A5022362849- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Orthopaedic implants and arthroplasty
- Education, Psychology, and Social Research
- Retinal and Macular Surgery
- Water Quality Monitoring and Analysis
- Hip disorders and treatments
- Speech and Audio Processing
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Digital Radiography and Breast Imaging
- Photoacoustic and Ultrasonic Imaging
- Image and Signal Denoising Methods
- Infant Health and Development
- Analytical Chemistry and Chromatography
- Hearing Loss and Rehabilitation
- Hearing, Cochlea, Tinnitus, Genetics
- Ultrasound and Hyperthermia Applications
- Sparse and Compressive Sensing Techniques
- Analytical Chemistry and Sensors
- Neurological and metabolic disorders
- Glioma Diagnosis and Treatment
- Environmental Chemistry and Analysis
- Hearing Impairment and Communication
Czech Academy of Sciences, Institute of Information Theory and Automation
2014-2024
University Hospital Brno
2022-2023
Masaryk University
2022-2023
Czech Academy of Sciences
2017
Brno University of Technology
2010-2015
Czech Academy of Sciences, Institute of Scientific Instruments
2011
Military University Hospital Prague
1999
Hospital Clínico Universitario Lozano Blesa
1993
University of Pardubice
1988-1992
Bevacizumab, an antibody against vascular endothelial growth factor (VEGF), is a promising, yet controversial, drug in human glioblastoma treatment (GBM). Its effects on tumor burden, recurrence, and physiology are unclear. We therefore determined the response to bevacizumab at phenotypic, physiological, molecular level clinically relevant intracranial GBM xenograft model derived from patient spheroids. Using anatomical physiological magnetic resonance imaging (MRI), we show that causes...
Ribofl avin transporter defi ciency (RTD) is rare dis ease characterized by progressive loss of cranial and somatic nerve function. Typically ptosis, bulbar syndrome, muscle weakness, auditory neuropathy are manifested. Without treatment, this leads to death caused respiratory failure, especially when it starts in childhood. In paper, we present two siblings with RTD demonstrate the necessity early dia gnosis ribofl substitution treatment. can prevent hearing increase chance for successful...
Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting nonblind deconvolution the established methods derive estimates from observed arterial input function (AIF) tissue tracer concentration function. These sensitive errors in AIF, measured some nearby artery or estimated by multichannel blind deconvolution. Here, a single-channel algorithm is presented, which only uses single corresponding AIF impulse response That...
has often been proposed as a quantitative imaging biomarker for diagnosis, prognosis, and treatment response assessment various tumors. None of the many software tools
Purpose One of the main challenges in quantitative dynamic contrast‐enhanced (DCE) MRI is estimation arterial input function (AIF). Usually, signal from a single artery (ignoring contrast dispersion, partial volume effects and flow artifacts) or population average such signals (also ignoring variability between patients) used. Methods Multi‐channel blind deconvolution an alternative approach avoiding most these problems. The AIF estimated directly measured tracer concentration curves several...
JPEG decompression can be understood as an image reconstruction problem similar to denoising or deconvolution. Such problems solved within the Bayesian maximum a posteriori probability framework by iterative optimization algorithms. Prior knowledge about is usually described l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> norm of its sparse domain representation. For many problems, if forms tight frame, alternating direction method...
The novel human computer interface is introduced, based on tongue and lips movements using video data from a commercially available camera. size direction of the are extracted can be used for setting cursor actions or to other relevant activities. movement detection convolutional neural networks. applicability proposed solution shown ASSISLT system [1], aimed support speech therapy adults children with inborn acquired motor disorders. focuses individual treatment exercises that improve...
This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) indices (AUC, TTP) that are only related to the physiological parameters a tissue (e.g. blood flow, vessel permeability) but do not their absolute quantification. Recent methods quantification these shortly reviewed. The main problem arterial input function (AIF). summarizes extends current blind-deconvolution AIF...
Standard decompression of JPEG images produces artifacts along edges and a disturbing checkerboard pattern. To reduce these artifacts, can be formulated as an image reconstruction problem within Bayesian maximum posteriori probability framework. In this type problem, the prior information about is typically given by l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> norm its sparse domain representation. paper, we show how solution...
The young population requires early rehabilitation of their hearing loss for normal cognitive, auditive hence social development. All which, in turn, may have an impact on quality life (QoL). This study aims to evaluate QoL between two different bone conduction (BC) devices: a noninvasive adhesive aid (Adhear [ADH]) vs. active transcutaneous implant (Bonebridge [BB]).
Purpose The Tofts and the extended models are pharmacokinetic commonly used in dynamic contrast‐enhanced MRI (DCE‐MRI) perfusion analysis, although they do not provide two important biological markers, namely, plasma flow permeability‐surface area product. Estimates of such markers possible using advanced describing vascular distribution phase, as tissue homogeneity model. However, disadvantage lies biased uncertain estimates, especially when estimates computed voxelwise. goal this work is...
This work proposes a new software system ASSISLT to support speech therapy for children and adults using deep learning approaches. The application offers an adjustable set of exercises recommended by therapist aims motivate help with regular home practice. Augmented reality is employed lead the exercise moves appraise effort. core automatically evaluating webcam developing image processing neural network methods face, lips, teeth, tongue detection. pipeline shown together solutions subtasks...
In DCE-MRI, advanced pharmacokinetic models, such as the 2CX, TH and ATH provide a more complete set of parameters than commonly used simpler Tofts Patlak models. However, their use requires higher temporal resolution signal-to-noise ratio. Hence, advanced-model DCE-MRI allows for imaging only few slices. We present an approach making 3D possible evaluate it under low-signal-to-noise-ratio conditions small-animal MRI. Our methodology is based on compressed sensing spatially regularized...
Abstract Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility (DSC-MRI) are perfusion imaging techniques used mainly for clinical preclinical measurement of vessel permeability capillary blood flow, respectively. It is advantageous to apply both methods exploit their complementary information about the status tissue. We propose a novel acquisition method that combines advantages current simultaneous sequential acquisition. The proposed consists DCE-MRI interrupted by DSC-MRI A...