Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing

We propose a new and complementary approach to image guidance for monitoring medical interventional devices (MID) with human tissue interaction and surgery augmentation by acquiring acoustic emission data from the proximal end of the MID outside the patient to extract dynamical characteristics of th...

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Bibliographic Details
Published in:Scientific reports 2018-08, Vol.8 (1), p.12070-11, Article 12070
Main Authors: Illanes, Alfredo, Boese, Axel, Maldonado, Iván, Pashazadeh, Ali, Schaufler, Anna, Navab, Nassir, Friebe, Michael
Format: Article
Language:English
Subjects:
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Acoustic emission
Artefacts
Biopsy
Catheters
Fault diagnosis
Flow velocity
Humanities and Social Sciences
Information processing
Medical research
multidisciplinary
Quantitative analysis
Radiation therapy
Science
Science (multidisciplinary)
Sensors
Signal processing
Surgeons
Surgery
Tissues
Wire
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Summary:We propose a new and complementary approach to image guidance for monitoring medical interventional devices (MID) with human tissue interaction and surgery augmentation by acquiring acoustic emission data from the proximal end of the MID outside the patient to extract dynamical characteristics of the interaction between the distal tip and the tissue touched or penetrated by the MID. We conducted phantom based experiments ( n  = 955) to show dynamic tool/tissue interaction during tissue needle passage (a) and vessel perforation caused by guide wire artery perforation (b). We use time-varying auto-regressive (TV-AR) modelling to characterize the dynamic changes and time-varying maximal energy pole (TV-MEP) to compute subsequent analysis of MID/tissue interaction characterization patterns. Qualitative and quantitative analysis showed that the TV-AR spectrum and the TV-MEP indicated the time instants of the needle path through different phantom objects (a) and clearly showed a perforation versus other generated artefacts (b). We demonstrated that audio signals acquired from the proximal part of an MID could provide valuable additional information to surgeons during minimally invasive procedures.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-018-30641-0