Blar i HVL Open på forfatter "Klepaczko, Artur"
-
Healthy kidney segmentation in the DCE-MR images using a convolutional neural network and temporal signal characteristics
Klepaczko, Artur; Eikefjord, Eli Nina; Lundervold, Arvid (Peer reviewed; Journal article, 2021)Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) requires determination of signal intensity time courses in the region of renal parenchyma. Thus, selection of voxels ... -
A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney
Klepaczko, Artur; Strzelecki, Michał; Kociołek, Marcin; Eikefjord, Eli Bjøvad; Lundervold, Arvid (Peer reviewed; Journal article, 2020)Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an imaging technique which helps in visualizing and quantifying perfusion—one of the most important indicators of an organ’s state. This paper ...