Title :
A review of segmentation algorithms for ear image data
Author :
Ferreira, Ana ; Tavares, João Manuel R S ; Gentil, Fernanda
Author_Institution :
Inst. de Eng. Mec. e Gestao Ind., Univ. do Porto, Porto, Portugal
Abstract :
The segmentation of ear structures in computed tomography (CT) and magnetic resonance (MR) images has gained high importance in the last years. In this paper, we present a review on the segmentation algorithms presented in the literature. As such, several algorithms, approaches, related issues and problems are defined and explained. Additionally, their use is illustrated and discussed, and their advantages and disadvantages are pointed out.
Keywords :
biomedical MRI; computerised tomography; ear; image segmentation; medical image processing; CT; MR images; computed tomography; ear image data; ear structures; magnetic resonance images; segmentation algorithms; Algorithm design and analysis; Clustering algorithms; Computed tomography; Deformable models; Ear; Image segmentation; Irrigation; Medical imaging; biomechanical models; deformable models; hearing; thresholding;
Conference_Titel :
Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2843-2
