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Lyu, Ilwoo
3D Shape Analysis Lab.
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dc.citation.number 11 -
dc.citation.startPage e4795 -
dc.citation.title NMR IN BIOMEDICINE -
dc.citation.volume 35 - Tessema, Abel Worku - Lee, Hansol - Gong, Yelim - Cho, Hwapyeong - Adem, Hamdia Murad - Lyu, Ilwoo - Lee, Jaehyeok - Cho, Hyungjoon - 2023-12-21T13:36:40Z - 2023-12-21T13:36:40Z - 2022-07-28 - 2022-11 -
dc.description.abstract The establishment of an unbiased protocol for the automated volumetric measurement of iron-rich regions in the substantia nigra (SN) is clinically important for diagnosing neurodegenerative diseases exhibiting midbrain atrophy, such as progressive supranuclear palsy (PSP). This study aimed to automatically quantify the volume and surface properties of the iron-rich 3D regions in the SN using the quantitative MRI-R2* map. Three hundred and sixty-seven slices of R2* map and susceptibility-weighted imaging (SWI) at 3-T MRI from healthy control (HC) individuals and Parkinson's disease (PD) patients were used to train customized U-net++ convolutional neural network based on expert-segmented masks. Age- and sex-matched participants were selected from HC, PD, and PSP groups to automate the volumetric determination of iron-rich areas in the SN. Dice similarity coefficient values between expert-segmented and detected masks from the proposed network were for R2* maps and for SWI. Reductions in iron-rich SN volume from the R2* map (SWI) were observed in PSP with area under the receiver operating characteristic curve values of 0.96 (0.89) and 0.98 (0.92) compared with HC and PD, respectively. The mean curvature of the PSP showed SN deformation along the side closer to the red nucleus. We demonstrated the automated volumetric measurement of iron-rich regions in the SN using deep learning can quantify the SN atrophy in PSP compared with PD and HC. -
dc.identifier.bibliographicCitation NMR IN BIOMEDICINE, v.35, no.11, pp.e4795 -
dc.identifier.doi 10.1002/nbm.4795 -
dc.identifier.issn 0952-3480 -
dc.identifier.scopusid 2-s2.0-85134584927 -
dc.identifier.uri -
dc.identifier.url -
dc.identifier.wosid 000829294900001 -
dc.language 영어 -
dc.publisher WILEY -
dc.title Automated Volumetric Determination of High R2* Regions in Substantia Nigra : A Feasibility Study of Quantifying SN Atrophy in Progressive Supranulcear Palsy -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Biophysics;Radiology, Nuclear Medicine & Medical Imaging;Spectroscopy -
dc.relation.journalResearchArea Biophysics;Radiology, Nuclear Medicine & Medical Imaging;Spectroscopy -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor convolutional neural network -
dc.subject.keywordAuthor progressive supranuclear palsy -
dc.subject.keywordAuthor quantitative analysis -
dc.subject.keywordAuthor segmentation -
dc.subject.keywordAuthor substantia nigra -
dc.subject.keywordPlus PARKINSONS-DISEASE -
dc.subject.keywordPlus CLINICAL-DIAGNOSIS -


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