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Search Results: 1 - 10 of 22359 matches for " Samir Kumar "
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Hereditary and Sporadic Forms of Aβ-Cerebrovascular Amyloidosis and Relevant Transgenic Mouse Models
Samir Kumar-Singh
International Journal of Molecular Sciences , 2009, DOI: 10.3390/ijms10041872
Abstract: Cerebral amyloid angiopathy (CAA) refers to the specific deposition of amyloid fibrils in the leptomeningeal and cerebral blood vessel walls, often causing secondary vascular degenerative changes. Although many kinds of peptides are known to be deposited as vascular amyloid, amyloid-β (Aβ)-CAA is the most common type associated with normal aging, sporadic CAA, Alzheimer’s disease (AD) and Down’s syndrome. Moreover, Aβ-CAA is also associated with rare hereditary cerebrovascular amyloidosis due to mutations within the Aβ domain of the amyloid precursor protein (APP) such as Dutch and Flemish APP mutations. Genetics and clinicopathological studies on these familial diseases as well as sporadic conditions have already shown that CAA not only causes haemorrhagic and ischemic strokes, but also leads to progressive dementia. Transgenic mouse models based on familial AD mutations have also successfully reproduced many of the features found in human disease, providing us with important insights into the pathogenesis of CAA. Importantly, such studies have pointed out that specific vastopic Aβ variants or an unaltered Aβ42/Aβ40 ratio favor vascular Aβ deposition over parenchymal plaques, but higher than critical levels of Aβ40 are also observed to be anti-amyloidogenic. These data would be important in the development of therapies targeting amyloid in vessels.
Formation of Homogeneous Blocks For Segmentation of Mammograms
Samir Kumar Bandyopadhyay
International Journal of Engineering Science and Technology , 2010,
Abstract: In the paper a method have been develop to make a supporting tool to easy and less time consuming of identification of abnormal masses in digital mammography images. The identification technique is used forformation of Homogeneous Blocks The type of masses, orientation of masses, shape and distribution of masses, size of masses, position of masses, density of masses, symmetry between two pair etc are clearly sited after proposed method is executed on raw mammogram for easy and early detection abnormality.
Pre-processing of Mammogram Images
Samir Kumar Bandyopadhyay
International Journal of Engineering Science and Technology , 2010,
Abstract: Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes critical especially if the diagnosis of remote radiologists is required. The aim of this study is to develop an automated system for assisting the analysis of digital mammograms. Computer image processing techniques will be applied to enhance images and this is followed by segmentation of the region of interest (ROI). Subsequently, the textural features will be extracted from the ROI. The texture features will be used to classify the ROIs as either masses or non-masses.
A Method for Lung Boundary Detection
Samir Kumar Bandyopadhyay
International Journal of Information and Communication Technology Research , 2012,
Abstract: In computerized analysis of chest radiographs is the detection of the lung field boundaries. Once the boundaries of the lung fields are identified, physiological measurements of the lung features are possible. The properties of the boundary are determined by edge detection along with suitable filter algorithms. The aim of proposed work is to develop an experimental system which segmented and analysis of the lung boundaries in chest X-ray images. This paper presents boundary detection of lung using algorithms and results obtained quite satisfactory. This is tried to make a sharp distinction between the lung region and the exterior of the lung.
