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Clinical Feasibility of Automated Brain Tissue and Myelin Volumetry of Normal Brian Using Synthetic Magnetic Resonance Imaging With Fast Imaging Protocol: A Single-Center Pilot Study

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单位: [1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University [2]Department of Radiology, Beijing ChuiYangLiu Hospital, Beijing, China.
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关键词: synthetic MRI quantitative MRI fast scan brain tissue volume segmentation

摘要:
This study aimed to investigate the clinical feasibility of synthetic magnetic resonance imaging (MRI) with fast imaging protocol for automated brain tissue and myelin volumetry in healthy volunteers at 3.0-T MRI.Thirty-four healthy volunteers were scanned using synthetic MRI with 3 sets of scan parameters: groups Fast (FAS; 2 minutes, 29 seconds), Routine (ROU; 4 minutes, 7 seconds), and Research (RES; 7 minutes, 46 seconds). White matter (WM), gray matter (GM), cerebrospinal fluid (CSF), non-WM/GM/CSF (NoN), brain parenchymal volume (BPV), intracranial volume (ICV), and myelin volume (MYV) were compared between 3 groups. Linear correlation analysis was performed for measured volumes of groups FAS and ROU versus group RES.Significant differences were found in all the measured brain tissue volumes between groups FAS and ROU (P < 0.001), FAS and RES (P < 0.05), and ROU and RES (P < 0.05), except for NoN between groups ROU and RES (P = 0.0673), ICV between groups FAS and ROU (P = 0.2552), and ICV between groups FAS and RES (P = 0.4898). The intergroup coefficients of variation were 4.36% for WM, 6.39% for GM, 10.14% for CSF, 67.5% for NoN, 1.21% for BPV, 0.08% for ICV, and 5.88% for MYV. Strong linear correlation was demonstrated for WM, GM, CSF, BPV, ICV, and MYV (R = 0.9230-1.131) between FAS versus RES, and ROU versus RES.Using synthetic MRI with fast imaging protocol can change the measured brain tissue volumes of volunteers. It is necessary to use consistent acquisition protocols for comparing or following up cases quantitatively.Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.

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出版当年[2022]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2021]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2021版] 出版当年五年平均[2017-2021] 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者单位: [1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University [2]Department of Radiology, Beijing ChuiYangLiu Hospital, Beijing, China.
通讯作者:
通讯机构: [1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University [*1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Yongan Rd 95, 100050, Beijing, China
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