A prototype biosensor‐integrated image‐guided surgery system

Abstract

We discuss the implementation of the integrated system, its accuracy and improvements to the system that will enhance its usefulness and further the field of sensor-based computer-assisted surgery.

Human performance in the task of port placement for biosensor use

“…For example, Raman spectroscopic probes are biosensors capable of distinguishing cancerous tissue from surrounding healthy tissue (1)(2)(3)(4). This type of technology would allow surgeons to better decide which tissue to remove during a resection procedure (5)(6)(7).…”

Optimized port placement for in vivo biosensors

“…For example, biosensors based on Raman spectroscopy (a light-based sensing technique) have been shown to be effective at identifying various forms of cancer (7)(8)(9)(10). Combining the stability and positioning abilities of medical robots with the detection capabilities of biosensors would allow surgeons to more accurately pinpoint and treat diseases (11)(12)(13).…”

Differentiation of femur bone from surrounding soft tissue using laser-induced breakdown spectroscopy as a feedback system for smart laserosteotomy

“…Such feedback mechanisms can rely on photoacoustic, spectroscopic or OCT-based measurements [16][17][18][19][20][21]. Hereby, the potential spectroscopic methods include diffuse reflectance, laser-induced breakdown, Raman, and fluorescence spectroscopy [22][23][24][25][26]. Among them, laser-induced breakdown spectroscopy (LIBS), as a powerful analytical technique, seems to be most promising to us since it enables using the same laser as during the cutting process.…”