Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting

Katy Vecchiato; Alexia Egloff Collado; Olivia Carney; Ata Siddiqui; Emer Hughes; Louise Dillon; Kathleen Colford; Elaine Green; Rui Pedro A. G. Teixeira; Anthony Price; Giulio Ferrazzi; Jo Hajnal; David Carmichael; Lucilio Cordero-Grande; Jonathan O'Muircheartaigh

doi:10.1101/2020.09.09.20190777

Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting

Katy Vecchiato, Alexia Egloff Collado, Olivia Carney, Ata Siddiqui, Emer Hughes, Louise Dillon, Kathleen Colford, Elaine Green, Rui Pedro A. G. Teixeira, Anthony Price, Giulio Ferrazzi, Jo Hajnal, David Carmichael, Lucilio Cordero-Grande, Jonathan O'Muircheartaigh

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

BACKGROUND AND PURPOSE: Head motion causes image degradation in brain MR imaging examinations, negatively impacting image quality, especially in pediatric populations. Here, we used a retrospective motion correction technique in children and assessed image quality improvement for 3D MR imaging acquisitions. MATERIALS AND METHODS: We prospectively acquired brain MR imaging at 3T using 3D sequences, T1-weighted MPRAGE, T2-weighted TSE, and FLAIR in 32 unsedated children, including 7 with epilepsy (age range, 2-18 years). We implemented a novel motion correction technique through a modification of k-space data acquisition: Distributed and Incoherent Sample Orders for Reconstruction Deblurring by using Encoding Redundancy (DISORDER). For each participant and technique, we obtained 3 reconstructions as acquired (Aq), after DISORDER motion correction (Di), and Di with additional outlier rejection (DiOut). We analyzed 288 images quantitatively, measuring 2 objective no-reference image quality metrics: gradient entropy (GE) and MPRAGE white matter (WM) homogeneity. As a qualitative metric, we presented blinded and randomized images to 2 expert neuroradiologists who scored them for clinical readability. RESULTS: Both image quality metrics improved after motion correction for all modalities, and improvement correlated with the amount of intrascan motion. Neuroradiologists also considered the motion corrected images as of higher quality (Wilcoxon z ¼ -3.164 for MPRAGE; z ¼ -2.066 for TSE; z ¼ -2.645 for FLAIR; all P,.05). CONCLUSIONS: Retrospective image motion correction with DISORDER increased image quality both from an objective and qualitative perspective. In 75% of sessions, at least 1 sequence was improved by this approach, indicating the benefit of this technique in unsedated children for both clinical and research environments.

Original language	English
Pages (from-to)	774-781
Number of pages	8
Journal	AJNR. American journal of neuroradiology
Volume	42
Issue number	4
DOIs	https://doi.org/10.1101/2020.09.09.20190777 https://doi.org/10.3174/ajnr.A7001
Publication status	Published - 1 Apr 2021

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Vecchiato, K., Egloff Collado, A., Carney, O., Siddiqui, A., Hughes, E., Dillon, L., Colford, K., Green, E., Teixeira, R. P. A. G., Price, A., Ferrazzi, G., Hajnal, J., Carmichael, D., Cordero-Grande, L., & O'Muircheartaigh, J. (2021). Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting. AJNR. American journal of neuroradiology, 42(4), 774-781. https://doi.org/10.1101/2020.09.09.20190777, https://doi.org/10.3174/ajnr.A7001

@article{df144e21de6147598306b0c31f90f7af,

title = "Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting",

abstract = "BACKGROUND AND PURPOSE: Head motion causes image degradation in brain MR imaging examinations, negatively impacting image quality, especially in pediatric populations. Here, we used a retrospective motion correction technique in children and assessed image quality improvement for 3D MR imaging acquisitions. MATERIALS AND METHODS: We prospectively acquired brain MR imaging at 3T using 3D sequences, T1-weighted MPRAGE, T2-weighted TSE, and FLAIR in 32 unsedated children, including 7 with epilepsy (age range, 2-18 years). We implemented a novel motion correction technique through a modification of k-space data acquisition: Distributed and Incoherent Sample Orders for Reconstruction Deblurring by using Encoding Redundancy (DISORDER). For each participant and technique, we obtained 3 reconstructions as acquired (Aq), after DISORDER motion correction (Di), and Di with additional outlier rejection (DiOut). We analyzed 288 images quantitatively, measuring 2 objective no-reference image quality metrics: gradient entropy (GE) and MPRAGE white matter (WM) homogeneity. As a qualitative metric, we presented blinded and randomized images to 2 expert neuroradiologists who scored them for clinical readability. RESULTS: Both image quality metrics improved after motion correction for all modalities, and improvement correlated with the amount of intrascan motion. Neuroradiologists also considered the motion corrected images as of higher quality (Wilcoxon z ¼ -3.164 for MPRAGE; z ¼ -2.066 for TSE; z ¼ -2.645 for FLAIR; all P,.05). CONCLUSIONS: Retrospective image motion correction with DISORDER increased image quality both from an objective and qualitative perspective. In 75% of sessions, at least 1 sequence was improved by this approach, indicating the benefit of this technique in unsedated children for both clinical and research environments.",

