Renat Sibgatulin

ORCID: 0000-0001-8878-9680
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About
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Research Areas
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Multiple Sclerosis Research Studies
  • NMR spectroscopy and applications
  • MRI in cancer diagnosis
  • Ultrasound and Hyperthermia Applications
  • Parkinson's Disease Mechanisms and Treatments
  • Bone and Joint Diseases
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Sepsis Diagnosis and Treatment
  • Neurological disorders and treatments
  • Ultrasound Imaging and Elastography
  • Medical Imaging and Analysis
  • Cell Image Analysis Techniques
  • Musculoskeletal pain and rehabilitation
  • Thermal Regulation in Medicine

Friedrich Schiller University Jena
2021-2024

Jena University Hospital
2020-2024

The diagnosis of multiple sclerosis (MS) is usually based on clinical symptoms and signs damage to the central nervous system, which assessed using magnetic resonance imaging. correct interpretation these data requires excellent expertise experience. Deep neural networks aim assist clinicians in identifying MS imaging data. However, before such can be integrated into workflow, it crucial understand their classification strategy. In this study, we propose use a convolutional network identify...

10.3389/fnins.2020.609468 article EN cc-by Frontiers in Neuroscience 2020-12-18

Paramagnetic transition metals play a crucial role as cofactors in various cellular catalytic processes. However, their high concentrations reactive oxidation states can induce oxidative stress, resulting cell dysfunction or death. Hence, it is vital to have methods monitor metal and paramagnetic properties cells for medicine biology. Here we present novel multimodal method in-cell magnetometry enabling direct measurement of magnetic within individual tissue, without prior isolation at room...

10.1103/physrevx.14.021041 article EN cc-by Physical Review X 2024-06-10

Background Preventing sepsis‐associated acute kidney injury (S‐AKI) can be challenging because it develops rapidly and is often asymptomatic. Probability assessment of disease progression for therapeutic follow‐up outcome are important to intervene prevent further damage. Purpose To establish a noninvasive multiparametric MRI (mpMRI) tool, including T 1 , 2 perfusion mapping, probability the S‐AKI. Study Type Preclinical randomized prospective study. Animal Model One hundred forty adult...

10.1002/jmri.28698 article EN cc-by Journal of Magnetic Resonance Imaging 2023-04-07

Multiple studies have reported a significant dependence of the effective transverse relaxation rate constant (R2*) and phase gradient-echo based (GRE) signal on orientation white matter fibres in human brain. It has also been hypothesized that magnetic susceptibility, as obtained by single-orientation quantitative susceptibility mapping (QSM), exhibits such dependence. In this study, we investigated relationship cohort healthy volunteers. We show R2* follows predicted consistently across...

10.1016/j.neuroimage.2021.118442 article EN cc-by NeuroImage 2021-07-31

This work demonstrates the use of echo-shifting in combination with an efficient variable flip angle 3D RARE to reconstruct fat fraction distribution a liver sample, resolving fine structure deposits tissue Dixon based analysis at 9.4T.

10.58530/2023/2374 article EN Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition 2024-08-14

It is well established in literature that MRI quantitative parameters such as T2 or diffusion coefficients change significantly immediately after a strenuous exercise session. In this work, we instead focus on the long-term effects of regular repeated physical activity three cohorts characterized by different training regimes. A multiparametric protocol was developed to assess T1, T2, fat fraction, and IVIM values examine differences lumbar spine muscle physiology between cohorts.

10.58530/2023/4214 article EN Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition 2024-08-14

Adaptations in muscle physiology due to long-term physical training have been monitored using various methods: ranging from invasive techniques, such as biopsy, less approaches, electromyography (EMG), quantitative magnetic resonance imaging (qMRI) parameters. Typically, these latter parameters are assessed immediately after exercise. In contrast, this work assesses adaptations a set of qMRI obtained at rest the lumbar spine muscles volunteers. To end, we developed multiparametric...

10.3389/fphys.2024.1408244 article EN cc-by Frontiers in Physiology 2024-10-17

Quantitative susceptibility mapping (QSM) has been successfully applied to study changes in deep grey matter nuclei as well lesional tissue, but its application white complicated by the observed orientation dependence of gradient echo signal. The anisotropic tensor is thought be at origin this dependence, and magnetic anisotropy (MSA) derived from proposed a marker state integrity myelin sheath may therefore particular interest for demyelinating pathologies such multiple sclerosis (MS)....

10.1016/j.nicl.2022.103059 article EN cc-by NeuroImage Clinical 2022-01-01

Attaining reproducible, time-efficient, high spatial resolution and quantitative MRI perfusion images in small animal @9.4T is still challenging. To take a step toward this goal, data from arterial spin labeling (ASL), Flow-sensitive Alternating Inversion Recovery (FAIR), dynamic susceptibility contrast (DSC), pseudo-continuous (pCASL) sequences are compared by assessing cerebral 5 rats, each scanned 3 times. Differences (cerebral blood flow) CBF major brain regions were analyzed, the...

10.58530/2022/1144 article EN Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition 2023-08-03

MRI holds high promise to diagnose Parkinson’s disease (PD) at clinical field strength B0. However, it remains unclear which B0 optimizes T2* contrast in substantia nigra, provides diagnostic accuracy. We used quantitative B0=1.5T-9.4T, MR microscopy, and histochemistry characterize the dependence of major contributors R2* (1/T2*): dopaminergic neurons, ferritin, myelin. maps were similar B0=3T-9.4T, all contributions scaled approximately linearly with Hence, mechanisms are across...

10.58530/2022/2861 article EN Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition 2023-08-03
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