Žiga Lesjak

University of Ljubljana · Faculty of Electrical Engineering

Multiple sclerosis (MS) is a disease characterized by demyelinating lesions in the brain and spinal cord. Quantification of the amount of change in MS lesions in magnetic resonance imaging (MRI) over time is important for evaluation of drug effectiveness in clinical trials. Manual analysis of such longitudinal datasets is time- and cost prohibitive...

Quantified volume and count of white-matter lesions based on magnetic resonance (MR) images are important biomarkers in several neurodegenerative diseases. For a routine extraction of these biomarkers an accurate and reliable automated lesion segmentation is required. To objectively and reliably determine a standard automated method, however, creat...

Multiple sclerosis (MS) is a neurological disease characterized by focal lesions and morphological changes in the brain captured on magnetic resonance (MR) images. However, extraction of the corresponding imaging markers requires accurate segmentation of normal-appearing brain structures (NABS) and the lesions in MR images. On MR images of healthy...

Machine learning algorithms can be used to determine the set of optimal features required for white matter lesion (WML) change detection. Identification of such features facilitates better understanding about which image information is the most important for the change detection. Using a random forest classifier, we evaluated and compared the impor...

Changes of white-matter lesions (WMLs) are good predictors of the progression of neurodegenerative diseases like multiple sclerosis (MS). Based on longitudinal magnetic resonance (MR) imaging the changes can be monitored, while the need for their accurate and reliable quantification led to the development of several automated MR image analysis meth...

Neuroimaging biomarkers are an important paraclinical tool used to characterize a number of neurological diseases, however, their extraction requires accurate and reliable segmentation of normal and pathological brain structures. For MR images of healthy brains the intensity models of normal-appearing brain tissue (NABT) in combination with Markov...

Detection of longitudinal changes in brain structures is a common clinical task when assessing the progress of cerebrovascular and neurodegenerative diseases, which manifest in appearing and disappearing white matter lesions (WMLs). Changes of WMLs are usually quanti ed by their manual outlines and compared across longi- tudinal, serial magnetic re...