期刊
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
卷 17, 期 8, 页码 888-904出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/10255842.2012.723700
关键词
biomedical engineering; medical imaging; analogue circuits; multi-body; finite element modelling; thresholding
资金
- project 'Methodologies to Analyze Organs from Complex Medical Images - Applications to Female Pelvic Cavity' [PTDC/EEA-CRO/103320/2008]
- project 'Bio-computational study of tinnitus' [PTDC/SAU-BEB/104992/2008]
- Fundacao para a Ciencia e a Tecnologia, in Portugal
- Fundação para a Ciência e a Tecnologia [PTDC/EEA-CRO/103320/2008, PTDC/SAU-BEB/104992/2008] Funding Source: FCT
In recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, computerised tomography (CT) and magnetic resonance (MR) image data, has gained significant importance in the medical imaging area, particularly those in CT and MR imaging. Segmentation is the fundamental step of any automated technique for supporting the medical diagnosis and, in particular, in biomechanics studies, for building realistic geometric models of ear structures. In this paper, a review of the algorithms used in ear segmentation is presented. The review includes an introduction to the usually biomechanical modelling approaches and also to the common imaging modalities. Afterwards, several segmentation algorithms for ear image data are described, and their specificities and difficulties as well as their advantages and disadvantages are identified and analysed using experimental examples. Finally, the conclusions are presented as well as a discussion about possible trends for future research concerning the ear segmentation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据