Vibhakar Shrimali

• PhD
• Professor (Full) at GB Pant Govt. Engineering College Okhla Delhi

A novel path protection scheme is being proposed in this research paper. The main focus in this research paper is to avoid equipment redundancy, increasing channel utilization and bandwidth of the network. The proposed architecture proves to be a better solution as compared to conventional schemes. As customer needs resiliency and reliability, fast...

This chapter proposes an approach of neural modeling for the diagnosis of fetus abnormality using ultrasound (US) images. The proposed method is a hybrid approach of image processing methods and artificial neural network as a classifier to extract fetus abnormality. In the first step, 50 US images in the DICOM format are taken from the radiologist,...

Cancer is a very common disease caused by mutation in DNA of cells and arises everywhere in the world. According to American Cancer Society, vast number of new cancer cases are predicted which are increasing every year. So, the early detection of brain tumor may decline the death percentage, and it would be helpful for the cancer specialist to cure...

Accurate manual detection of brain tumor by a team of radiologists may be a long and tedious process, and further rely on their skills in the subject. Nowadays various medical imaging modalities are extensively used to minimize the above complexities and enable the patients to live a long and healthy life. This paper mainly focuses on the suspected...

Diagnosis of tumor at its early stage is the most challenging task for its treatment in the area of neurology. As, brain tumor is the most common problem in the world, so tremendous research is being carried out to find out the cancer during its onset stages. The task of diagnosis as well as its automation has been extremely difficult using convent...

The problem of estimating the statistics of the distributed parameters of a transmission line which are random functions of time and spatial location is addressed in this paper. The main idea is to transform the spatial–temporal PDE (partial differential equation) problem into a purely temporal problem using spatial test functions and then apply fi...

A computerized system can improve the disease identifying abilities of doctor and also reduce the time needed for the identification and decision-making in healthcare. Gliomas are the brain tumors that can be labeled as Benign (non- cancerous) or Malignant (cancerous) tumor. Hence, the different stages of the tumor are extremely important for ident...

This paper presents an approach of neural modeling for the diagnosis of fetus abnormality using ultrasound (US) images. The proposed algorithm is a hybrid approach wherein image processing methods have been used for preprocessing the image data, and an artificial neural network has been used as a classifier to extract fetus abnormality. Initially,...

Ultrasound imaging is one of the safest and most effective method generally used for the diagnosis of fetal growth. The precise assessment of fetal growth at the time of pregnancy is tough task but ultrasound imaging have improved this vital aspect of Obstetrics and Gynecology. In this paper performance of different learning algorithms of Feed forw...

In this paper, ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency are briefly reviewed. Ultrasound medical images can easily identify the Fetus using segmentation techniques and calculate fetal parameters. It can timely find the fetal abnormality so that necessary acti...

This study describes the effect of hysteresis on the generation of the higher harmonics in the line voltage and current in a non-uniform transmission line when we include a quadratic non-linear term having memory to account for the hysteresis effect in the inductance part of line. The simulational analysis using MATLAB is presented which works with...

This paper aims at first deriving the general forms of the electromagnetic vector and scalar potentials inside a cylindrical wave-guide by placing a 3D-charged quantum oscillator within the waveguide. The interaction Hamiltonian between the oscillator and the e-m field is derived. We then use this interaction Hamiltonian to calculate the transition...

The field within a rectangular waveguide is associated with an electromagnetic four-potential which is used to excite a 3-dimensional (3D) quantum harmonic oscillator/atom within the guide and from the transition probabilities of the oscillators/atoms within the guide, we estimate the mode that has been excited as well as dimension of the guide. Fi...

In present scenario women's are suffering from thyroid, diabetes and high blood pressure and therefore early detection and diagnosis of fetal abnormality can save lives and reduce cost of treatment. In this paper we propose an artificial neural network (ANN) based method for the detection of fetal abnormality in 2-D ultrasound images of 14–40 weeks...

In this paper we derive a non-linear polarization electric field relationship in a dielectric by considering harmonics binding of the electrons to its nuclei. We apply this theory to a transmission line to model the non-linear, inhomogeneous frequency-dependent capacitance of the line and approximate an expression for the line current when the line...

Ultrasonographic foetal biometry is the most widespread method used to establish gestational age and monitor its growth. In this paper, a method for automatic measurement of G.Sac diameter has been presented. The classical segmentation methods failed completely or require post-processing step to remove invalid object boundaries in the segmentation...

The Ultrasonography is considered to be one of the most powerful techniques for imaging organs for an obstetrician and gynecologist. Previously one of the authors has been calculated the gestational age of fetus. In this paper a method for the automatic measurement of fetal weight which is very important factor in context of fetal abnormality has b...

Digital image plays a vital role in the early detection of cancers, such as prostate cancer, breast cancer, lungs cancer, cervical cancer. Ultrasound imaging method is also suitable for early detection of the abnormality of fetus. The accurate detection of region of interest in ultrasound image is crucial. Since the result of reflection, refraction...

This is a preliminary study and the objective of this study has been to compare the performance of some of the -primitive and fundamentally different post acquisition image enhancement algorithms as applied to ultrasound (US) liver images. Such a comparison would help to decide as to which algorithm could be useful for clinicians, and in evaluating...

Currently, radiologists indicate the femur endpoints with an interactive marker device; however, these measurements are subjective and have proved to be inconsistent. The main objective of this work is to obtain a time-efficient morphology-based algorithm to recognize femur contour in fetal ultrasound images, refine its shape for automatic length m...

This paper investigates the use of morphology-based nonlinear filters, and performs deterministic and statistical analysis of the linear combinations of the filters for the image quality enhancement of B-mode ultrasound images. The fact that the structuring element shape greatly influences the output of the filter, is one of the most important feat...

Though the classical image-segmentation techniques have demonstrated their capability in various -applications, their performance degrades severely when they are applied to segment the still Ultrasound (US) images owing to the speckle, tissue related textures, and the artefacts resulting from the ultrasonic imaging process. Although these three typ...

This paper presents a qualitative evaluation of three fundamentally different filtering algorithms for the improvement of low Signal-to-Noise Ratio (SNR), inherent in ultrasound liver images. The implemented and assessed algorithms include Adaptive Weighted Median Filter (AWMF), Aggressive Region Growing Filter (ARGF) and the Wavelet Domain Filter....

This paper presents a qualitative evaluation of three fundamentally different filtering algorithms for the improvement of low Signal-to-Noise Ratio (SNR), inherent in ultrasound liver images. The implemented and assessed algorithms include Adaptive Weighted Median Filter (AWMF), Aggressive Region Growing Filter (ARGF) and the Wavelet Domain Filter....