A5060665861- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Fetal and Pediatric Neurological Disorders
- Peripheral Nerve Disorders
- Medical Image Segmentation Techniques
- Cell Image Analysis Techniques
- Glioma Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Atherosclerosis and Cardiovascular Diseases
- Topological and Geometric Data Analysis
- Angiogenesis and VEGF in Cancer
- Radiomics and Machine Learning in Medical Imaging
- Spinal Dysraphism and Malformations
- Coronary Interventions and Diagnostics
- Hepatocellular Carcinoma Treatment and Prognosis
- Retinal Imaging and Analysis
- Transcranial Magnetic Stimulation Studies
- Pancreatic and Hepatic Oncology Research
- Bone and Joint Diseases
The Netherlands Cancer Institute
2024
Eindhoven University of Technology
2019-2023
Belarusian State University
2017
Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or roads, is relevant to many fields research. For the topology their most important characteristic; particularly preserving connectedness: in case vascular networks, missing a connected vessel entirely alters blood-flow dynamics. We introduce novel similarity measure termed centerlineDice (short clDice), which calculated on inter-section masks and (morphological) skeleta. theoretically prove that clDice...
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the ability aggregate dMRI derived measures. Computational algorithms that harmonize minimize such critical reliably combine datasets acquired from different scanners and/or protocols, thus improving statistical power sensitivity studies. Different computational approaches have been proposed MRI or remove...
Brain atlases and templates are at the heart of neuroimaging analyses, for which they facilitate multimodal registration, enable group comparisons provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping between images perform poorly in presence structural pathology. Whilst several strategies exist to overcome this problem, their performance is often dependent type, size homogeneity any lesions present. We therefore propose a new solution, referred...
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While technical advances spearheaded Human Connectome Project (HCP) led to significant improvements dMRI data quality, it remains unclear how these should be analyzed maximize accuracy. Over a period two years, we engaged community IronTract Challenge, which aims answer this question leveraging unique dataset. Macaque brains that both tracer injections and ex...
While the diagnosis of high-grade glioma (HGG) is still associated with a considerably poor prognosis, neurosurgical tumor resection provides an opportunity for prolonged survival and improved quality life affected patients. However, successful dependent on proper surgical planning to avoid surgery-induced functional deficits whilst achieving maximum extent (EOR). With diffusion magnetic resonance imaging (MRI) providing insight into individual white matter neuroanatomy, challenge remains...
Diffusion-weighted MRI can assist preoperative planning by reconstructing the trajectory of eloquent fiber pathways, such as corticospinal tract (CST). However, accurate reconstruction full extent CST remains challenging with existing tractography methods. We suggest a novel algorithm exploiting unused orientations to produce more complete and reliable results.Our approach, referred multi-level (MLFT), reconstructs pathways progressively considering previously at multiple levels propagation....
Endothelial progenitor cells (EPC) are involved in neovascularization and endothelial integrity. They might be protective atherosclerosis. Optical coherence tomography (OCT) is a precise intracoronary imaging modality that allows assessment of subintimal plaque development. We evaluated the influence EPC on coronary burden stable disease implemented novel computational analysis algorithm using OCT. Forty-three patients (69.8% males, 69.6 ± 7.7 years) were investigated by OCT during...
<h3>BACKGROUND AND PURPOSE:</h3> Tractography of the corticospinal tract is paramount to presurgical planning and guidance intraoperative resection in patients with motor-eloquent gliomas. It well-known that DTI-based tractography as most frequently used technique has relevant shortcomings, particularly for resolving complex fiber architecture. The purpose this study was evaluate multilevel combined functional motor cortex mapping comparison conventional deterministic algorithms....
PurposeTraining and evaluation of the performance a supervised deep-learning model for segmentation hepatic tumors from intraoperative US (iUS) images, with purpose improving accuracy tumor margin assessment during liver surgeries detection lesions colorectal surgeries.ApproachIn this retrospective study, U-Net network was trained nnU-Net framework in different configurations CRLM iUS. The on B-mode hand-labeled by an expert clinician. tested independent set similar images. average age study...
Abstract Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While technical advances spearheaded Human Connectome Project (HCP) led to significant improvements dMRI data quality, it remains unclear how these should be analyzed maximize accuracy. Over a period two years, we engaged community IronTract Challenge, which aims answer this question leveraging unique dataset. Macaque brains that both tracer...
Abstract Diffusion weighted MR imaging can assist preoperative planning by reconstructing the trajectory of eloquent fiber pathways. A common task is delineation corticospinal tract in its full extent because lesions to this bundle severely affect quality life. However, challenging as existing tractography algorithms typically produce either incomplete results or multiple false-positive tracts. In work, we suggest a novel approach that reconstructs multi-level structures progressively taking...
Navigated transcranial magnetic stimulation (nTMS) motor mapping allows locating function in the individual patient pre-operatively and, to a certain extent, decreases false-positive rate for fiber tractography. However, false-negative is still high. In this work we evaluate novel multi-level tractography (MLFT) along with conventional deterministic algorithms patients motor-eloquent high-grade glioma, combined nTMS mapping-based region of interest (ROI) placement. The results were compared...
Abstract Brain atlases and templates are at the heart of neuroimaging analyses, for which they facilitate multimodal registration, enable group comparisons provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping between images perform poorly in presence structural pathology. Whilst several strategies exist to overcome this problem, their performance is often dependent type, size homogeneity any lesions present. We therefore propose a new solution,...