Analysis of the Effectiveness of Selected Segmentation Methods of Anatomical Brain Structures

Abstract

An important aspect of analysis medical images is acknowledging the role of the segmentation process of individual anatomical structures. This process allows to show the most important diagnostic details. Owing to the segmentation the areas of interest (ROI) it is possible to adapt the methods of further image analysis considering the specification of selected elements. This process has been widely used in medical diagnostics. The article presents the use of segmentation by thresholding, segmentation by region growth and by edge detection to extract the parts of the human brain the user is interested in. The series of MRI (magnetic resonance imaging) images were used. The aim of the research was to develop the methods that would allow comparing the effectiveness various types of anatomical brain structures’ segmentation in two dimensions. The above methods present the different impact that selected types of segmentation, masks or parameters have on the most accurate depiction of a selected human brain element.

Biomedical image segmentation method based on contour preparation

“…1, b is: Area (S 1 ): To implement Q-comparison of images, the paper presents a general methodology for comparing images, which is carried out according to the scheme of "rough-accurate" processing. The "rough" processing scheme consists in segmentation of images and its division into spatially connected areas (segments) [18][19][20] .…”