Title Feature-based registration of thorax CT scan slices
Authors Bilinskas, Mykolas Jurgis ; Dzemyda, Gintautas ; Trakymas, Mantas
DOI 10.15388/Informatica.2017.137
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Is Part of Informatica.. Vilnius : Institute of Mathematics and Informatics. 2017, Vol. 28, no 3, p. 439-452.. ISSN 0868-4952. eISSN 1822-8844
Keywords [eng] Image registration ; computed tomography ; thorax bone tissue ; feature-based registration ; image parameterization.
Abstract [eng] Radiologists need to find a position of a slice of one computed tomography (CT) scan in another scan. The image registration is a technique used to transform several images into one coordinate system and to compare them. Such transversal plane images obtained by CT scans are considered, where ribs are visible, but it does not lessen the significance of our work because many important internal organs are located here: liver, heart, stomach, pancreas, lungs, etc. The new method is developed for registration based on the mathematical model describing the rib-bounded contour. Parameters of the mathematical model and of distribution of the bone tissue on the CT scan slice form a set of features describing a particular slice. The registration method applies translation, rotation, and scaling invariances. Several strategies of translation invariance and options of the unification of scales are proposed. The method is examined on real CT scans seeking for its best performance.
Published Vilnius : Institute of Mathematics and Informatics
Type Journal article
Language English
Publication date 2017
CC license CC license description