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This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing...
We report the implementation of a fully on-chip, lensless, sub-pixel resolving optofluidic microscope (SROFM) based on the super resolution algorithm. The device utilizes microfluidic flow to deliver specimens directly across a complementary metal oxide semiconductor (CMOS) sensor to generate a sequence of low-resolution (LR) projection images, where resolution is limited by the sensor's pixel size...
Time sequences of 3D images of cerebral and other vasculature blood flow during surgery and other medical procedures allow enhanced visual feedback. The visual feedback constitutes an enhancement over the existing 2D time series of X-ray projections as it facilitates the detection and observation of pathological abnormalities such as stenoses, aneurysms, and blood clots. An algorithm that outputs...
Arterial spin labeling (ASL) allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. ASL has been used to study cerebrovascular diseases, brain tumors and neurodegenerative disorders as well as for functional imaging. The use of a perfusion template could be of great interest to study inter-subject regional variation of perfusion...
Acute lymphoblastic leukemia (ALL) are a group of hematological neoplasia of childhood which is characterized by a large number of lymphoid blasts in the blood stream. ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3-7. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar...
Tracer kinetic modeling with dynamic positron emission tomography (PET) requires a plasma time-activity curve (PTAC) as an input function. Several image-derived input function (IDIF) methods that rely on drawing the region of interest (ROI) in large vascular structures have been proposed to overcome the problems caused by the invasive approach for obtaining the PTAC, especially for small-animal studies...
Acute lymphoblastic leukemia (ALL) is the most common hematological neoplasia of childhood and is characterized by uncontrolled growth of leukemic cells in bone marrow, lymphoid organs etc. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar signs by other disorders. Careful microscopic examination of...
Acute lymphoblastic leukemia (ALL) is an serious hematological neoplasia of childhood which is characterized by abnormal growth and development of immature white blood cells (lymphoblasts). ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3-7. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed...
Phase unwrapping is an important and challenging problem in phase contrast magnetic resonance imaging (PC-MRI). In this paper, we propose a new algorithm for phase unwrapping based on graph cuts. Our algorithm takes a patch-based approach which has the advantages of simplicity and robustness to phase noise. To make use of temporal information from the neighboring frames as well as spatial information...
Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks is the analyzing of white blood cells (WBC) where the WBC composition reveals important diagnostic information of a patient. This paper presents a two phase methodology in order to obtain a fully segmented abnormal white blood cell (blast) and nucleus in acute leukaemia...
Hematocytes image segmentation is a practice of computer medical detection which is based on the medical characteristics of blood cells, the Computer Graphics, and Image Segmentation. In this paper, we have proposed a new color components' computing method on different color spaces for image segmentation based on blood cells biology, image and color features. First, original image is changed between...
Automated cell counting is a required task which helps examiners in evaluating blood smears. A problem is that clumped cells usually appear in images with various degree of overlapping. This study presents a new method for effectively splitting clumped cells using value in distance transform of image to quickly detect central point. Additionally, a boundary-covering degree of each point is applied...
Analysis of microscopic images is used in many fields of technology and medicine. In some medical experiments, some drugs, with known effects in red blood cells (R.B. Cs) membranes, are used to find out their activity. In addition, different diseases affect the appearance of R.B. Cs and cause the malfunction of the internal organs. In this paper, Elliptocytes, Discocytes and Echinocytes, which are...
Serial arterial blood sampling is required to determine the input function (IF) in quantitative estimation of physiological parameters in dynamic positron emission tomography (PET) studies. However, blood sampling in PET studies is problematic, invasive and risky. Several approaches have been proposed to extract IF from images among them factor analysis of dynamic structures (FADS) and simultaneous...
This paper proposes a registration-based segmentation technique to fully automatically segment the left ventricle in cardiac cine magnetic resonance studies. We propose an inverse consistent deformable registration algorithm to recover one set of forward and backward deformation fields that allow us to access the deformation from any frame to any other frame in the cardiac sequence. Cardiac phases...
Catheter ablation is an increasingly important curative procedure for atrial fibrillation. Knowledge of the local wall thickness is essential to determine the proper ablation energy. This paper presents the first semi-automatic atrial wall thickness measurement method for ablation guidance. It includes both endocardial and epicardial atrial wall segmentation on CT image data. Segmentation is based...
The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obtained with myocardial perfusion MRI. Specifically, identifying tissue that is under-supplied with blood is important when choosing a suitable therapy for patients with coronary heart disease. Before an analysis can be carried out, the images must be registered to compensate for cardiac and respiratory...
Recently, arterio sclerosis obliterans (ASO) caused by the chronic ischemia of limbs increase remarkably. As one of the diagnosis methods of this disease, the image diagnosis such as MR image is used on medical fields. In this paper, we propose a method to develop medical diagnostic support system using fresh blood imaging (FBI) method, in which the structure of blood vessel regions in legs could...
Image segmentation of hematocyte is a practice of computer medical detection which is based on the medical characteristics of hematocyte, the Computer Graphics, and Image Segmentation. In this paper, we have proposed anew color components' exchanging method on different color spaces for image segmentation. First, extract the color components of the original image, then exchange the order of color...
The automated segmentation of the carotid artery wall from ultrasound images is required for an accurate measurement of the artery intima-media thickness. Segmentation accuracy of automated techniques is usually limited by noise and artifacts. In 2005, the authors developed a methodology called CULEX whose performance was noise sensitive. The final stage of CULEX segmentation was fuzzy clustering...
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