External Force for Deformable Models in Medical Image Segmentation: a Survey
نویسندگان
چکیده
Many image segmentation techniques are available in the literature. Among the available techniques, parametric deformable models play an important role in many medical imaging applications. These models have been proved to be effective in segmenting an anatomic structure using constraints derived from the image data along with a prior knowledge about the location, size and shape of these structures. These models also support highly intuitive interaction mechanisms, which helps medical practitioners to bring their expertise to bear on the model-based image interpretation task. In this paper, a review of nineteen different external forces for the parametric deformable model applied to the medical image segmentation is presented. The main purpose of survey is to identify and discuss each category with its principle, mathematical model, advantages, disadvantages and applications to medical image analysis.
منابع مشابه
A Hybrid 3D Colon Segmentation Method Using Modified Geometric Deformable Models
Introduction: Nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis. Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models...
متن کاملDeformable Models for Biomedical Data Analysis
The rapid development of computer and noninvasive sensor technologies is revolutionizing medicine, offering scientists and physicians powerful new investigative and diagnostic tools. Computer-based medical image analysis is an especially challenging task which has not kept pace with the ability to acquire digital images in various modalities. In response to this challenge, we have been developi...
متن کاملMedical Image Segmentation Using Magnetostatic Active Contours (MAC) with Tensor Diffusion
In medical imagery, traditional deformable models often face substantial challenges due to fine structures and image complexity. Recently, based on magnetostatic theory, a new deformable model, namely MAC, is proposed for improving the ability of the active contour in dealing with complex geometries and segmentation difficulties. A Laplacian diffusion scheme is proposed in the MAC model to tack...
متن کاملSegmentation of Structures in Medical Images: Review and a New Computational Framework
This paper aims to make a brief survey on the current segmentation algorithms used for medical images. Instead of describing the detailed procedures, we will summarize their main ideas, enumerate their merits and drawbacks and discuss their possible applications. The algorithms are classified into three main categories: threshold-based models, pattern recognition models and deformable models. D...
متن کاملDeformable models in medical image analysis: a survey
This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics and approximation theory. They have proven to be effective in segmenting, matching and tracking anatomic structures by exploiting (b...
متن کامل