author = "Katy Vecchiato and {Egloff Collado}, Alexia and Olivia Carney and Ata Siddiqui and Emer Hughes and Louise Dillon and Kathleen Colford and Elaine Green and Teixeira, {Rui Pedro A. G.} and Anthony Price and Giulio Ferrazzi and Jo Hajnal and David Carmichael and Lucilio Cordero-Grande and Jonathan O'Muircheartaigh",

note = "Funding Information: Disclosures: Emer Hughes—UNRELATED: Employment: Kings College London. Kathleen Colford—UNRELATED: Employment: Kings College London. Anthony Price—RELATED: Grant: ERC grant agreement no. 319456 (dHCP project), Comments: Covers salary*. Joseph Hajnal—RELATED: Grant: ERC, Comments: Research grant that supported development of the underlying methodology*. David Carmichael—UNRELATED: Consultancy: Ives EEG Solutions, Comments: Consultancy for electrode safety testing performed in November 2017; Grants/ Grants Pending: I have grants awarded from GOSHCC a UK children{\textquoteright}s medical charity*. Lucilio Cordero-Grande—RELATED: Grant: European Research Council/ Ministry of Science and Innovation, Spain, Comments: Funds to pay salary respectively at King{\textquoteright}s College London/Technical University of Madrid*. Jonathan O{\textquoteright}Muircheartaigh—RELATED: Grant: Wellcome Trust*; UNRELATED: Employment: King{\textquoteright}s College London. *Money paid to institution. Funding Information: This research received funding from a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 206675/Z/17/Z). The study was also supported in part by the Wellcome Engineering and Physical Sciences Research Council Center for Medical Engineering at King{\textquoteright}s College London (grant WT 203148/Z/16/Z), the Medical Research Council (UK) (grants MR/ K006355/1 and MR/LO11530/1), and Medical Research Council Center for Neurodevelopmental Disorders, King{\textquoteright}s College London (MR/N026063/1). Infrastructure support was provided by the National Institute for Health Research Mental Health Biomedical Research Center at South London, Maudsley NHS Foundation Trust, King's College London, the National Institute for Health Research Mental Health Biomedical Research Center at Guys, and St Thomas{\textquoteright} Hospitals NHS Foundation Trust. Paper previously presented as a poster at: European Congress of Magnetic Resonance in Neuropediatrics, February 26-29, 2020; in Marseille, France. Please address correspondence to Dr. Katy Vecchiato, MD, Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, Department of Perinatal Imaging and Health, King{\textquoteright}s College London, First Floor, South Wing, St Thomas{\textquoteright} Hospital, SE17EH, London, United Kingdom; e-mail: [email protected] Publisher Copyright: {\textcopyright} 2021 American Society of Neuroradiology. All rights reserved.",

year = "2021",

month = apr,

day = "1",

doi = "10.1101/2020.09.09.20190777",

language = "English",

volume = "42",

pages = "774--781",

journal = "AJNR. American journal of neuroradiology",

issn = "0195-6108",

publisher = "American Society of Neuroradiology",

number = "4",

}

Vecchiato, K , Egloff Collado, A , Carney, O, Siddiqui, A, Hughes, E, Dillon, L, Colford, K, Green, E, Teixeira, RPAG , Price, A , Ferrazzi, G , Hajnal, J , Carmichael, D , Cordero-Grande, L & O'Muircheartaigh, J 2021, 'Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting', AJNR. American journal of neuroradiology, vol. 42, no. 4, pp. 774-781. https://doi.org/10.1101/2020.09.09.20190777, https://doi.org/10.3174/ajnr.A7001

TY - JOUR

T1 - Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting

AU - Vecchiato, Katy

AU - Egloff Collado, Alexia

AU - Carney, Olivia

AU - Siddiqui, Ata

AU - Hughes, Emer

AU - Dillon, Louise

AU - Colford, Kathleen

AU - Green, Elaine

AU - Teixeira, Rui Pedro A. G.

