Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization

被引:0
|
作者
Epperlein, Jonathan P. [1 ]
Hardy, Niall P. [2 ]
Mac Aonghusa, Pol [1 ]
Cahill, Ronan A. [2 ]
机构
[1] IBM Res Europe, Dublin, Ireland
[2] Univ Coll Dublin, UCD Ctr Precis Surg, Sch Med, Dublin, Ireland
关键词
fluorescence-guided surgery; ICG; perfusion; machine learning; anastomosis; endoscopic video; SURGERY;
D O I
10.1109/ICDH55609.2022.00009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:7 / 12
页数:6
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