A5021923510- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Bone and Joint Diseases
- Fetal and Pediatric Neurological Disorders
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- Lung Cancer Diagnosis and Treatment
- NMR spectroscopy and applications
- Meningioma and schwannoma management
- Advanced X-ray and CT Imaging
- Image and Signal Denoising Methods
- Theoretical and Computational Physics
Lund University
2019-2023
Kennedy Krieger Institute
2023
Johns Hopkins University
2023
Masaryk University
2020
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays diagnosis treatment. Strategies to decrease the rate unnecessary optimize surveillance regimens are needed.
Purpose To evaluate the feasibility of a 3‐minutes protocol for assessment microscopic anisotropy and tissue heterogeneity based on tensor‐valued diffusion MRI in wide range intracranial tumors. Methods B‐tensor encoding was performed 42 patients with tumors (gliomas, meningiomas, adenomas, metastases). Microscopic were evaluated by estimating anisotropic kurtosis (MK A ) isotropic I ), respectively. An extensive imaging compared protocol. Results The fast yielded parameters characteristics...
Diffusion MRI may enable non-invasive mapping of axonal microstructure. Most approaches infer axon diameters from effects time-dependent diffusion on the diffusion-weighted MR signal by modeling axons as straight cylinders. Axons do not, however, propagate in trajectories, and so far impact trajectory diameter estimation has been insufficiently investigated. Here, we employ a toy model axons, which refer to undulating thin fiber model, analyze trajectories time dependence diffusion. We study...
Monitoring time dependence with diffusion MRI yields observables sensitive to compartment sizes (restricted diffusion) and membrane permeability (water exchange). However, restricted exchange have opposite effects on the diffusion-weighted signal, which can lead errors in parameter estimates. In this work, we propose a signal representation that incorporates of both up second order b-value is compatible gradient waveforms arbitrary shape. The features mappings from waveform two scalars...
Mean diffusivity (MD) and fractional anisotropy (FA) from diffusion MRI (dMRI) have been associated with cell density tissue across tumors, but it is unknown whether these associations persist at the microscopic level. To quantify degree to which anisotropy, as determined histology, account for intra-tumor variability of MD FA in meningioma tumors. Furthermore, clarify other histological features additional dMRI parameters. We performed ex-vivo 200 μm isotropic resolution imaging 16 excised...
Preoperative radiological assessment of meningioma characteristics is value for pre- and post-operative patient management, counselling, surgical approach.To investigate whether tensor-valued diffusion MRI can add to the preoperative prediction consistency, grade type.30 patients with intracranial meningiomas (22 WHO I, 8 II) underwent prior surgery. Diffusion was performed linear spherical b-tensors b-values up 2000 s/mm2. The data were used estimate mean diffusivity (MD), fractional...
Motivation: Conventional MRI struggles to capture heterogeneous histopathological subtypes within multiple sclerosis (MS) lesions, mainly due a lack of microstructural specificity. Goal(s): (i) To unveil distinct alteration MS lesions using advanced multi-contrast MRI; (ii) increase sensitivity individual microstructure. Approach: K-means clustering was applied quantities, including parameters from diffusometry (μFA [axonal integrity marker], MD), susceptometry (QSM, 𝜒dia...
Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important the workup of gliomas. However, white matter may also appear as hyperintense, which conflate interpretation. To investigate whether DWI with spherical b-tensor encoding (STE) can be used to suppress and enhance conspicuity glioma unrelated matter. Twenty-five patients a tumor at least one pathology-related hyperintensity on underwent conventional MRI 3 T. The was performed both linear...
Abstract Background Mean diffusivity (MD) and fractional anisotropy (FA) obtained with diffusion MRI (dMRI) have been associated cell density tissue across tumors, but it is unknown whether these associations persist at the microscopic level. Purpose To quantify degree to which (CD) structure (SA), as determined from histology, account for intra-tumor variability of MD FA in meningioma tumors. Furthermore, clarify histological features other than additional MD. Materials Methods We performed...
A significant problem in diffusion MRI (dMRI) is the lack of understanding regarding which microstructural features account for variability tensor imaging (DTI) parameters observed meningioma tumors. common assumption that mean diffusivity (MD) and fractional anisotropy (FA) from DTI are inversely proportional to cell density tissue anisotropy, respectively. Although these associations have been established across a wide range tumors, they challenged interpreting within-tumor variations...
Diffusion MRI reflects tissue microstructure and mean diffusivity (MD) fractional anisotropy (FA) are often readily interpreted in terms of cellularity cell anisotropy, respectively. Here, we investigated to which degree histological features accounts for their variations fixed sections meningioma tumors. Histological slices were quantified or by a neural network. Results show that some cases the majority variation can be attributed whereas others none. Similarly, samples only minority...