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Human heart anatomy is the study of morphological structures and relationships between morphological structures. Hence such a study when visualized in the form of a two dimensional atlas can hold strong interactive sessions between doctors and medical students. Atlas is a visualization technique developed for understanding the morphological structures of a human body. Interacting directly with morphological...
Ant Colony Systems (ACS) have been applied to solve complex problems. The first Ant System was proposed in the earlier nineties, and since then several studies were performed to apply this paradigm in real problems. Several researchers have explored the idea of applying ACS to image processing. Herein, the original ACS models applied to image processing are presented. Moreover, two new models, based...
In this paper, we proposed a statistical noise estimation kernel based on Rayleigh distribution function. The kernel, as a filter, is implemented in breast lesion boundary detection for ultrasound images. The detection sequence includes: histogram equalization, nonlinear diffusion, convolution of the breast image with the developed kernel, median filtration, segmentation, labelling and morphological...
In the human body knees are most complex and delicate joints. Knee joints are frequently injured and damaged due to articulations. The knees are among the joints most commonly affected by osteoarthritis (OA). Articular Cartilage is a hard but slippery coating on the end of each bone which forms the joint. Cartilage breaks down and wears away in OA. In this work, image processing techniques are applied...
Radiation therapy is one of the most effective options used in the treatment of about half of all people with cancer. A critical goal in radiation therapy is to deliver optimal radiation doses to the observed tumor while sparing the surrounding healthy tissues. Radiation oncologists typically manually delineate normal and diseased structures on three-dimensional computed tomography~(3D-CT) scans....
The development of computer-aided diagnosis (CAD) for breast magnetic resonance (MR) images has encountered some big challenges. One of these challenges is related to breast lesion segmentation. Accurate segmentation of breast lesions has a vital role in other consequent applications such as feature extraction. Since malignant breast lesions typically appear with irregular borders and shapes in MR...
In this paper, a fast and robust graph-based approach for boundary estimation of fiber bundles derived from Diffusion Tensor Imaging (DTI) is presented. DTI is a non-invasive imaging technique that allows the estimation of the location of white matter tracts based on measurements of water diffusion properties. Depending on DTI data, the fiber bundle boundary can be determined to gain information about...
This paper presents a new hybrid speed function needed to perform image segmentation within the level-set framework. This speed function provides a general form that incorporates the alignment term as a part of the driving force for the proper edge direction of an active contour by using the probability term derived from the region partition scheme and, for regularization, the geodesics contour term...
This paper describes a new method developed for fusion of X-ray and fluorescent molecular tomography (FMT) images. For easier diagnostics, images obtained from X-ray and FMT sources are fused to generate perceptibly informative image display using the spatial and spectral domain properties of the images. The basic premise in this research originates from the fact that in medical imaging not all the...
This paper presents a method to segment geometric structures from the Meccus Phyllosomus bug eggs. These structures are of interest because they may help on the taxonomy of the bug families and their possible hybrids. The segmentation method is based on the Perona - Malik anisotropic filtering to enhance the images. A tune in parameter process is proposed for the filter. After this filtering, proposed...
The shape deformation within the optic disk (OD) is an important indicator for the detection of glaucoma. In this paper, relevant disk parameters are estimated using the OD and cup boundaries. A deformable model guided by regional statistics is used to detect the OD boundary. A cup boundary detection scheme is presented based on the appearance of pallor in Lab colour space and the expected cup symmetry...
An efficient K-Means clustering algorithm is proposed using the power of SQL in a relational Database Management environment. Further, this method is applied to segment 2D echocardiography images. We propose this method mainly to improve the speed of segmentation process for further clinical analysis and diagnosis (example: Left Ventricular (LV) boundary detection and other 2D quantitative measurements)...
Nature of medical images makes segmentation a difficult problem. Often the human anatomy in medical images blend with its surrounding due to low contrast thus making changes in the edge gray level too low and difficult to detect. Medical images are also noisy and fuzzy. The main challenge of this paper is to detect the outer cortical (OC) and inner cortical (IC) of the bone for the measurement of...
Although a variety of edge detection algorithms are available, they do not always lead to acceptable results in extracting various features in an image. In this paper, an algorithm for detecting blood vessels in angiographic images of human heart is presented. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian shaped curve. Blood vessels usually have poor local...
Accurate identification of lesion borders is an important task in the analysis of dermoscopy images since the extraction of skin lesion borders provides important cues for accurate diagnosis. Snakes have been used for segmenting a variety of medical imagery including dermoscopy, however, due to the compromise of internal and external energy forces they can lead to under- or over-segmentation problems...
Computer aided diagnosis of dermoscopy images has shown great promise in developing a quantitative, objective way of classifying skin lesions. An important step in the classification process is the lesion segmentation. Many papers have been successful at segmenting melanocytic skin lesions (MSLs) but few have focused on non-melanocytic skin lesions (NoMSLs), since the wide variety of lesions makes...
The automatic detection and segmentation of the pectoral muscle in the medio-lateral oblique view of mammograms is essential for further analysis of breast anormalies. However, it is still a very difficult task since the sizes, shapes and intensity contrasts of pectoral muscles change greatly from image to image. In this paper, an algorithm based on the shortest path on a graph is proposed to automatically...
Segmentation of vascular structures of retina for implementation of Clinical diabetic retinopathy decision making systems is presented in this paper. As retinal vascular structure is with thin blood vessels, prediction accuracy is highly dependent upon the segmentation and preprocessing schemes. Complex GSZ shock filters have been used for noise suppression and edge enhancement. Binarization algorithms...
Lesion segmentation is an important step in analysing dermoscopic skin lesion images. In this paper we achieve accurate lesion segmentation using a co-operative neural network-based edge detection approach coupled with a pre-processing step that enhances colour information and contrast of the images. Extensive experiments are carried out on a dataset of 100 dermoscopic images with known ground truths...
Recent in-vitro and in-vivo validation studies confirmed the accuracy of echo particle image velocimetry (echo PIV), a simple non-invasive means of measuring multi-component blood velocity vectors. Echo PIV should also be useful for direct measurement of wall shear stress (WSS) in clinical studies. However, calculation of WSS requires accurate delineation of vessel walls in ultrasound images, which...
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