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Forensic odontology is one method of determining the identity of the individuals who use it as a base dental identification. Teeth can provide information about the individual's identity because of its distinctive. Currently, the process of forensic identification through dental radiography is performed manually so it took a long time to match the teeth with human identity. Therefore, we need a system...
Accurate localization of the left ventricle (LV) boundary from echocardiogram images is of vital importance for the diagnosis and treatment of heart disease. Statistical shape models such as active shape models (ASM) have been commonly used to perform automatic detection of this boundary. Such mod- els perform well when there is low variability in the underlying shape subspace and an accurate initialization...
In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented.
Active Shape Model (ASM) is considered as a high level image processing algorithm. Typical applications include image segmentation and interpretation. A major challenge in ASMs is to repeatedly move model points towards true boundaries. It is a crucial step in the algorithm which fails in cases of low contrast images. In this paper, we present a new search algorithm for ASM to tackle segmentation...
Segmentation of the Right Ventricle (RV) from cardiac MRI images is necessary for evaluating a number of cardiopulmonary and cardiovascular disorders. Active Shape Models (ASM) have been proposed to capture the variability among the different RV shapes and used to segment the RV. Nevertheless, the method is challenged by the complexity and the large variability among the RV shapes. In this work, we...
This paper presents an accurate object segmentation method using novel active shape and appearance models that evolve according to the output of a support vector machine as well as traditional appearance features at shape landmarks. The method consists of two main processes including the building of the shape and appearance models and support vector machine (SVM) classifier, and the segmentation of...
In orthopedics, trigger finger is one of the popular occupational hazards in recent years. Ultrasound images are usually used for diagnosing the severity of trigger finger clinically. Finger ultrasound image has two important characteristics: the shape of tendon is close to an ellipse, and the tendon boundaries vary significantly in image appearance. The traditional segmentation methods usually cannot...
Magnetic resonance imaging (MRI) is widely applied as a safe and reliable method in studying the hidden mechanisms of human speech production. Automatic segmentation of vocal tract shape in MRI is a challenging task due to the dynamic nature of articulation, the variability in the shape introduced by different sounds or different speakers' articulatory configurations, and the connectivity of vocal...
In this work, we present an efficient framework for the training of active shape models (ASM), representing smooth shapes, which is based on the representation of a shape by the vibrations of a spring-mass system. A deformable model whose behavior is driven by physical principles is used on a training set of shapes. The boundary of the regions of interest of the elements of the training set is detected...
This paper introduces a novel shape model, Sparse Representation Shape Model (SRSM). Rather than for modeling specific deformable shapes, this model is specially designed for shape segmentation and matching. This model is utilized under the framework of Active Shape Models (ASM). Unlike the Linear Point Distribution Model utilized by original ASM, which relies on obscure statistical boundary to do...
We describe improvements to a method of detecting patients at risk of osteoporosis from automatic measurement of the inferior mandibular cortex on panoramic dental tomograms. Previous work had used an Active Shape Model (ASM) to locate the mandibular edges. However, the edge-based ASM has little lateral positioning information and in osteoporotic cases the superior border is often poorly defined....
The roundworm Caenorhabditis elegans is an effective model system for biological processes such as immunity, behavior, and metabolism. Robotic sample preparation together with automated microscopy and image analysis has recently enabled high-throughput screening experiments using C. elegans. So far, such experiments have been limited to per-image measurements due to the tendency of the worms to cluster,...
We present a novel optimization scheme in the popular active shape model(ASM) framework, which increases the accuracy and robustness of searching for a hypothesis shape. The determininistic fitting scheme in traditional ASM is substituted by a probabilistic estimation approach in our work. A set of weighted particles is used to represent each salient feature point to form a shape density, the particle...
Myocardial strain is an important measure used for assessing regional function, which could help in detecting myocardial infarction as well as following up with patients with heart diseases. MRI strain-encoding technique (SENC) produces strain values throughout the cardiac cycle. SENC has proved to be one of the few techniques that can quantify right ventricle (RV) regional function. However, SENC...
Many vision problems can be cast as optimizing the conditional probability density function p(C\I) where I is an image and C is a vector of model parameters describing the image. Ideally, the density function p(C\I) would be smooth and unimodal allowing local optimization techniques, such as gradient descent or simplex, to converge to an optimal solution quickly, while preserving significant nonlinearities...
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