Brain Image Analysis: A Survey
نویسندگان
چکیده
Image analysis is generally a process where digital image processing is utilized to process digital images in order to extract significant statistics or information from the images. The analysis process enables to analyze and visualize medical images of numerous modalities. The paper is basically an overview and discussion of the methods and techniques being proposed and developed in regard of brain image analysis. An image is basically analyzed from the perspective of its segmentation, edge detection, registration and morphology or motion analysis. Here in this paper different brain image types i.e., MRI, CT, PET, EEG/MEG are discussed and presented from the point of operations mentioned above. Each method is discussed and analyzed through its applications, advantages, limitations and results.
منابع مشابه
A Novel Fuzzy-C Means Image Segmentation Model for MRI Brain Tumor Diagnosis
Accurate segmentation of brain tumor plays a key role in the diagnosis of brain tumor. Preset and precise diagnosis of Magnetic Resonance Imaging (MRI) brain tumor is enormously significant for medical analysis. During the last years many methods have been proposed. In this research, a novel fuzzy approach has been proposed to classify a given MRI brain image as normal or cancer label and the i...
متن کاملQuantitative Comparison of SPM, FSL, and Brainsuite for Brain MR Image Segmentation
Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...
متن کاملSurface reconstruction of detect contours for medical image registration purpose
Although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. However, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. A type of verification known as the circularity check for th...
متن کاملBrain Image Compression: A Brief Survey
Brain image compression is known as a subfield of image compression. It allows the deep analysis and measurements of brain images in different modes. Brain images are compressed to analyze and diagnose in an effective manner while reducing the image storage space. This survey study describes the different existing techniques regarding brain image compression. The techniques come under different...
متن کاملImage Segmentation using Fuzzy C Means Clustering: A survey
This paper presents a latest survey of different technologies used in medical image segmentation using Fuzzy C Means (FCM).The conventional fuzzy c-means algorithm is an efficient clustering algorithm that is used in medical image segmentation. To update the study of image segmentation the survey has performed. The techniques used for this survey are Brain Tumor Detection Using Segmentation Bas...
متن کاملHistogram analysis- a useful tool for tissue characterization in brain CT
Introduction: Pixel value in computed tomography (CT) gives the average linear attenuation coefficient of the scanned material in the path of the x-ray beam, being normalized to that of water. It is known that attenuation coefficient or HU value is a function of the chemical characteristic of the material and of the x-ray energy. The CT image shows the HU value by a shade of gr...
متن کامل