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Contralateral subtraction (C-sub) is a computer-aided diagnosis technique for detecting pulmonary nodules in chest radiographs. This technique enhances nodules in a chest image by subtracting its right / left reversed mirror image from the original image. In this paper we propose an improved C-sub scheme, which uses a ribcage boundary detection method and a global matching method newly proposed in...
Ultrasound images contain speckle noise that creates granular pattern which degrades their quality. Typically, the granular noise has a circular pattern that circles the position of the ultrasound probe which acts as it center. As such, anisotropic diffusion filter cannot completely remove the granular noise. In this work, we propose a technique that pre-processes an ultrasound image using warping...
In chemoembolization, chemotherapy drugs and thrombotic agents are directly injected into the liver tumor through a catheter navigated to the artery that supplies the tumor. In order to help surgeons to train their hand-eye coordination skills to reduce the risk of injecting the thrombotic agents incorrectly and deprive normal tissue of its blood supply, this paper proposes a method for rendering...
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...
Registration is the process of finding transformations that makes correspondence between related image pairs so that pixels in the two images precisely coincide to the same points in the scene. Once registered, the image can be combined or fused in a way that improves useful information extraction. The log-polar transform (LPT) is a well known space variant image registration scheme used for medical...
Image guided interventions (IGI) has the potential to replace conventional open and invasive procedures. These interventions also minimize damage to healthy tissue. Real-time 3D visualization of the problem area is now becoming a necessity for successful IGI. Real-time intra-operative imaging devices like multi-slice CT or 3D ultrasound are noisy and have low resolution hence they need to be compared...
In this paper, we present two new filtered back-projection (FBP) type algorithms for cylindrical detector helical cone-beam geometry with no position dependent backprojection weight. The algorithms are extension of the recent exact Hilbert filtering based 2D divergent beam reconstruction with no back-projection weight to the FDK type algorithm for reconstruction in 3D helical trajectory cone-beam...
This paper focuses on researches related to medical digital imaging of endoscopic gastritis. It provides suffice information on endoscopic procedure and types of gastritis. Besides that, it also briefly addressed feature extraction methods. Feature selection and Multiple Instance Learning (MIL) concept are also reviewed. As a conclusion, this paper become a basis to propose an improved artificial...
This paper presents a new wavelet domain adaptive despeckling technique for contrast enhancement of medical ultrasound (US) images for improving the clinical diagnosis. This method uses the Rayleigh distribution for modeling the speckle wavelet coefficients and the signal wavelet coefficients are approximated using the Gaussian distribution. Combining these as statistical priors, we have developed...
Truncated data problems are encountered in computed tomographic (CT) scanning scenarios where it is desirable to restrict the radiation dosage to a region-of-interest (ROI) of the object cross-section being imaged. In this paper, we propose a new image reconstruction technique for handling truncated data based on projection data extrapolation using a non-stationary time-series modeling approach. A...
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