Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA.
Int J Med Robot. 2010 Jun;6(2):150-9. doi: 10.1002/rcs.300.
We conducted a study of participants' abilities to place a laparoscopic port for in vivo biosensor use. Biosensors have physical limitations that make port placement crucial to proper data collection. A new port placement algorithm enabled evaluation of port locations, using segmented patient data in a virtual environment.
Port placement scoring algorithms were integrated into an image-guided surgery system. Virtual test scenes were created to evaluate various scenarios encountered during biosensor use. Participants were scored based on their ability to choose a port location from which points of interest could be scanned with a biosensor. Participants' scores were also compared to those of a port placement algorithm.
The port placement algorithm consistently outscored participants by 10-25%. Participants were inconsistent from trial to trial and from participant to participant.
Port placement for biosensor procedures could be improved through training or augmentation.
我们研究了参与者为活体生物传感器使用放置腹腔镜端口的能力。生物传感器具有物理限制，因此端口的放置对于正确的数据收集至关重要。一种新的端口放置算法可以使用虚拟环境中的分段患者数据来评估端口位置。
将端口放置评分算法集成到图像引导手术系统中。创建了虚拟测试场景，以评估在使用生物传感器时遇到的各种情况。参与者根据其使用生物传感器扫描感兴趣点的能力从选择端口位置的能力进行评分。还将参与者的分数与端口放置算法的分数进行了比较。
端口放置算法始终比参与者高出 10-25%。参与者在每次试验和参与者之间的表现不一致。
可以通过培训或增强来改善生物传感器手术的端口放置。
