Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images

被引：0
|
作者：
Kensei Matsuo
Takeshi Nakaura
Kosuke Morita
Hiroyuki Uetani
Yasunori Nagayama
Masafumi Kidoh
Masamichi Hokamura
Yuichi Yamashita
Kensuke Shinoda
Mitsuharu Ueda
Akitake Mukasa
Toshinori Hirai
机构：
[1] Kumamoto University Hospital,Department of Central Radiology
[2] Kumamoto University,Department of Diagnostic Radiology, Graduate School of Medical Sciences
[3] Canon Medical Systems Corporation,MRI Systems Division
[4] Canon Medical Systems Corporation,Department of Neurology, Graduate School of Medical Sciences
[5] Kumamoto University,Department of Neurosurgery, Graduate School of Medical Sciences
[6] Kumamoto University,undefined
来源：
Neuroradiology | 2023年 / 65卷
关键词：
Retrospective studies; Magnetic resonance imaging; Echo-planar imaging; Diffusion; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1619 / 1629
页数：10
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