Self-Driving Ultrasound for Multiparametric Cardiac Tissue Characterization

Cardiac ablation (CA) is increasingly used to treat both atrial fibrillation, a cardiac dysfunction associated with increased risk of stroke and heart failure that affects 5.5% of the population over 55 in the Netherlands, and ventricular tachycardia, a cardiac dysfunction that may lead to life threatening ventricular fibrillation and where ICD (implanted cardioverter defibrillator) therapy is not adequate. CA relies on the formation of lesions by ablation, using an intra-cardiac catheter. Long term success of CA is relatively low and the procedure carries serious risks. We propose a novel self-driving multi-parametric ultrasound imaging approach, which is adaptively optimized for accurate monitoring of tissue structure and lesion formation, leading to effective and safe CA procedures.

  • Projectnummer / Project number: 17144
  • Deelnemende kennisinstellingen / Participating institutes: Technische Universiteit Eindhoven
  • Projectleider / Project leader: Dr. M. Mischi - Technische Universiteit Eindhoven - Signaal Bewerking Systemen Groep - Faculteit Elektrotechniek
  • Type project / Type project: Lopend
  • Startdatum / Start date: 15-01-2019
  • Programma / Programme: High Tech Systemen & Materialen (HTSM)
  • Vakgebied / Discipline: Technische wetenschappen, Levenswetenschappen


Mw. dr. W. (Wieke) Haakma (Programmamedewerker) Mw. dr. W. (Wieke) Haakma (Programmamedewerker) 030-6001296