Now showing items 1-6 of 6
Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods
(De Gruyter Open, 2012-07-31)
The paper deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It is focused primarily on processing medical images of soft tissues obtained by magnetic ...
GPU-Accelerated Reconstruction of T2 Maps in Magnetic Resonance Imaging
(De Gruyter Open, 2015-08-12)
The main tissue parameters targeted by MR tomography include, among others, relaxation times T1 and T2. This paper focuses on the computation of the relaxation time T2 measured with the Spin Echo method, where the sensing ...
Characterization of the Embryogenic Tissue of the Norway Spruce Including a Transition Layer between the Tissue and the Culture Medium by Magnetic Resonance Imaging
(De Gruyter Open, 2017-02-25)
The paper describes the visualization of the cells (ESEs) and mucilage (ECMSN) in an embryogenic tissue via magnetic resonance imaging (MRI) relaxometry measurement combined with the subsequent multi-parametric segmentation. ...
MRI-Based Visualization of the Relaxation Times of Early Somatic Embryos
(De Gruyter, 2016-04-15)
The large set of scientific activities supported by MRI includes, among others, the research of water and mineral compounds transported within a plant, the investigation of cellular processes, and the examination of the ...
The Evaluation of Noise Spectroscopy Tests
The paper discusses mathematical tools to evaluate novel noise spectroscopy based analysis and describes, via physical similarity, the mathematical models expressing the quantitative character of the modeled task. Using ...
A Novel Tool for Supervised Segmentation Using 3D Slicer
The rather impressive extension library of medical image-processing platform 3D Slicer lacks a wide range of machine-learning toolboxes. The authors have developed such a toolbox that incorporates commonly used machine-learning ...