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With the increasing applications of Big Data analytics in medical image processing systems, there has been a growing need for quantitative medical image quality assessment techniques. Specifically for computed tomography (CT) images, quantitative image assessment can allow for benchmarking image processing methods and optimization of image acquisition parameters. In this work, large volumes of CT...
Reversible data hiding is a kind of information hiding technique that can exactly recover the original image through data hiding and extraction. It can be potentially used in the medical and military applications. In the literature, by using the maximum inter-class square error to separate the background and foreground, the principal gray-scale values in the segmented background can be identified...
The anatomical structures that appear in magnetic resonance (MR) or computed tomography (CT) scans are extracted or segmented from the image for use in surgical planning, navigation, simulation, diagnosis, and therapy evaluation. The paper presents software for segmentation in sequences of medical images via active contours and its graphic user interface (GUI). It works in the MATLAB environment and...
This paper discusses about a method adopted to develop a computer-aided diagnostic system to achieve automatic detection and classification of liver lesions. The procedure followed consists of first segmenting the CT scan image so as to accurately extract out the lesion region alone from the rest of the abdominal details. This Region Of Interest(ROI) is now used up for extracting out first order and...
Computer Aided Diagnosis (CAD) acts as a primary tool for the radiologists to have a second opinion for identifying whether the lung is affected by any abnormalities or not. Lung image segmentation and classification plays a vital role in CAD system. Despite many ongoing researches, lung image segmentation has still scope for improvement in terms of accuracy and automation. The proposed blob based...
In some industrial CT applications, the inspected object is invisible or unknown. It is difficult to always move the object in a uniform speed through the rotational gantry composed with an X-ray source and a detector, such as seismic and oil exploration and so on. In this paper, we prove a generalized backprojection-filtration(BPF) formula within standard helix cone beam CT to get the sufficient...
MR images acquired from open magnetic resonance system have been applied to guide percutaneous puncture for ablation of liver tumors recently. However, the MR images do not always show the tumors clearly because of the lower magnetic field (0.5T) and various different surgical and pathological conditions. In our study, we use preoperative CT images to assist locate tumors by registration. In our method,...
It is the key and difficult step to segment and extract suspected nodular lesions from CT images for lung cancer CAD system. A segmentation method is proposed based on 2-D OTSU optimized by genetic algorithm for regions of interest (ROI) in thoracic CT images in this paper. The chromosome is encoded in binaryzation by gray of original image, and the populations is produced randomly, then through operations...
A new algorithm (image registration and texture energy analysis - ITEAR), which can accurately identify the early stage tumor in CT images, is developed in this paper. The ITEAR algorithm aligns the corresponding PET and CT images by the mutual information registration method and applies the adaptive threshold segmentation algorithm to segmenting the region of interest (ROI) in PET images. Then, the...
In this paper, we introduced a novel Computer Aided Detection (CAD) system for colonic polyp detection in CT data. The CAD system extracts colon region from CT images using cellular neural network (CNN) which its parameters of A,B and I templates are optimized by genetic algorithm in order to improve segmentation performance. Region of interest (ROI) of all slices were combined together to acquire...
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