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This paper presents an evaluation of an algorithm for generation of 3D breast software phantoms for mammography. For this purpose, thirty breast phantoms of different shape, size and composition and with no pathology included were generated. Mammographic images of these breast models were produced by simulating mammographic image acquisition. Quantitative texture analysis included calculation of fractal...
Identification and characterization of diffuse parenchyma lung disease patterns challenges computer aided diagnosis (CAD) schemes in computed tomography (CT). Accuracy of these preprocessing stages is expected to influence the accuracy of lung CAD schemes. Although algorithms aimed at improving the accuracy of segmentation of lung fields in presence of DPLDs have been reported, the corresponding vessel...
Active shape models (ASMs) are statistical, deformable models, exhibiting a remarkable performance for the segmentation of the lung fields in plain chest radiographs. In this paper we propose a novel approach to improving the robustness of the original ASM against weak lung field boundaries, which can cause leaking of the shape's contour into the lung fields. The ASM is shielded against leaking by...
The authors proposed a novel approach for the acetowhite region segmentation in order to improve the segmentation accuracy. The proposed algorithm took two steps to finish the segmentation work, the first step: applied the watershed algorithm to finish the coarse segmentation and locate the acetowhite region, the second step: adjusted the acetowhite region boundary to plot precise acetowhite region...
The expertise and experience are required for an examiner to diagnose using echocardiogram. To evaluate the synchronicity of motion in the heart, the tissue Doppler imaging (TDI) technique is popular but it has anisotropy in motion detection. Therefore, we have developed software to recognize the synchronous motion of heart by calculating intersection points between the instantaneous velocities of...
In this paper we propose a novel method to detect and record various posture-based and movement-based events of interest in a typical elderly monitoring application in a home surveillance scenario. Posture-based events include standing, sitting, bending/squatting, side lying and lying toward the camera. While movement-based events include running, jumping, active and inactive events. For posture classification,...
In this work we explore the application of graph cuts techniques to the problem of finding the boundary of different breast tissue regions in mammograms. The goal of the segmentation algorithm is to see if graph cuts algorithm could separate different densities for the different breast patterns. The graph cut is applied with multi-selection of seeds label to provide the hard constraint, whereas the...
In this paper, we propose an improved model, called three-dimensional (3-D) level set method, for active contours to detect maxillary sinuses in cone beam computed tomography(CBCT) images. This method is based on the techniques of two-dimensional(2-D) level set method and active contour without edges (or Chan-Vese) method. This model can detect the maxillary sinus correctly not only in normal cases,...
The applicability and reliability of Infrared (IR) spectroscopy to distinguish normal and abnormal cells has opened this research to obtain new features from IR spectral of cervical cells to be fed into multilayered perceptrons (MLP) networks. In order for neural networks to be used as cervical precancerous diagnostic system, the features of cervical cell were used as inputs for neural networks and...
In this paper, an automatic border detection of cardiac cavity in two-dimensional short axis echocardiography image is proposed. The method uses boundary and triangle equation to detect and reconstruct the border. The first step is determining the initial centers boundary. The second step is applying morphological and thresholding operations to eliminate noise and convert it into binary image. The...
In this paper, a scale/frequency approach, based on the wavelet transform, was used in an attempt to characterize carotid atherosclerotic plaque from B-mode ultrasound. Two wavelet decomposition schemes, namely the discrete wavelet transform (DWT) and wavelet packets (WP), and three basis functions, namely Haar, symlet3 and biorthogonal3.1, were investigated in terms of their ability to discriminate...
Cardiotocographic data provide physicians information about foetal development and, through assessment of specific parameters (like accelerations, uterine contractions, ...), permit to assess conditions such as foetal distress. An incorrect evaluation of foetal status can be of course very dangerous. In the last decades, to improve interpretation of cardiotocographic recordings, great interest has...
The new Wound Diagnostics Tool (WDT) software package presented here aims to produce wound progress statistics that have clinical significance by linking digital image-based and three-dimensional (3D) geometry maps of the ulcer with existing traditional risk assessment techniques and other wound progress tracking information. All this information is then combined in a detailed electronic report that...
In this study the value of magnetic resonance image (MRI) shape and texture analysis was assessed in multiple sclerosis (MS) subjects, both in differentiating between normal or normal appearing and abnormal tissue and in assessing disease onset. Shape and texture analysis was carried out in normal brain white matter and lesions detected in transverse sections of T2-weighted magnetic resonance (MR)...
It has been well documented that radiologists' performance is not perfect: they make both false positive and false negative decisions. For example, approximately thirty percent of early lung cancer is missed on chest radiographs when the evidence is clearly visible in retrospect. Currently computer-aided detection (CAD) uses software, designed to reduce errors by drawing radiologists' attention to...
In this study we present an integrated system for supporting the diagnosis of endometrial cancer. The system consists of an electronic patient record that incoporates a hysteroscopy imaging CAD system for the early detection of endometrial cancer. The electronic patient record is based on information collected from: appointments, patient info, hysteroscopy reporting and pharmacy. The CAD system is...
In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using a modified version of the local binary patterns operator (LBP). Then, two-dimensional histograms based on the LBP data from different color channels are created. Finally, the classification is carried out by employing...
The contribution aims at designing and testing an automatic method to estimate the status of the retinal neural fibre layer (NFL) based on analysing the output of the most common ophthalmological imaging modality - fundus camera images. As the neural layer manifests itself in these images rather faintly and is often hardly visible, the method has to utilise subtle features discoverable, with a reasonable...
Developed prototype of network based clinical decision support system consists of database of clinical data and web-based applications for signal and image analysis methods and algorithms. The methods for eye fundus image analysis and ECG P-wave morphology evaluation are the first methods covering two clinical specialties - cardiology and ophthalmology in the system. Network based database and combined...
There are presented methods of computer-aided statistical analysis of ultrasound elastograms. It is described an approach consisting in initial segmentation of elastograms visualizing low-elasticity segments distribution in the tissue of an examined biological organ and in statistical analysis of this distribution. It was observed a good correlation between the values of some statistics and medical...
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