A review of image processing leading to artificial intelligence methods to detect instruments in ultrasound guided minimally invasive surgical procedures

Alwin Kumar Rathinam, Yunli Lee, David Ngo Chek Ling, Rajesh Singh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

Ultrasound is a medical diagnostic imaging modality with the ability to visualize the underlying tissues and organs in the body in realtime. A handheld probe with piezo electric crystals radiates a beam of ultrasonic sound waves in a thin plane, acoustic microphones detect the bounced sound wave and images of the underlying tissue structures are depicted on screen. The realtime advantage has led to ultrasound's alternative use as a guidance for medical treatments such as minimally invasive procedures. Minimally Invasive Surgical procedures require skillful interpretation of the ultrasound image to distinguish the location of the instrument, it's motion and maneuver it via different tissue regions to reach a specified target. A software solution which outlines the location of the instrument would greatly assist medical doctors. This review presents the problem statement and various methods utilized to detect instruments. The methods using pure image processing algorithms are presented with various ranges of success. Recently, the use of Artificial Intelligence (AI) methods have been explored and these show improved detection. Such applications of AI in medicine could result in a strong impact and should be advocated further. The challenge of clear identification of instruments continues to persists in order to develop a system which can provide medical doctors real-time and highly accurate ultrasound guided minimally invasive instrument detection.

Original languageEnglish
Title of host publicationIEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017
Place of PublicationPiscataway, NJ, United States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3074-3079
Number of pages6
ISBN (Electronic)9781538608135
DOIs
Publication statusPublished - 20 Jun 2018
EventIEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017 - Chennai, India
Duration: 21 Sept 201722 Sept 2017
https://ieeexplore.ieee.org/xpl/conhome/8385064/proceeding
https://www.aconf.org/conf_108644.2017_IEEE_International_Conference_on_Power,_Control,_Signals_and_Instrumentation_Engineering_.html

Conference

ConferenceIEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017
Abbreviated titleICPCSI 2017
Country/TerritoryIndia
CityChennai
Period21/09/1722/09/17
Internet address

Keywords

  • component
  • review
  • surgical instrument detection
  • ultrasound

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