3 documents found, page 1 of 1
Non-invasive myocardial performance mapping using 3D echocardiographic stress-s...
Pedrosa, João; Duchenne, Jürgen; Queirós, Sandro Filipe Monteiro; Degtiarova, Ganna; Gheysens, Olivier; Claus, Piet; Voigt, Jens-Uwe; D'hooge, JanRegional contribution to left ventricular (LV) ejection is of much clinical importance but its assessment is notably challenging. While deformation imaging is often used, this does not take into account loading conditions. Recently, a method for intraventricular pressure estimation was proposed, thus allowing for loading conditions to be taken into account in a non-invasive way. In this work, a method for 3D au...
Multi-centre validation of an automatic algorithm for fast 4D myocardial segmen...
Queiros, Sandro; Barbosa, Daniel; Engvall, Jan; Ebbers, Tino; Nagel, Eike; Sarvari, Sebastian I.; Claus, Piet; Fonseca, Jaime C.; Vilaça, João L.Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficienc...
Real-time 3D interactive segmentation of echocardiographic data through user-ba...
Barbosa, Daniel; Heyde, Brecht; Cikes, Maja; Dietenbeck, Thomas; Claus, Piet; Friboulet, Denis; Bernard, Olivier; D'hooge, JanImage segmentation is an ubiquitous task in medical image analysis, which is required to estimate morphological or functional properties of given anatomical targets. While automatic processing is highly desirable, image segmentation remains to date a supervised process in daily clinical practice. Indeed, challenging data often requires user interaction to capture the required level of anatomical detail. To opti...