An Information Fusion Method for the Automatic Delineation of the Bone-Soft Tissues Interface in Ultrasound Images
نویسندگان
چکیده
We present a new method for delineating the osseous interface in ultrasound images. Automatic segmentation of the bone-soft tissues interface is achieved by mimicking the reasoning of the expert in charge of the manual segmentation. Information are modeled and fused by the use of fuzzy logic and the accurate delineation is then performed by using general a priori knowledge about osseous interface and ultrasound imaging physics. Results of the automatic segmentation are compared with the manual segmentation of an expert.
منابع مشابه
Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images
Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...
متن کاملAutomatic classification of Non-alcoholic fatty liver using texture features from ultrasound images
Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent...
متن کاملAutomatic measurement of instantaneous changes in the walls of carotid artery with sequential ultrasound images
Introduction: This study presents a computerized analyzing method for detection of instantaneous changes of far and near walls of the common carotid artery in sequential ultrasound images by applying the maximum gradient algorithm. Maximum gradient was modified and some characteristics were added from the dynamic programming algorithm for our applications. Methods: The algorithm was evaluat...
متن کاملPlant Classification in Images of Natural Scenes Using Segmentations Fusion
This paper presents a novel approach to automatic classifying and identifying of tree leaves using image segmentation fusion. With the development of mobile devices and remote access, automatic plant identification in images taken in natural scenes has received much attention. Image segmentation plays a key role in most plant identification methods, especially in complex background images. Wher...
متن کاملA CAD System Framework for the Automatic Diagnosis and Annotation of Histological and Bone Marrow Images
Due to ever increasing of medical images data in the world’s medical centers and recent developments in hardware and technology of medical imaging, necessity of medical data software analysis is needed. Equipping medical science with intelligent tools in diagnosis and treatment of illnesses has resulted in reduction of physicians’ errors and physical and financial damages. In this article we pr...
متن کامل