Computational modeling is used increasingly in academic research, but also slowly getting traction in clinical applications. Electrocardiographic imaging is a model-based imaging modality that can give patient-specific insights in arrhythmia substrate. We will discuss the ECGI methodology and some applications in clinical settings, ranging from arrhythmia substrate study to arrhythmia risk prediction and therapy guidance.

Placing the left ventricular (LV) lead in a coronary vein at a site of delayed electrical activation remote from scar is desired for optimal cardiac resynchronization therapy (CRT). Assessing epicardial electrical activation and coronary venous (CV) anatomy non-invasively may enable pre procedural anticipation on patient specific electrical and anatomical characteristics. We developed and implemented a non-invasive ECGI CT CMR roadmap for LV lead placement in CRT. This roadmap is reliable and comprises electrical, anatomical and structural information, allowing one to define an optimal LV lead position pre procedurally, personalizing therapy and potentially improving outcome.

With ultra-high field magnetic resonance imaging (MRI), the human brain can be non-invasively explored at an unprecedented spatial resolution. In this talk several applications of ultra-high field MRI in the field of neuroscience will be shown. Challenges and opportunities for both anatomical and functional measurements will be discussed.

Traditional lipidomics analysis using liver homogenates or plasma dilutes and averages lipid concentrations, and does not provide spatial information about lipid distribution. Mass spectrometry imaging (MSI) combined with principal component – linear discriminant analysis linking lipid and protein pathways represents a novel tool enabling detailed, spatially resolved, comprehensive studies of the heterogeneity of nonalcoholic fatty liver disease. Furthermore, the complementarity of MSI and histology has been recognized; ergo MSI is commonly referenced to histological images of the same/consecutive tissue section. Integration of the two imaging modalities can be used to enhance the spatial resolution of the MSI beyond its experimental limits, consequently broadening the clinical research possibilities. Here, we present Patch based super resolution applied to Mass Spectrometry Imaging.