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dc.contributor.authorOkuchi, Sachien
dc.contributor.authorFushimi, Yasutakaen
dc.contributor.authorYoshida, Kazumichien
dc.contributor.authorNakajima, Satoshien
dc.contributor.authorSakata, Akihikoen
dc.contributor.authorHinoda, Takuyaen
dc.contributor.authorOtani, Sayoen
dc.contributor.authorSagawa, Hajimeen
dc.contributor.authorZhou, Kunen
dc.contributor.authorYamao, Yukihiroen
dc.contributor.authorOkawa, Masakazuen
dc.contributor.authorNakamoto, Yujien
dc.contributor.alternative奥知, 左智ja
dc.contributor.alternative伏見, 育崇ja
dc.contributor.alternative吉田, 和道ja
dc.contributor.alternative中島, 諭ja
dc.contributor.alternative坂田, 昭彦ja
dc.contributor.alternative日野田, 卓也ja
dc.contributor.alternative大谷, 紗代ja
dc.contributor.alternative佐川, 肇ja
dc.contributor.alternative山尾, 幸広ja
dc.contributor.alternative大川, 将和ja
dc.contributor.alternative中本, 裕士ja
dc.date.accessioned2023-10-04T08:06:27Z-
dc.date.available2023-10-04T08:06:27Z-
dc.date.issued2022-10-21-
dc.identifier.urihttp://hdl.handle.net/2433/285317-
dc.description.abstractDiffusion-weighted magnetic resonance imaging is prone to have susceptibility artifacts in an inhomogeneous magnetic field. We compared distortion and artifacts among three diffusion acquisition techniques (single-shot echo-planar imaging [SS-EPI DWI], readout-segmented EPI [RESOLVE DWI], and 2D turbo gradient- and spin-echo diffusion-weighted imaging with non-Cartesian BLADE trajectory [TGSE-BLADE DWI]) in healthy volunteers and in patients with a cerebral aneurysm clip. Seventeen healthy volunteers and 20 patients who had undergone surgical cerebral aneurysm clipping were prospectively enrolled. SS-EPI DWI, RESOLVE DWI, and TGSE-BLADE DWI of the brain were performed using 3 T scanners. Distortion was the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI near air–bone interfaces in healthy volunteers (P < 0.001). Length of clip-induced artifact and distortion near the metal clip were the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI (P < 0.01). Image quality scores for geometric distortion, susceptibility artifacts, and overall image quality in both healthy volunteers and patients were the best in TGSE-BLADE DWI, and better in RESOLVE DWI than SS-EPI DWI (P < 0.001). Among the three DWI sequences, image quality was the best in TGSE-BLADE DWI in terms of distortion and artifacts, in both healthy volunteers and patients with an aneurysm clip.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.rights© The Author(s) 2022en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectMedical researchen
dc.subjectNeurological disordersen
dc.titleComparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clippingen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleScientific Reportsen
dc.identifier.volume12-
dc.relation.doi10.1038/s41598-022-22760-6-
dc.textversionpublisher-
dc.identifier.artnum17689-
dc.identifier.pmid36271294-
dcterms.accessRightsopen access-
datacite.awardNumber21K20834-
datacite.awardNumber21K15623-
datacite.awardNumber21K15826-
datacite.awardNumber22K07746-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K20834/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K15623/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K15826/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K07746/-
dc.identifier.eissn2045-2322-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleMRI・PETによる神経膠腫の遺伝子型診断と機械学習を用いた自動診断法の研究ja
jpcoar.awardTitle神経変性疾患希少疾患データベース作成と画像診断支援アルゴリズムに関する研究ja
jpcoar.awardTitlePETとMRIを活用した神経膠腫の分子生物学的プロファイルに迫る術前診断法の確立ja
jpcoar.awardTitle小児脳MRIにおけるMR Fingerprintingの応用ja
出現コレクション:学術雑誌掲載論文等

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