论文标题
从动态数据中提取，可视化和学习：手术视频中的灌注以进行组织表征
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization
论文作者
论文摘要
可以通过荧光成像进行术中组织的术中评估，该荧光成像涉及全身剂量，并随后使用近红外摄像头对感兴趣的组织区域进行检查。这通常涉及在手术前甚至几天内给予吲哚羟氨酸绿色（ICG），以及在预测的稳态信噪状态的时间内术中可视化。在这里，我们描述了我们从信号处理和手术实践的角度捕获和利用ICG管理后几分钟内包含的信息的努力。我们证明了一种表征癌性与良性直肠病变的方法，如今正在通过多中心临床期研究进行进一步的发展和验证。
Intraoperative assessment of tissue can be guided through fluorescence imaging which involves systemic dosing with a fluorophore and subsequent examination of the tissue region of interest with a near-infrared camera. This typically involves administering indocyanine green (ICG) hours or even days before surgery and intraoperative visualization at the time predicted for steady-state signal-to-background status. Here, we describe our efforts to capture and utilize the information contained in the first few minutes after ICG administration from the perspective of both signal processing and surgical practice. We prove a method for characterization of cancerous versus benign rectal lesions now undergoing further development and validation via multicenter clinical phase studies.
