Self-supervised neural network for Patlak-based parametric imaging in dynamic [

• Tác giả: Wenjian Gu, Yanxiao Li, Weiping Liu, Ze Liu, Gongning Luo, Kuanquan Wang, Yihan Wang, Tianyi Xu, Yun Zhou, Zhanshi Zhu
• Ngôn ngữ: eng
• Thông tin xuất bản: Germany : European journal of nuclear medicine and molecular imaging , 2025
• Bộ sưu tập: NCBI
• ID: 188571

Tóm tắt

PURPOSE: The objective of this study is to generate reliable K METHODS: We proposed a self-supervised neural network algorithm with Patlak graphical analysis (SN-Patlak) to generate K RESULTS: The K CONCLUSIONS: The SN-Patlak parametric imaging algorithm is robust and reliable for quantification of 10-min dynamic [