Osteoarthritis (OA) is a syndrome of joint pain that affects the large weight bearing joints. It is caused by an abnormal wearing of articular cartilage, covering the joints. In addition to the inconvenience OA causes, its treatment is very time consuming and expensive. Therefore it is desirable to improve methods for an early diagnosis of OA. The detection of thinning of articular cartilage pr...

OBJECTIVE To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. To compare between visual and automatic segmentation, and to de...

Cerebrovascular diseases are one of the serious causes for increase in mortality rate world which affect blood vessels and supply to brain. In order, diagnose study abnormalities cerebrovascular system, accurate segmentation methods can be used. The shape, direction distribution studied using automatic segmentation. This will help doctors envisage system. Due complex shape topology, is still a ...

In this article, we propose an automatic method for the segmentation of pollen grains from microscope images, followed by the automatic segmentation of their exine. The objective of exine segmentation is to separate the pollen grain in two regions of interest: exine and inner part. A coarse-to-fine approach ensures a smooth and accurate segmentation of both structures. As a rough stage, grain s...

Abstract Funding Acknowledgements Type of funding sources: None. Background Vessel-to-background contrast (VBC), the ratio signal intensities (SI) within a vessel segment compared to surrounding tissue, is an essential objective parameter for assessing image quality in contrast-enhanced MR angiography (CE-MRA) peripheral arteries. (1–3) Manual evaluation by measurement SIs and area labour-inten...

PURPOSE To establish the accuracy, intra- and inter-observer variabilities of four different segmentation methods for measuring cardiac functional parameters in healthy and infarcted rat hearts. MATERIALS AND METHODS Six Wistar rats were imaged before and after myocardial infarction using an electrocardiogram and respiratory-gated spoiled gradient echo sequence. Blinded and randomized dataset...

Automatic image segmentation becomes very crucial for tumor detection in medical image processing. Manual and semi automatic segmentation techniques require more time and knowledge. However these drawbacks had overcome by automatic segmentation still there needs to develop more appropriate techniques for medical image segmentation. Therefore, we proposed hybrid approach based image segmentation...

A method for automatic liver tumor segmentation from computer tomography (CT) images is presented in this paper. Segmentation is an important operation before surgery planning, and automatic methods offer an alternative to laborious manual segmentation. In addition, segmentations of automatic methods are reproducible, so they can be reliably evaluated and they do not depend on the performer of ...