resonance Imaging / methods Neuroimaging Dewey 616.0757 Dewey 618 Swiss National Science Foundation Motion robust MRI acquisition for neonate imaging 184160 CH Careers NIH R01 EB019483 58 Département de pédiatrie, gynécologie et obstétrique 223 62 Département de radiologie et informatique médicale 227 false 150 L'imagerie cérébrale 184 523 CIBM 863 284 Groupe Lazeyras Francois (IRM fonctionnelle et métabolique) 539 Journal of neuroimaging 32 1 633235e2-80e6-496c-9621-52ad39f2f5e8 Article (Published version) Public 2022_super.pdf 8804762 application/pdf CC BY-NC-ND-4.0 1b90b2e1f76392996ae843e7914fb9439ef13b67bc451482d6eca99aabfeb3d5 openAccess Faculté de médecine / Section de médecine clinique / Département de pédiatrie, gynécologie et obstétrique Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Title	Published in	Year	Views	Downloads

Motion Insensitivities in Newborn MRI		2022	500	23
Super‐resolution reconstruction of T2‐weighted thick‐slice neonatal brain MRI scans	Journal of neuroimaging	2022	118	188
Cerebral Gray and White Matter Involvement in Anorexia Nervosa Evaluated by T1, T2, and T2* Mapping	Journal of Neuroimaging	2019	385	5

Archive ouverte UNIGE

Askin Incebacak, Nurten Ceren

account_balance UNIGE affiliation entities

UNIGE research groups

UNIGE affiliation entities