Projects of Department of Imaging Methods

Project selection:

International projects

SP4LIFE – Smart Patch for Life Support Systems
Inteligentná náplasť pre systémy na udržanie života
Program: NATO
Duration: 10.3.2021 – 10.3.2024
Project leader: Doc. Ing. Tyšler Milan, CSc.
Annotation: Wearable real-time systems collecting and smartly analysing information on respiration, heartbeat, SpO2, blood pressure and body temperature could help medical personnel adopting most suitable countermeasure in case of highly stressful situations in military and civil scenarios as a result of terrorist attacks, IEDs’ or rescue operations. The system gives an alert if the health status of a person is changed to prevent overlook of critical health changes. We propose design and development of a patch-like device prototypes and methodology enabling continuous evaluation of personnel or victims’ vital parameters, using Artificial Intelligence to create software capable of real-time diagnostics and rapid countermeasures’ selection.
Project website:

National projects

ETMP – Development and realisation of the standard of the static magnetic field based on a magnetic resonance
Vývoj a realizácia etalónu statického magnetického poľa na báze magnetickej rezonancie
Program: APVV
Duration: 1.7.2020 – 30.6.2023
Project leader: Ing. Andris Peter, PhD.
Annotation: The main aim of the present project is the design of advanced NMR measurement methods using the most advanced range of systems (with a low magnetic field 0.05, 0.2, Tesla) for the development and implementation of standard static magnetic field on a magnetic resonance. This standard would be the basic calibration device fortesting and calibration of the equipments that measure or generate magnetic field.The use of it would be in the Slovak Republic.Orientation research on:- theoretical and experimental research methods for the measurement and mapping of static magnetic fields,- standardizing the measurement metrology protocols,- mapping the intensity of the vibrations generated by the measuring system and modeling of their layouts fordifferent measuring MRI sequences,- spectral analysis of disturbing signals, identification of dominant frequencies and evaluation of their effects on the accuracy and stability of the magnetic standard.
Project website:
MRCartilage – Automatic data evaluation tool from the longitudinal quantitative MRI studies of articular cartilage
Automatický softvérový nástroj na výhodnocovanie kvantitatívnych MRI štúdií artikulárných chrupaviek v čase
Program: APVV
Duration: 1.7.2022 – 30.6.2026
Project leader: Ing. Dr. Szomolányi Pavol, (PhD.)
Annotation: The aim of the project is to design a comprehensive tool for automatic evaluation of human articular cartilage data from quantitative MRI. Data obtained from the Osteoarthritis Initiative database, and measured at Institute of Measurement Science and Medical University of Vienna will be segmented using an automated segmentation tool based on convolutional neural networks. The annotated data will then be registered on quantitative MRI data that will be available from the database (T2 and T1rho mapping, gagCEST, sodium MR) using automated or semiautomated tools developed within this project. The data obtained will be evaluated at multiple time points according to MR measurements that will be available. In addition to quantitative MR data, this will include volumetric data, cartilage thickness, and texture analysis of quantitative maps. Patient evaluation will be based on risk factor groups (transverse ligament rupture, meniscus rupture and menisectomy). The expected number of patients is approximately 4000 divided into individual groups in the ratio 40/30/30. The output of the project will be a compiled version of an automatic cartilage evaluation tool that will be available in a public source (such as website of Institute of Measurement).
ReSynCard – Personalized Optimisation of Cardiac Resynchronization Therapy in Heart Failure Based on Multiple Lead ECG Measurement
Personalizovaná optimalizácia resynchronizačnej liečby srdcového zlyhávania na základe mnohozvodového merania EKG
Program: APVV
Duration: 1.7.2020 – 30.6.2023
Project leader: Doc. Ing. Tyšler Milan, CSc.
Annotation: Cardiac resynchronization therapy (CRT) is currently the most advanced therapeutic method for treatment of patients with failing heart. The essential criteria for patient indication for CRT are based on standard 12-lead ECG and echocardiographic measurements and include ECG pattern of left bundle branch block, prolongation of the QRS time interval, and left ventricular ejection fraction less than 35%. Despite most patients have a great benefit from the CRT, still 20-40% of patients do not profit from the therapy. On the other side, there is a considerable number of positive responders among patients not fulfilling the criteria. Therefore, there is a great effort to increase the success rate of the intervention and to find better criteria for its application. Current research shows that surface ECG maps recorded by a large number of electrodes, ECG imaging solving the inverse problem of electrocardiology and reconstructing the electrical activity of the heart, or combination of ECG imaging with computed tomography to identify structural damage of the myocardium have potential for more reliable detection of the electrical dyssynchrony and for suggesting optimal electrode placement and their timing. The main objective of the project is the research of methods for personalized optimization of the CRT therapy based on multi-lead surface ECG measurement and their verification on simulated data and data from real patients. The partial aims include: • finding such body surface potential maps parameters that could serve as suitable indicators of the electrical dyssynchrony of ventricles, • design of an inverse method for noninvasive localization of the latest activated areas in the ventricles and their use for placing the electrode in the left ventricle, • simulation of failing heart activation to understand the undergoing processes and their reflection in surface ECG signals, • development of a dedicated multi-lead ECG measuring system for personalized CRT optimization.