Lymph Node Detection Using Robot Assisted Electrical Impedance Scanning and an Artificial Neural Network

Alex Tinggaard Årsvold, Andreas Sørensen Zeltner, Zhuoqi Cheng*, Kim Lindberg Schwaner, Pernille Tine Jensen, Thiusius Rajeeth Savarimuthu

*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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Abstract

Lymphadenectomy is frequently performed as a surgical treatment for cancer. Lymph nodes grow inside fat and have similar color as fat, making them difficult to detect. In Robotic Assisted Minimally Invasive Surgery (RAMIS), it can be even more challenging due to the lack of haptic feedback. This study proposes a novel method to measure the electrical property of a target tissue site and determine whether a lymph node is present underneath through an Artificial Neural Network classifier. The proposed system and method are built, analyzed, and evaluated based on simulation and ex vivo tissue phantom experiments. The experimental results show a very high accuracy (93.49 %) in detecting a lymph node that is embedded deep inside fat. Given the promising results and the portability of the proposed system, we believe it has great potential to improve the quality of related surgical procedures.
OriginalsprogEngelsk
Titel2021 International Symposium on Medical Robotics (ISMR)
Antal sider6
ForlagIEEE
Publikationsdatonov. 2021
ISBN (Elektronisk)978-1-6654-0622-2
DOI
StatusUdgivet - nov. 2021
Begivenhed2021 International Symposium on Medical Robotics (ISMR) - Georgia Tech, Atlanta, USA
Varighed: 17. nov. 202119. nov. 2021
http://www.ismr.gatech.edu/

Konference

Konference2021 International Symposium on Medical Robotics (ISMR)
LokationGeorgia Tech
Land/OmrådeUSA
ByAtlanta
Periode17/11/202119/11/2021
Internetadresse

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