Dorian Vogel

ORCID: 0000-0003-3445-576X
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About
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Research Areas
  • Neurological disorders and treatments
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Parkinson's Disease Mechanisms and Treatments
  • Functional Brain Connectivity Studies
  • Neurological Disorders and Treatments
  • Attention Deficit Hyperactivity Disorder
  • Advanced Neuroimaging Techniques and Applications
  • Image and Signal Denoising Methods
  • Digital Filter Design and Implementation
  • Electrical and Bioimpedance Tomography
  • Voice and Speech Disorders
  • Genetic Neurodegenerative Diseases
  • Mathematical Analysis and Transform Methods
  • Chaos-based Image/Signal Encryption
  • Laser Design and Applications
  • Reservoir Engineering and Simulation Methods
  • Transcranial Magnetic Stimulation Studies
  • Particle physics theoretical and experimental studies
  • Catalysis and Oxidation Reactions
  • Advancements in Semiconductor Devices and Circuit Design
  • Characterization and Applications of Magnetic Nanoparticles
  • Phase Equilibria and Thermodynamics
  • Magnetic Field Sensors Techniques

FHNW University of Applied Sciences and Arts
2017-2024

Philipps University of Marburg
2023-2024

Linköping University
2020-2023

Medical Technologies (Czechia)
2018-2023

Anatech
2018

Centre National de la Recherche Scientifique
2016

Université de Strasbourg
2016

Colorado School of Mines
1997

Deep brain stimulation (DBS) therapy requires extensive patient-specific planning prior to implantation achieve optimal clinical outcomes. Collective analysis of patient's images is promising in order provide more systematic assistance. In this paper the design a normalization pipeline using group specific multi-modality iterative template creation process presented. The focus was compare performance selection freely available registration tools and select best combination. workflow applied...

10.1016/j.nicl.2020.102271 article EN cc-by-nc-nd NeuroImage Clinical 2020-01-01

The success of deep brain stimulation (DBS) relies primarily on the localization implanted electrode. Its final position can be chosen based results intraoperative microelectrode recording (MER) and tests. optimal often differs from one selected for chronic with DBS aim study was to investigate, using finite element method (FEM) modeling simulations, whether lead design, electrical setup, operating modes induce differences in electric field (EF) distribution consequence, clinical outcome....

10.3390/brainsci8020028 article EN cc-by Brain Sciences 2018-02-06

Abstract Deep brain stimulation (DBS) is an established therapy for movement disorders such as essential tremor (ET). Positioning of the DBS lead in patient’s crucial effective treatment. Extensive evaluations improvement and adverse effects at different positions various current amplitudes are performed intraoperatively. However, to choose optimal position lead, information has be “mentally” visualized analyzed. This paper introduces a new technique called “stimulation maps,” which...

10.1007/s11517-020-02130-y article EN cc-by Medical & Biological Engineering & Computing 2020-01-30

This paper presents a study on the influence of strong magnetic field NMOS transistors' electrical characteristics. Experiments have been carried out in small animal 7T MRI scanner, and shown that up to exists but remains manageable. It is demonstrated it depends transistor size, orientation chip inside field, gate-to-source voltage. A theoretical analysis good agreement with experiments has developed. Extrapolation ultra-high i.e. above 10T, shows at such may be challenging, can lowered by...

10.1109/icecs.2016.7841264 preprint EN 2016-12-01

Group analysis of patients with deep brain stimulation (DBS) has the potential to help understand and optimize treatment movement disorders. Probabilistic maps (PSM) are commonly used analyze correlation between tissue symptomatic effect but applied different methodological variations.To compute a group-specific MRI template PSMs for investigating impact PSM model parameters.Improvement occurrence dizziness in 68 essential tremor implanted caudal zona incerta were analyzed. The input data...

10.1016/j.brs.2022.08.010 article EN cc-by Brain stimulation 2022-08-18

In this paper, we show that B-spline quarks and the associated quarklets fit into theory of biorthogonal multiwavelets. Quark vectors are used to define sequences subspaces [Formula: see text] which fulfill almost all conditions a multiresolution analysis. Under some special on parameters, they even satisfy those properties. Moreover, prove possess modulation matrices perfect reconstruction condition. Furthermore, existence generalized dual known be at least compactly supported tempered...

10.1142/s0219691323500297 article EN International Journal of Wavelets Multiresolution and Information Processing 2023-05-18

This paper presents a tracking system using magnetometers, possibly integrable in deep brain stimulation (DBS) electrode. DBS is treatment for movement disorders where the position of implant prime importance. Positioning challenges during surgery could be addressed thanks to magnetic tracking. The proposed this paper, complementary existing procedures, has been designed bridge preoperative clinical imaging with surgery, allowing surgeon increase his/her control on implantation trajectory....

10.3390/s21082670 article EN cc-by Sensors 2021-04-10

Abstract Deep brain stimulation (DBS) is a therapy for Parkinson’s disease (PD) and essential tremor (ET). The mechanism of action DBS still incompletely understood. Retrospective group analysis intra-operative data recorded from ET patients implanted in the ventral intermediate nucleus thalamus (Vim) rare. Intra-operative tests generate rich their use has not yet been explored. Objective. To implement, evaluate, apply workflow to probabilistic maps (PSMs) using Vim. Approach. A...

10.1088/1741-2552/ad4742 article EN cc-by Journal of Neural Engineering 2024-05-03

Neuroscience studies entail the generation of massive collections heterogeneous data (e.g. demographics, clinical records, medical images). Integration and analysis such in research centers is pivotal for elucidating disease mechanisms improving outcomes. However, collection clinics often relies on non-standardized methods, as paper-based documentation. Moreover, diverse types are collected different departments hindering efficient organization, secure sharing compliance to FAIR (Findable,...

10.3389/fninf.2024.1435971 article EN cc-by Frontiers in Neuroinformatics 2024-09-05

Abstract This paper is concerned with near-optimal approximation of a given univariate function elements polynomially enriched wavelet frame, so-called quarklet frame. Inspired by hp -approximation techniques Binev, we use the underlying tree structure frame to derive an adaptive algorithm that, under standard assumptions concerning local errors, can be used create approximations error close best for cardinality. We support our findings numerical experiments demonstrating that this approach...

10.1007/s10444-024-10205-9 article EN cc-by Advances in Computational Mathematics 2024-10-31

Deep brain stimulation (DBS) represents today a well-established treatment for movement disorders. Nevertheless the exact mechanism of action DBS remains incompletely known. During surgery, numerous tests are frequently performed in order to evaluate therapeutic and adverse effects before choosing optimal implantation site lead. Anatomical structures responsible induced have been investigated previously, but only based on data obtained with implanted The present study introduces methodology...

10.1109/embc.2018.8512796 article EN 2018-07-01

This paper is concerned with near-optimal approximation of a given function $f \in L_2([0,1])$ elements polynomially enriched wavelet frame, so-called quarklet frame. Inspired by $hp$-approximation techniques Binev, we use the underlying tree structure frame to derive an adaptive algorithm that, under standard assumptions concerning local errors, can be used create approximations error close best for cardinality. We support our findings numerical experiments demonstrating that this approach...

10.48550/arxiv.2301.04111 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01
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