title: Development of a real-time lumbar ultrasound image processing system for epidural needle entry site localization.
abstract: A fully-automatic ultrasound image processing system that can determine the needle entry site for epidural anesthesia (EA) in real time is presented in this paper. Neither the knowledge of anesthetists nor additional hardware is required to operate the system, which firstly directs the anesthetists to reach the desired insertion region in the longitudinal view, i.e., lumbar level L3-L4, and then locates the ideal puncture site by instructing the anesthetists to rotate and slightly adjust the position of ultrasound probe. In order to implement these functions, modules including image processing, panorama stitching, feature extraction/selection, template matching and support vector machine (SVM) classification are incorporated in this system. Additionally, a user-friendly graphical user interface (GUI), which displays the processing results and guides anesthetists intuitively, is further designed to conceal the intricacy of algorithms. Feasibility and effectiveness of the proposed system has been evaluated through a set of realtime tests on 53 volunteers from a local hospital.
authors.lastname: Yusong Leng
authors.lastname: Shuang Yu
authors.lastname: Kok Kiong Tan
authors.forename: Philip
authors.initials: P
authors.lastname: Tildsley
authors.forename: Alex Tiong Heng
authors.initials: AT
authors.lastname: Sia
authors.lastname: Ban Leong Sng
mesh_terms: D000328:Adult; D000465:Algorithms; D000767:Anesthesia, Epidural / Q000379:methods*; D003199:Computer Systems; D004824:Epidural Space; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008161:Lumbosacral Region; D008297:Male; D008875:Middle Aged; D009339:Needles; D060388:Support Vector Machine; D014463:Ultrasonography; D055815:Young Adult