title: Schemes for the identification of tissue types and boundaries at the tool point for surgical needles.
abstract: Precise control of automated invasive surgical tools requires real-time identification of tissue types and their deformation. At the focus of this paper is the epidural puncture, for which it is shown that the tissue type and deformation can respectively be determined from laser-based spectroscopy and the change in force required to push the needle through the various tissues. Studies have shown that physiological variations from one patient to another are too great to allow absolute values to be reliably used to indicate the position of the needle tip. However, the pattern of force variation during penetration is shown to be similar between specimens. Interpretation of this information in conjunction with spectroscopic techniques can be used to discriminate between tissues and tissue structure at the needle tip. This paper describes results from an investigation on automatic techniques for interpreting the type and deformation of tissues under tool action.
authors.affiliation: Department of Mechanical Engineering, University of Bristol, UK.
authors.forename: P N
authors.initials: PN
authors.lastname: Brett
authors.forename: A J
authors.initials: AJ
authors.lastname: Harrison
authors.forename: T A
authors.initials: TA
authors.lastname: Thomas
mesh_terms: D000273:Adipose Tissue / Q000502:physiology; D000465:Algorithms; D000703:Analog-Digital Conversion; D000767:Anesthesia, Epidural / Q000295:instrumentation*; D005246:Feedback; D006801:Humans; D007268:Injections, Epidural / Q000295:instrumentation; D007834:Lasers; D017843:Ligamentum Flavum / Q000502:physiology; D017846:Longitudinal Ligaments / Q000502:physiology; D009339:Needles; D011312:Pressure; D015203:Reproducibility of Results; D012371:Robotics; D012815:Signal Processing, Computer-Assisted; D012879:Skin Physiological Phenomena; D013059:Spectrum Analysis, Raman; D013314:Stress, Mechanical; D013499:Surface Properties