AU - Price, Anthony

AU - Ferrazzi, Giulio

AU - Hajnal, Jo

AU - Carmichael, David

AU - Cordero-Grande, Lucilio

AU - O'Muircheartaigh, Jonathan

N1 - Funding Information: Disclosures: Emer Hughes—UNRELATED: Employment: Kings College London. Kathleen Colford—UNRELATED: Employment: Kings College London. Anthony Price—RELATED: Grant: ERC grant agreement no. 319456 (dHCP project), Comments: Covers salary*. Joseph Hajnal—RELATED: Grant: ERC, Comments: Research grant that supported development of the underlying methodology*. David Carmichael—UNRELATED: Consultancy: Ives EEG Solutions, Comments: Consultancy for electrode safety testing performed in November 2017; Grants/ Grants Pending: I have grants awarded from GOSHCC a UK children’s medical charity*. Lucilio Cordero-Grande—RELATED: Grant: European Research Council/ Ministry of Science and Innovation, Spain, Comments: Funds to pay salary respectively at King’s College London/Technical University of Madrid*. Jonathan O’Muircheartaigh—RELATED: Grant: Wellcome Trust*; UNRELATED: Employment: King’s College London. *Money paid to institution. Funding Information: This research received funding from a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 206675/Z/17/Z). The study was also supported in part by the Wellcome Engineering and Physical Sciences Research Council Center for Medical Engineering at King’s College London (grant WT 203148/Z/16/Z), the Medical Research Council (UK) (grants MR/ K006355/1 and MR/LO11530/1), and Medical Research Council Center for Neurodevelopmental Disorders, King’s College London (MR/N026063/1). Infrastructure support was provided by the National Institute for Health Research Mental Health Biomedical Research Center at South London, Maudsley NHS Foundation Trust, King's College London, the National Institute for Health Research Mental Health Biomedical Research Center at Guys, and St Thomas’ Hospitals NHS Foundation Trust. Paper previously presented as a poster at: European Congress of Magnetic Resonance in Neuropediatrics, February 26-29, 2020; in Marseille, France. Please address correspondence to Dr. Katy Vecchiato, MD, Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, Department of Perinatal Imaging and Health, King’s College London, First Floor, South Wing, St Thomas’ Hospital, SE17EH, London, United Kingdom; e-mail: [email protected] Publisher Copyright: © 2021 American Society of Neuroradiology. All rights reserved.

PY - 2021/4/1

Y1 - 2021/4/1

N2 - BACKGROUND AND PURPOSE: Head motion causes image degradation in brain MR imaging examinations, negatively impacting image quality, especially in pediatric populations. Here, we used a retrospective motion correction technique in children and assessed image quality improvement for 3D MR imaging acquisitions. MATERIALS AND METHODS: We prospectively acquired brain MR imaging at 3T using 3D sequences, T1-weighted MPRAGE, T2-weighted TSE, and FLAIR in 32 unsedated children, including 7 with epilepsy (age range, 2-18 years). We implemented a novel motion correction technique through a modification of k-space data acquisition: Distributed and Incoherent Sample Orders for Reconstruction Deblurring by using Encoding Redundancy (DISORDER). For each participant and technique, we obtained 3 reconstructions as acquired (Aq), after DISORDER motion correction (Di), and Di with additional outlier rejection (DiOut). We analyzed 288 images quantitatively, measuring 2 objective no-reference image quality metrics: gradient entropy (GE) and MPRAGE white matter (WM) homogeneity. As a qualitative metric, we presented blinded and randomized images to 2 expert neuroradiologists who scored them for clinical readability. RESULTS: Both image quality metrics improved after motion correction for all modalities, and improvement correlated with the amount of intrascan motion. Neuroradiologists also considered the motion corrected images as of higher quality (Wilcoxon z ¼ -3.164 for MPRAGE; z ¼ -2.066 for TSE; z ¼ -2.645 for FLAIR; all P,.05). CONCLUSIONS: Retrospective image motion correction with DISORDER increased image quality both from an objective and qualitative perspective. In 75% of sessions, at least 1 sequence was improved by this approach, indicating the benefit of this technique in unsedated children for both clinical and research environments.

AB - BACKGROUND AND PURPOSE: Head motion causes image degradation in brain MR imaging examinations, negatively impacting image quality, especially in pediatric populations. Here, we used a retrospective motion correction technique in children and assessed image quality improvement for 3D MR imaging acquisitions. MATERIALS AND METHODS: We prospectively acquired brain MR imaging at 3T using 3D sequences, T1-weighted MPRAGE, T2-weighted TSE, and FLAIR in 32 unsedated children, including 7 with epilepsy (age range, 2-18 years). We implemented a novel motion correction technique through a modification of k-space data acquisition: Distributed and Incoherent Sample Orders for Reconstruction Deblurring by using Encoding Redundancy (DISORDER). For each participant and technique, we obtained 3 reconstructions as acquired (Aq), after DISORDER motion correction (Di), and Di with additional outlier rejection (DiOut). We analyzed 288 images quantitatively, measuring 2 objective no-reference image quality metrics: gradient entropy (GE) and MPRAGE white matter (WM) homogeneity. As a qualitative metric, we presented blinded and randomized images to 2 expert neuroradiologists who scored them for clinical readability. RESULTS: Both image quality metrics improved after motion correction for all modalities, and improvement correlated with the amount of intrascan motion. Neuroradiologists also considered the motion corrected images as of higher quality (Wilcoxon z ¼ -3.164 for MPRAGE; z ¼ -2.066 for TSE; z ¼ -2.645 for FLAIR; all P,.05). CONCLUSIONS: Retrospective image motion correction with DISORDER increased image quality both from an objective and qualitative perspective. In 75% of sessions, at least 1 sequence was improved by this approach, indicating the benefit of this technique in unsedated children for both clinical and research environments.

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U2 - 10.1101/2020.09.09.20190777

DO - 10.1101/2020.09.09.20190777

M3 - Article

SN - 0195-6108

VL - 42

SP - 774

EP - 781

JO - AJNR. American journal of neuroradiology

JF - AJNR. American journal of neuroradiology

IS - 4

ER -

Evaluation of DISORDER: retrospective image motion correction for volumetric brain MRI in a pediatric setting

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