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Reply to Letter to the Editor: "Feasibility study on the clinical application of CT-based synthetic brain T1-weighted MRI: comparison with conventional T1-weighted MRI".

作者信息

Li Zhaotong, Cao Gan, Gao Song, Xia Jun

机构信息

Laboratory of Digital Medicine, Department of Medical Informatics, Medical School of Nantong University, Nantong, 226001, China.

Department of Radiology, Longgang Central Hospital of Shenzhen, No. 6082 Longgang Avenue, Longgang District, Shenzhen, 518000, China.

出版信息

Eur Radiol. 2025 Feb;35(2):594-596. doi: 10.1007/s00330-024-10875-5. Epub 2024 Aug 13.

DOI:10.1007/s00330-024-10875-5
PMID:39136704
Abstract
摘要

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本文引用的文献

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Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function.使用具有上下文损失函数的卷积神经网络从计算机断层扫描数据合成磁共振图像。
Quant Imaging Med Surg. 2022 Jun;12(6):3151-3169. doi: 10.21037/qims-21-846.
2
MRI-based synthetic CT of the hip: can it be an alternative to conventional CT in the evaluation of osseous morphology?基于磁共振成像的髋关节合成计算机断层扫描:在评估骨形态方面它能否替代传统计算机断层扫描?
Eur Radiol. 2022 May;32(5):3112-3120. doi: 10.1007/s00330-021-08442-3. Epub 2022 Jan 23.
3
MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT.
基于 MRI 的腰椎 CT 合成:与 CT 相比,用于手术规划的几何测量。
Eur J Radiol. 2021 Nov;144:109999. doi: 10.1016/j.ejrad.2021.109999. Epub 2021 Oct 13.