8 citations · 16 across the 8 of their papers we have counts for
8 papers
Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
Svitlana Alkhimova, Oleksii Diumin
Accurate skull-stripping is crucial preprocessing in dynamic susceptibility contrast-enhanced perfusion magnetic resonance data analysis. The presence of non-brain tissues impacts…
Detection of the Arterial Input Function Using DSC-MRI Data
Svitlana Alkhimova, Kateryna Sazonova
Accurate detection of arterial input function is a crucial step in obtaining perfusion hemodynamic parameters using dynamic susceptibility contrast-enhanced magnetic resonance imag…
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy
Svitlana Alkhimova, Svitlana Sliusar
The brain perfusion ROI detection being a preliminary step, designed to exclude non-brain tissues from analyzed DSC perfusion MR images. Its accuracy is considered as the key facto…
Impact of perfusion ROI detection to the quality of CBV perfusion map
Svitlana Alkhimova
The object of research in this study is quality of CBV perfusion map, considering detection of perfusion ROI as a key component in processing of dynamic susceptibility contrast mag…
Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels
S. M. Alkhimova, A. P. Krenevych
The fully automated and relatively accurate method of brain tissues segmentation on T2-weighted magnetic resonance perfusion images is proposed. Segmentation with this method provi…
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy
Svitlana Alkhimova
This paper presents a new approach for relatively accurate brain region of interest (ROI) detection from dynamic susceptibility contrast (DSC) perfusion magnetic resonance (MR) ima…
Automated Detection of Regions of Interest for Brain Perfusion MR Images
Svitlana M Alkhimova
Images with abnormal brain anatomy produce problems for automatic segmentation techniques, and as a result poor ROI detection affects both quantitative measurements and visual asse…
Detection of perfusion ROI as a quality control in perfusion analysis
Svitlana Alkhimova
In perfusion analysis automated approaches for image processing is preferable due to reduce time-consuming tasks for radiologists. Assessment of perfusion results quality is import…