Segmentation of brain MRI into white matter, gray matter, cerebrospinal fluid,skull, and other categories is an integral part of MRI analysis. To date, most widely used segmentation approaches require the use of population-based spatial segmentation priors, mostly to improve robustness to shading artifacts and noise. Prior generation requires a set of segmented volumes from a population similar to the one to be studied, and an alignment approach for aligning brains from multiple subjects. Aim: In this paper we present a method for generating segmentation priors that is insensitive to noise and field bias and does not require registration to a template space. Methods: Our approach relies on using signatures, a set of local descriptive statistics, computed over multiple spatial scales. In the training process, signatures of each tissue are clustered into representative sub-classes. Representative signatures are the median of signatures in each subclass. In a new dataset, voxel signatures are compared to the set of representative signatures and tissue classification priors are generated using Bayesć rule and total probability. Results: These signature-based probability maps can replace spatially-based population priors in segmentation. We also show that signature similarity can be used interactively to delineate brain lesions, such as tumours, thereby facilitating diagnostic procedures. Conclusions: Voxel signatures consisting of spatial texture information across multiple scales, can be used either as simple similarity measure to select tissue of the same type or to create tissue prior probability maps that can be used in brain segmentation and in other clinically relevant procedures.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 28577497An analytical method and the executable computer program was developed for the analysis of the QT interval in the standard 12 lead ECG recording. The program works in real-time together with the Cardiax system (IMED, Budapest) and communicates interactively via internet with the server program Cardiosoft (Houston, Tx, USA), and is implemented by Cardiosoft as a part of the software package. (filed U.S. patent Cardiosoft)..
F.09 Development of a new technological process or technology
COBISS.SI-ID: 28948953The quality of medical education depends on selection of best candidates for teachers at Medical Schools, appropriate conditions for their development, appropriate selection of medical students, and adequate financing. Invited speakers from EU, other European countries and from the USA presented their findings and discussions led to AMSE guideleines for medical education in Europe. The declaration is also adopted by WFME to disseminate guideklines worldwide, and to prepare tne minimal criteria for medical education in other countries.
B.01 Organiser of a scientific meeting