Title :
Segmentation of images IRM by Anatomical Atlas
Author_Institution :
Lab. d´Inf. et des Technol. de l´Inf. d´Oran “LITIO”, Oran, Algeria
Abstract :
This paper proposes a method for segmentation of brain MRI medical images based on the type of knowledge provided preconceptions as Anatomical Atlas. Our approach proceeds by registration of an atlas on a patient image picture of seeking repeatedly to maximize the correspondence between the features of Atlas model and segmented image. The procedure of our approach is essentially divided into two steps: a step of affine registration between the patient and the image atlas anatomiquel, thereby determining the geometric transformation leading to better MRI/Atlas alignment, and a step of resetting at levels nonlinear constrained by processing gray calculated in the first phase. The segmentation of tissues or structures is performed by a hierarchical procedure, where the contours spread atlas allows the segmentation of organs or structures in the patient image.
Keywords :
biomedical MRI; geometry; image segmentation; medical image processing; IRM; affine registration; anatomical Atlas model; brain MRI medical image segmentation; geometric transformation; patient image picture; tissue structure; Biomedical imaging; Fabrics; Image segmentation; Magnetic resonance imaging; Measurement; Mutual information; Optimization; Atlas anatomical MRI image processing; Optimization; Registering; Segmentation; similarity measure;
Conference_Titel :
ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-7507-5
DOI :
10.1109/ISKO-Maghreb.2014.7033483