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

Illanes A, Boese A, Maldonado I, Pashazadeh A, Schaufler A, Navab N, Friebe M (2018)

Publication Type: Journal article

Publication year: 2018

Journal

Scientific Reports Nature Publishing Group: Open Access Journals - Option B

Book Volume: 8

Article Number: 12070

Journal Issue: 1

DOI: 10.1038/s41598-018-30641-0

Abstract

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.

Involved external institutions

Otto-von-Guericke-Universität Magdeburg DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Illanes, A., Boese, A., Maldonado, I., Pashazadeh, A., Schaufler, A., Navab, N., & Friebe, M. (2018). Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-30641-0

MLA:

Illanes, Alfredo, et al. "Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing." Scientific Reports 8.1 (2018).

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