A software tool for automatic classification and segmentation of 2D/3D medical images
PBN-AR
Instytucja
Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki (Politechnika Łódzka)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
ISSN
0168-9002
EISSN
Wydawca
DOI
URL
Rok publikacji
2013
Numer zeszytu
Strony od-do
137-140
Numer tomu
702
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
EN
data classification
image processing software
image analysis
magnetic resonance imaging
texture analysis
Streszczenia
Język
EN
Treść
Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT, MRI) or of its metabolism (PET). However, evaluation of acquired images made by human experts is usually subjective and qualitative only. Quantitative analysis of MR data, including tissue classification and segmentation, is necessary to perform e.g. attenuation compensation, motion detection, and correction of partial volume effect in PET images, acquired with PET/MR scanners. This article presents briefly a MaZda software package, which supports 2D and 3D medical image analysis aiming at quantification of image texture. MaZda implements procedures for evaluation, selection and extraction of highly discriminative texture attributes combined with various classification, visualization and segmentation tools. Examples of MaZda application in medical studies are also provided. (C) 2012 Elsevier B.V. All rights reserved.
Inne
System-identifier
51833
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