Prof. CAI Jing, Management Committee Member of the Research Institute for Smart Ageing (RISA), Head and Professor of Department of Health Technology and Informatics, has developed an AI-powered, contrast-free MRI imaging with his team, which offers a safer diagnostic alternative. Their innovation Multimodality-Guided Synergistic Neural Network (MMgSN-Net) can utilize information from T1- and T2-weighted to synthesis virtual contrast-enhanced images without using GBCAs. Building on this achievement, his team has introduced the Pixelwise Gradient Model with Generative Adversarial Network for Virtual Contrast Enhancement (PGMGVCE), which further improves image texture and details.
Prof. Cai’s innovation showcases the contribution of RISA members in improving cancer diagnosis and treatment planning. RISA will be dedicated to advance the healthcare field with our research and innovations.
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Online coverage:
Eurek Alert - https://polyu.me/45hPQ5R
Bioengineer - https://polyu.me/413mNAp
Technology Network - https://polyu.me/4mH2bWU
Mirage News - https://polyu.me/3UsjhvF
智齡研究院管理委員會成員、理大醫療科技及資訊學系系主任兼教授蔡璟教授領導的團隊成功研發出一種以人工智能驅動、無需顯影劑的MRI成像技術，為診斷提供更安全的選擇。他們的創新成果「多模態引導協同神經網絡」（MMgSN-Net）能利用T1及T2加權影像，生成合成虛擬對比增強圖像，過程無需使用GBCAs。團隊基於此項成果，開發一種「用於虛擬對比增強技術的基於生成對抗網絡像素級梯度模型」（PGMGVCE），進一步提升影像紋理與細節。
蔡教授的前沿研究展示智齡研究院成員在改善癌症診斷及治療規劃的貢獻。智齡研究院將繼續致力透過研究及創新，推動醫療保健領域的發展。
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網上報導：
優睿科 - https://polyu.me/45hPQ5R
Bioengineer - https://polyu.me/413mNAp
Technology Network - https://polyu.me/4mH2bWU
Mirage News - https://polyu.me/3UsjhvF
| Research Units | Research Institute for Smart Ageing |
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Press Contacts
Annarie Ng
RISA
- 2766 7665
- info.risa@polyu.edu.hk
