Study on deep learning reconstruction technology in improving image quality of pituitary neuroendocrine tumors in coronal T1WI magnetic resonance image

Study on deep learning reconstruction technology in improving image quality of pituitary neuroendocrine tumors in coronal T1WI magnetic resonance image

Objective To investigate the role of thin-layer pituitary T1WI fat suppression (FS) coronal enhanced sequences based on deep learning (DL) reconstruction technology in improving image quality for pituitary neuroendocrine tumors. Methods From June 2023 to June 2024, 46 patients diagnosed or suspected...

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Bibliographic Details
Main Author: ZHANG Huihui, FANG Shu, WU Mengxiong, LIU Fangtao, HE Naying, DONG Haipeng, YAN Fuhua
Format: Article
Language:zho
Published: Editorial Office of Journal of Diagnostics Concepts & Practice 2024-12-01
Series:Zhenduanxue lilun yu shijian
Subjects:
|pituitary|neuroendocrine tumor|deep learning|image reconstruction|magnetic resonance imaging
Online Access:https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1740725482318-664275458.pdf
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https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1740725482318-664275458.pdf

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