小脳橋角部腫瘍の術前評価におけるDLR を用いた高分解能 3D T2WI の有効性

Persistent ID (NDL): info:ndljp/pid/14436880

Material type: 博士論文

Author: 外村, 政道

Publisher: 熊本大学

Date granted: 2025-03-25

Material Format: Digital

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Degree grantor and degree: 熊本大学,博士（医学）

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Material Type: 博士論文
Title: 小脳橋角部腫瘍の術前評価におけるDLR を用いた高分解能 3D T2WI の有効性
Author/Editor: 外村, 政道
Author Heading: 外村, 政道
Publication, Distribution, etc.: 熊本大学
Publication Date: 2025-03-25
Publication Date (W3CDTF): 2025-03-25
Alternative Title: Effect of deep learning‑based reconstruction on high‑resolution three‑dimensional T2‑weighted fast asymmetric spin‑echo imaging in the preoperative evaluation of cerebellopontine angle tumors
Degree Grantor: 熊本大学
Date Granted: 2025-03-25
Date Granted (W3CDTF): 2025-03-25
Dissertation Number: 甲第2558号
Degree Type: 博士（医学）
Text Language Code: eng
Subject Heading: cerebellopontine angle tumors
contrast-to-noise ratios
deep learning-based reconstruction
tumor nerve
NDC: 377.5
Target Audience: 一般
Note (General): 機関リポジトリ記載の権利情報: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00234-024-03328-9
機関リポジトリ記載の権利情報: Reproduced with permission from Springer Nature
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Periodical Title (URI): http://hdl.handle.net/2298/0002001029
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