Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model-Reference-Cited by-同舟云学术

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Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model

Published:2023-12 Issue: Volume:189 Page:109948
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Xiao Haonan,Han Xinyang,Zhi Shaohua,Wong Yat-Lam,Liu Chenyang,Li Wen,Liu Weiwei,Wang Weihu,Zhang Yibao,Wu Hao,Lee Ho-Fun Victor,Cheung Lai-Yin Andy,Chang Hing-Chiu,Liao Yen-Peng,Deng Jie,Li Tian,Cai Jing

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference39 articles.

1. First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment;Raaymakers;Phys Med Biol,2017

2. Validation of a 4D-MRI guided liver stereotactic body radiation therapy strategy for implementation on the MR-linac;van de Lindt;Phys Med Biol,2021

3. Stereotactic MRI-guided radiation therapy for localized prostate cancer (SMILE): a prospective, multicentric phase-II-trial;Ristau;Radiat Oncol,2022

4. Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignancy, and pancreatic cancer with 4D-MRI based online adaptation and real-time MRI monitoring using a 1.5 Tesla MR-Linac;Hal;PLoS One,2020

5. T2‐weighted four dimensional magnetic resonance imaging with result‐driven phase sorting;Liu;Med Phys,2015

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