Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound

The relationship between fetal cortical development and gestational age has been commonly studied, with cortical folding events found to be temporally consistent across the healthy population. In order to utilise this relationship in clinical practice, manual fissure grading charts have been propose...

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Egile Nagusiak: Wyburd, MK, Hesse, LS, Aliasi, M, Jenkinson, M, Papageorghiou, AT, Haak, MC, Namburete, AIL
Formatua: Conference item
Hizkuntza:English
Argitaratua: Springer 2021
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author Wyburd, MK
Hesse, LS
Aliasi, M
Jenkinson, M
Papageorghiou, AT
Haak, MC
Namburete, AIL
author_facet Wyburd, MK
Hesse, LS
Aliasi, M
Jenkinson, M
Papageorghiou, AT
Haak, MC
Namburete, AIL
author_sort Wyburd, MK
collection OXFORD
description The relationship between fetal cortical development and gestational age has been commonly studied, with cortical folding events found to be temporally consistent across the healthy population. In order to utilise this relationship in clinical practice, manual fissure grading charts have been proposed to compare fissure appearance or measurements to the known fetal gestational age. However, these techniques are found to be extremely user-dependent, time-consuming and error-prone. In this study, we propose a deep learning-based automated method to assess the development of three fissures: the Sylvian fissure (SF), Parieto-occipital fissure (POF) and Calcarine sulcus (CLC), by predicting fetal gestational age based on their respective morphology. This fissure-specific age prediction can then be compared to the true gestational age to determine if regional cortical development is healthy, delayed, or advanced. Our best-performing CNN estimated the gestational age with an error of 3.4, 5.0, 4.9 and 4.1 days, for the SF, POF, CLC and whole-brain, respectively, outperforming previously reported ultrasound whole-brain age prediction techniques.
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spelling oxford-uuid:3cd78892-5a7b-4911-a10d-5d9d7c3b49112024-07-17T11:58:31ZAssessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasoundConference itemhttp://purl.org/coar/resource_type/c_5794uuid:3cd78892-5a7b-4911-a10d-5d9d7c3b4911EnglishSymplectic ElementsSpringer2021Wyburd, MKHesse, LSAliasi, MJenkinson, MPapageorghiou, ATHaak, MCNamburete, AILThe relationship between fetal cortical development and gestational age has been commonly studied, with cortical folding events found to be temporally consistent across the healthy population. In order to utilise this relationship in clinical practice, manual fissure grading charts have been proposed to compare fissure appearance or measurements to the known fetal gestational age. However, these techniques are found to be extremely user-dependent, time-consuming and error-prone. In this study, we propose a deep learning-based automated method to assess the development of three fissures: the Sylvian fissure (SF), Parieto-occipital fissure (POF) and Calcarine sulcus (CLC), by predicting fetal gestational age based on their respective morphology. This fissure-specific age prediction can then be compared to the true gestational age to determine if regional cortical development is healthy, delayed, or advanced. Our best-performing CNN estimated the gestational age with an error of 3.4, 5.0, 4.9 and 4.1 days, for the SF, POF, CLC and whole-brain, respectively, outperforming previously reported ultrasound whole-brain age prediction techniques.
spellingShingle Wyburd, MK
Hesse, LS
Aliasi, M
Jenkinson, M
Papageorghiou, AT
Haak, MC
Namburete, AIL
Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title_full Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title_fullStr Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title_full_unstemmed Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title_short Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
title_sort assessment of regional cortical development through fissure based gestational age estimation in 3d fetal ultrasound
work_keys_str_mv AT wyburdmk assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT hessels assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT aliasim assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT jenkinsonm assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT papageorghiouat assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT haakmc assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound
AT nambureteail assessmentofregionalcorticaldevelopmentthroughfissurebasedgestationalageestimationin3dfetalultrasound