Academic Journal
Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model
العنوان: | Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model |
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المؤلفون: | Xiao, H, Han, X, Zhi, S, Wong, YL, Liu, C, Li, W, Liu, W, Wang, W, Zhang, Y, Wu, H, Lee, HFV, Cheung, LYA, Chang, HC, Liao, YP, Deng, J, Li, T, Cai, J |
المساهمون: | Department of Health Technology and Informatics |
بيانات النشر: | Elsevier Ireland Ltd. |
سنة النشر: | 2024 |
المجموعة: | Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR) |
مصطلحات موضوعية: | 4D-MRI, Deep learning, Deformable image registration, Motion management, Real-time |
الوصف: | 202407 bcch ; RGC ; Published ; 12 months ; Green (AAM) |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 0167-8140 1879-0887 |
Relation: | http://hdl.handle.net/10397/107660; 189; 2-s2.0-85174695686; 109948; a2930b; 48793 |
DOI: | 10.1016/j.radonc.2023.109948 |
الاتاحة: | http://hdl.handle.net/10397/107660 https://doi.org/10.1016/j.radonc.2023.109948 |
رقم الانضمام: | edsbas.7B400FE9 |
قاعدة البيانات: | BASE |
تدمد: | 01678140 18790887 |
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DOI: | 10.1016/j.radonc.2023.109948 |