Editorial: Quantitative neuroradiology methods

Front Radiol. 2024 Feb 12:4:1366704. doi: 10.3389/fradi.2024.1366704. eCollection 2024.

Mojtaba Barzegar^{1

2

3}, Mark Schweitzer⁴, Tiffany Y So⁵, Yongsheng Chen⁶, Şükrü Mehmet Ertürk⁷

¹ Radiation-Oncology Department, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation (HMC), Doha, Qatar.
² Society for Brain Mapping and Therapeutics, Los Angeles, CA, United States.
³ Intelligent Quantitative Bio-Medical Imaging (IQBMI), Tehran, Iran.
⁴ Office of the Vice President for Health Affairs Office of the Vice President, Wayne State University, Detroit, MI, United States.
⁵ Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
⁶ Department of Neurology, Wayne State University School of Medicine, Detroit, MI, United States.
⁷ Department of Radiology, Faculty of Medicine, İstanbul University, Istanbul, Turkiye.

No abstract available

Keywords: BCVI-blunt cerebrovascular injury; CNN—convolutional neural network; DKI-diffusion kurtosis imaging; ethics—clinical; motion artefact.

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