Deep learning-based deformable image registration with bilateral pyramid to align pre-operative and follow-up magnetic resonance imaging (MRI) scans.

Zhang, Jingjing; Xie, Xin; Cheng, Xuebin; Li, Teng; Zhong, Jinqin; Hu, Xiaokun; Sun, Lu; Yan, Hui

Zhang, Jingjing; Xie, Xin; Cheng, Xuebin; Li, Teng; Zhong, Jinqin; Hu, Xiaokun; Sun, Lu; Yan, Hui.

Affiliation

Zhang J; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China.
Xie X; Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Cheng X; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China.
Li T; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China.
Zhong J; School of Internet, Anhui University, Hefei, China.
Hu X; Interventional Medicine Center, Affiliated Hospital of Qingdao University, Qingdao, China.
Sun L; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yan H; Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Quant Imaging Med Surg ; 14(7): 4779-4791, 2024 Jul 01.

Article in En | MEDLINE | ID: mdl-39022247

Key words

Bilateral pyramid; brain tumor; deformable registration; non-corresponding regions

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Quant Imaging Med Surg Year: 2024 Document type: Article Affiliation country: China Country of publication: China

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