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...
The human ear is a complex biomechanical system and is divided into three parts: outer, middle and inner ear. The middle ear is formed by ossicles (malleus, incus and stapes), ligaments, muscles and tendons, that transfer sound vibrations from the eardrum to the inner ear, linking with mastoid and Eustachian tube. In this work, a finite element modelling of the tympano-ossicular system of the middle ear was dev...
Hereby it is presents a novel methodology to segment the internal structures of the human ear based on image registration. The first step of the methodology concerns the registration of the volumetric image to be segmented with a reference volumetric image previously defined and manually segmented. Then, the geometric transformation found in the registration step is applied to the image to be segmented and cons...
Tese de doutoramento. Ciências de Engenharia. Faculdade de Engenharia. Universidade do Porto. 2008
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 ...
The main goal of this project is to identify an efficient segmentation algorithm for each anatomic structure of the ear. Therefore, in this paper, it is presented and analyzed computational algorithms that have been used to segment structures in images, especially of the human ear in Computed Tomography (CT) images.
O objectivo principal deste artigo centra-se na apresentação de métodos de segmentação de imagem adequados para a construção de modelos geométricos 3D das estruturas do ouvido a partir de imagens médicas de Tomografia Computorizada (TC), sendo discutidas as vantagens e desvantagens de cada um. Os métodos são classificados de acordo com as técnicas utilizadas; nomeadamente, em métodos de thresholding, de cluster...
O sistema auditivo humano está inserido no grupo dos sentidos especiais, pois possui receptores altamente localizados que proporcionam informação específica sobre o ambiente que o rodeia. Este sistema compreende os órgãos responsáveis pela função auditiva e pelo equilíbrio. O ouvido humano divide-se em ouvido externo, ouvido médio e ouvido interno. Este último é constituído por três estruturas principais: os ca...
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