Improving Sensitivity of Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease Using Transfer Learning of Deep Learning‐Based ASL Denoising
| العنوان: | Improving Sensitivity of Arterial Spin Labeling Perfusion |
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| المؤلفون: | Lei Zhang, Alzheimer's Disease Neuroimaging Initiative, Danfeng Xie, David Dreizin, Elias R. Melhem, Ze Wang, Jean Jeudy, Yiran Li, Tong Lu, Donghui Song, Aldo Camargo |
| المصدر: | J Magn Reson Imaging |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Adult, Image quality, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Alzheimer Disease, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Sensitivity (control systems), Retrospective Studies, business.industry, Deep learning, Brain, Magnetic Resonance Imaging, 3. Good health, Perfusion, Cerebral blood flow, Cerebrovascular Circulation, Test set, Female, Spin Labels, Analysis of variance, Artificial intelligence, Nuclear medicine, business, Transfer of learning, 030217 neurology & neurosurgery |
| الوصف: | BACKGROUND Arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) denoising through deep learning (DL) often faces insufficient training data from patients. One solution is to train DL models using healthy subjects' data which are more widely available and transfer them to patients' data. PURPOSE To evaluate the transferability of a DL-based ASL MRI denoising method (DLASL). STUDY TYPE Retrospective. SUBJECTS Four hundred and twenty-eight subjects (189 females) from three cohorts. FIELD STRENGTH/SEQUENCE 3 T two-dimensional (2D) echo-planar imaging (EPI)-based pseudo-continuous ASL (PCASL) and 2D EPI-based pulsed ASL (PASL) sequences. ASSESSMENT DLASL was trained using young healthy adults' PCASL data (Dataset 1: 250/30 subjects as training/validation set) and was directly transferred (DTF) to PCASL data from Dataset 2 (45 subjects test set) of normal controls (NC) and Alzheimer's disease (AD) groups. DLASL was fine-tuned (DLASLFT) and tested on PASL data from Dataset 3 (103 subjects test set) of NC and AD. An existing non-DL method (NonDL) was used for comparison. Cerebral blood flow (CBF) images from ASL MRI were compared between NC and AD to assess characteristic hypoperfusion (lower CBF) patterns in AD. CBF image quality and CBF map sensitivity for detecting hypoperfusion using peak t-value and suprathreshold cluster size are outcome measures. STATISTICAL TESTS Paired t-test, two-sample t-test, one-way analysis of variance, and Tukey honestly significant difference, and linear mixed-effects models were used. P |
| تدمد: | 1522-2586 1053-1807 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::340a007053c24aa8a66198f2653f5f63 https://doi.org/10.1002/jmri.27984 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....340a007053c24aa8a66198f2653f5f63 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15222586 10531807 |
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