An Approach for registration method to find corresponding mass lesions in temporal mammogram pairs
Prof. Samir Kumar Bandyopadhyay
International Journal of Computer Technology and Applications , 2010,
Abstract: Radiologists generally use multiple mammographic views to detect and characterize suspiciousregions. When radiologists discover a suspicious lesion in one view, they try to find a corresponding lesion in the other views. Views from different projections, typically cranio caudal (CC) and medio lateral oblique (MLO) views, allow for a better realization of the lesion. Most current computer aided detection (CAD) systems differ considerably from radiologists in the way they use multiple views. These systems do not combine information from available views but instead analyse each view separately. Given the positive effect of multiview systems on radiologists' performance we expect that fusion of information from different views will improve CAD systems as well. Such multi-view CAD programs require regional registration methods to find corresponding regions in all available views. In this paper we concentrate on developing such a method for corresponding mass lesions in prior and In other words, starting from a current image containing a mass lesion, the method aims at locating the same mass lesion in the prior image. The method was tested on a set of 412 cancer cases. In each case a malignant mass, architectural distortion or asymmetry was annotated. In 92% of these cases the candidate mass detections by CAD included the cancer regions in both views. It was found that in 82% of the cases a correct link between the true. Positive regions in both views could be established by our method.Key words: Multiple View, Computer-Aided Detection, masses, mammography
EFFECT OF SURFACE TREATMENT ON THE MECHANICAL PROPERTIES OF BAGASSE FIBER REINFORCED POLYMER COMPOSITE
Samir Kumar Acharya
BioResources , 2011,
Abstract: Bagasse is a by-product of the sugarcane milling process, and it also is an important fuel resource for that industry. In this study an attempt has been made to utilize this by-product to prepare a composite using epoxy resin. The fibers surface was modified by alkali treatment with 5% NaOH solution for 0, 2, 4 and 6 hrs. The effect of fiber surface modification on the mechanical properties such as flexural strength of the composites was investigated with the fibers as received from the milling process. It was found that alkali-treated bagasse/epoxy composites significantly improved the flexural strength of the composite. An SEM investigation also indicated that the surface modifications improved the fiber–matrix interaction.
Finding Bilateral Symmetry of the Human Brain from MRI
Prof. Samir Kumar Bandyopadhyay
Journal of Global Research in Computer Science , 2011,
Abstract: Various subjects that are paired usually are not identically the same, asymmetry is perfectly normal but sometimes asymmetry can be noticeable too much. Structural and functional asymmetry in the human brain and nervous system is reviewed in a historical perspective. Brain asymmetry is one of such examples, which is a difference in size or shape, or both. Asymmetry analysis of brain has great importance because it is not only indicator for brain cancer but also predict future potential risk for the same. In our work, we have concentrated to segment the anatomical regions of brain, isolate the two halves of brain and to investigate each half for the presence of asymmetry of anatomical regions in MRI.
IMAGE HIDING IN DNA SEQUENCE USING ARITHMETIC ENCODING
Prof. Samir Kumar Bandyopadhyay
Journal of Global Research in Computer Science , 2011,
Abstract: Recently, biological techniques become more and more popular, as they are applied to many kinds of applications, authentication protocols, biochemistry, and cryptography. One of the most interesting biology techniques is deoxyribo nucleic acid and using it in such domains. Hiding secret data in deoxyribo nucleic acid becomes an important and interesting research topic. Some researchers hide the secret data in transcribed deoxyribo nucleic acid, translated ribo nucleic acid regions, or active coding segments where it doesn't mention to modify the original sequence, but others hide data in non-transcribed deoxyribo nucleic acid, non-translated ribo nucleic acid regions, or active coding segments. Unfortunately, these schemes either alter the functionalities or modify the original deoxyribo nucleic acid sequences. DNA has the ability to store large amount of digital data. This paper presents a method to hide an image in DNA sequence using arithmetic encoding.
A Survey on Brain Image Segmentation Methods
Prof. Samir Kumar Bandyopadhyay
Journal of Global Research in Computer Science , 2011,
Abstract: For the past decade, many image segmentation techniques have been proposed. These segmentation techniques can be categorized into three classes, (1) characteristic feature thresholding or clustering, (2) edge detection, and (3) region extraction. This survey summarizes some of these techniques. In the area of biomedical image segmentation, most proposed techniques fall into the categories of characteristic feature thresholding or clustering and edge detection. We present current segmentation approaches are reviewed with an emphasis placed on revealing the advantages and disadvantages of these methods for medical imaging applications.
Edge Detection of Human Eye based on Homogeneity Analysis
Samir Kumar Bandyopadhyay
Journal of Global Research in Computer Science , 2011,
Abstract: Edge detection of eye is a pre-requisite stage for many applications such as iris recognition fatigue detection based on eye-blink count and eye-directed instruction control. This paper presents a method using image processing techniques to detect the edge of eyes in an image. Experiment result is presented and discussed at the end of this paper. Only gray levels are considered for the proposed method. The algorithms for edge detection of eye were assessed on 102 images from the Purdue database and on 897 images from a video sequence.
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