Automated Detection of Heterogeneity in Medical Tactile Images

Solodova R.; Staroverov V.; Galatenko Vladimir; Galatenko A.; Solodov E.; Antonov A.; Budanov V.; Sokolov M.; Sadovnichy V.

doi:10.3233/978-1-61499-625-5-383

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Automated Detection of Heterogeneity in Medical Tactile Images

P. 383–389.

Solodova R., Staroverov V., Galatenko Vladimir, Galatenko A., Solodov E., Antonov A., Budanov V., Sokolov M., Sadovnichy V.

Artificial tactile sensing is a capability important for many applications and, in particular, for endoscopic surgery. A recently developed Medical Tactile Endosurgical Complex (MTEC) that is a certified and commercially available product is an efficient tool that provides such a capability. Currently the analysis of intraoperative tactile images that are registered and visualized by MTEC is performed manually by a surgeon. We show that heterogeneity detection - a key constituent of intraoperative tactile images analysis - can be efficiently automated. Such automation essentially reduces the requirement of attention retaining during the MTEC-based palpation.

Keywords: Artificial tactile sensing Medical Tactile Endosurgical Complex tactile image analysis heterogeneity detection Искусственное осязание Медицинский тактильный эндохирургический комплекс Анализ тактильных образов Обнаружение неоднородностей

In book

Studies in Health Technology and Informatics

Vol. 220: Medicine Meets Virtual Reality 22. , Netherlands: IOS Press, 2016.

О методах обработки и автоматизированного анализа инструментальных тактильных образов

Александров Д. Е., Galatenko A. V., Galatenko V. V. et al., ООО «Макс Пресс», 2018.

The monograph is devoted to applications of Medical Tactile Endosurgical Complex (MTEC). MTEC was developed by specialists of Lomonosov Moscow State University and is manufactured by SPA «Splav»; it is intended for modern minimally invasive surgical interventions. The monograph is primarily focused on mathematical approaches to the analysis of instrumental tactile images, especially automated heterogeneity ...

Added: April 28, 2020

A Greedy Clustering Algorithm Based on Interval Pattern Concepts and the Problem of Optimal Box Positioning

Nersisyan S., Pankratieva V., Staroverov V. et al., Journal of Applied Mathematics 2017 Vol. 2017 P. 1–9

We consider a clustering approach based on interval pattern concepts. Exact algorithms developed within the framework of this approach are unable to produce a solution for high-dimensional data in a reasonable time, so we propose a fast greedy algorithm which solves the problem in geometrical reformulation and shows a good rate of convergence and adequate ...

Added: April 28, 2020

Pattern recognition in low-resolution instrumental tactile imaging

Nersisyan S., Rakhmatulin Y., International Journal of Circuits, Systems and Signal Processing 2017 Vol. 11 P. 306–313

Background. Tactile perception is an essential source of information. However instrumental registration and automated analysis of tactile data is still at an initial point of the development. Recently a Medical Tactile Endosurgical Complex (MTEC) has been introduced into clinical practice as a universal instrument for intrasurgical registration of tactile images. Images registered by MTEC have ...

Added: April 28, 2020

Gradient estimation for hexagonal grids and its application to classification of instrumentally registered tactile images

Nersisyan S., Staroverov V., WSEAS Transactions on Applied and Theoretical Mechanics 2018 Vol. 13 P. 123–129

Introduction. The majority of known finite difference schemes are designed for rectangular grids as rectangular grids are natural for many applications. However, these schemes are inapplicable to the analysis of images registered by Medical Tactile Endosurgical Complex (MTEC) — a novel device for intraoperative examination of tactile properties of tissues, as sensors of MTEC are ...

Added: April 28, 2020

Identification of Contact Angle and Heterogenity Detection in Tactile Images

Alexandrov D., Nersisyan S., International Journal of Biology and Biomedical Engineering 2018 Vol. 12 P. 186–191

Introduction. Automated analysis of tactile images registered by specialized medical tools is a novel domain, which results promptly find their applications in clinical practice. Medical Tactile Endosurgical Complex (MTEC) is currently the only commercially available device for intraoperative instrumental mechanoreceptoric palpation. One of the main challenges related to processing data generated by MTEC is heterogeneity ...

Added: April 28, 2020

Tactile diagnostics in robotic surgery

Sokolov M., Solodova R., V. Galatenko et al., European Journal of Surgical Oncology 2016 Vol. 42 No. 9 P. S73–S73

Background: Robotic surgery undergoes its wide acceptance achieved due to minimizing trauma to patients. However, currently robotic surgery lacks a tactile feedback, and it is an essential limiting factor for its further expansion. The problem can be solved by utilization of Medical Tactile Endosurgical complex (MTEC). This complex measures and displays tactile properties of tissues ...

Added: September 24, 2016