Renaldas Raišutis

Professor at KTU Faculty of Electrical and Electronics Engineering

Renaldas Raišutis is a Professor at KTU Faculty of Eletrical and Electronics Engineering. He is a Chief researcher at Prof. K. Baršauskas Ultrasound Research Institute and a Head of Laboratory of Numerical Simulations.

The scientist is the author and co-author of more than 100 different scientific publications and conference reports, co-author of 6 international patents (5 US patents and 1 EU), filed 7 international patent applications (5 US applications, 2 EU applications), co-author of 1 national patent and filed 2 national patent applications. R. Raišutis coordinates the international research infrastructure “Ultratest: Ultrasonic Non-Destructive Testing, Measurement and Diagnostic Centre”.

  • Ultrasonic non-destructive testing of mechanical structures used in the infrastructure, transport, aviation and energy sectors
  • Modern industrial ultrasonic monitoring of various mechanical equipment and quality control systems of production technological processes
  • Ultrasonic testing of new multilayer and composite materials
  • Ultrasound signal and diagnostic image processing in medicine

Assessment of the distributed and concentrated pipeline corrosion by means of ultrasonic testing and machine learning methods

Corrosion is one of the most common degradation mechanisms of metallic engineering infrastructure. The pipelines of petroleum, chemical and gas industries carry products that contain corrosive substances leading to progressive degrada????on of the equipment. To avoid severe environmental and economic consequences, the periodic inspecton of corrosion rates is a must to ensure long-term integrity of the assets.

In this project, the hybrid corrosion assessment technique is proposed that combines ultrasonic tomographic reconstruction and machine learning methods to reconstruct and characterize both distributed and localized corrosion at large sections of pipes with high accuracy. This will be achieved through development of sophisticated tomographic reconstruction techniques that will be able to identify the corrosive regions of the pipe, while the distribution, type of corrosion and wall thickness loss will be defined with machine learning models and cumulative distribution functions. Throughout the project the proposed technology will reach TRL level 6 and will be patented at Lithuanian patent office.

Guided Waves for Structural Health Monitoring (GW4SHM)

The overall aim of GW4SHM is to turn SHM from a lab-based technology into real-world applications. Structural health monitoring (SHM) is essential to guarantee the safe and reliable operation of technical appliances and will be a key enabler to exploit emerging technologies such as remaining useful lifetime prognosis, condition-based maintenance, and digital twins. Particularly, SHM using ultrasonic guided waves is a promising approach for monitoring chemical plants, pipelines, transport systems and aeronautical structures. The project will bring together partners from academia and industry and will train a new generation of researchers skilled in all aspects of SHM, enabling them to transform SHM research into practical applications.

Complex Analysis Method of Spectrophotometric and Ultrasound Data for the Automatic Differential Diagnosis of Early Stage Malignant Skin Tumours (SkinImageFusion)

Skin melanoma is the malignant tumour, whose prevalence is rising worldwide. Diagnostic accuracy of the melanoma achieved during visual observation is only about 60% and is related with the experience of the observer. Previous studies have shown that the analysis of the high-frequency ultrasound signals can provide the information about microstructure of the tumour. The aim of this project was to develop the complex analysis method of spectrophotometric and ultrasound data for the automatic differential diagnosis of early stage malignant skin tumours. The method for the automatic diagnosis of malignant skin tumours, based on complex analysis of spectrophotometric and ultrasound data have been developed.

No. Title Authors Year
1. A novel defect estimation approach in wind turbine blades based on phase velocity variation of ultrasonic guided waves Renaldas Raišutis, Kumar Anubhav Tiwari, Egidijus Žukauskas, Olgirdas Tumšys, Lina Draudvilienė 2021
2. Algorithm for automated foot detection in thermal and optical Images for temperature asymmetry analysis Jonas Guzaitis, Agnė Kadusauskienė, Renaldas Raišutis 2021
3. Optimization of microbubble side-scattering signal analysis for efficient cavitation dosimetry Martynas Maciulevičius, Kumar Anubhav Tiwari, Diana Navickaitė, Sonam Chopra, Saulius Šatkauskas, Renaldas Raišutis 2021
4. Evaluation of low-intensity pulsed ultrasound on doxorubicin delivery in 2D and 3D cancer cell cultures Miglė Paškevičiūtė, Indrė Januškevičienė, Kristina Sakalauskienė, Renaldas Raišutis, Vilma Petrikaitė 2020
5. Diagnostics of melanocytic skin tumours by a combination of ultrasonic, dermatoscopic and spectrophotometric image parameters Kumar Anubhav Tivari, Renaldas Raišutis, Jokūbas Liutkus, Skaidra Valiukevičienė 2020