Publications by authors named "E K Iordanishvili"
Article Synopsis
- The study aims to improve diffusion-weighted imaging (DWI) in diagnostic radiology by tackling issues related to low signal-to-noise ratio (SNR) in high b-value images and biases in apparent diffusion coefficient (ADC) values through deep learning techniques.
- Researchers evaluated various reconstruction methods, including traditional parallel imaging and advanced AI-based techniques, using both commercial diffusion phantoms and numerical simulations, measuring their effectiveness across different acceleration factors and flip angles.
- Results indicated that lower SNR led to increased negative bias and reduced precision in ADC measurements, but the deep learning-based method (C-SENSE AI) showed significant improvements in denoised ADC maps compared to conventional methods, particularly at high acceleration and low flip angles.
Introduction: Ischemic stroke is a potential complication of hypereosinophilic syndromes (HES), and little is known about underlying pathophysiological mechanisms. We aimed to describe the imaging patterns of cerebral ischemia in patients with HES.
Methods: An individual case is reported.
Introduction: Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, wearing surgical face masks has become mandatory for healthcare staff in many countries when interacting with patients. Recently, it has been shown that wearing face masks impairs social interaction by diminishing a person's ability to read the emotion of their counterparts, an essential prerequisite to respond adequately in social situations. It is easily conceivable that this may have a tangible negative influence on the communication and relationship between patients and healthcare personnel.
View Article and Find Full Text PDFA large body of molecular and neurophysiological evidence connects synaptic plasticity to specific functions and energy metabolism in particular areas of the brain. Furthermore, altered plasticity and energy regulation has been associated with a number of neuropsychiatric disorders. A favourable approach enabling the modulation of neuronal excitability and energy in humans is to stimulate the brain using transcranial direct current stimulation (tDCS) and then to observe the effect on neurometabolites using magnetic resonance spectroscopy (MRS).
View Article and Find Full Text PDFAlterations in the substantia nigra are strongly associated with Parkinson's disease. However, due to low contrast and partial volume effects present in typical MRI images, the substantia nigra is not of sufficient size to obtain a reliable segmentation for region-of-interest based analysis. To combat this problem, the approach proposed here offers a method to investigate and reveal changes in quantitative MRI parameters in the vicinity of substantia nigra without any a priori delineation.
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