Department of Biotechnology

National Brain Research Centre

Prasun Roy

V P Subramanyam Rallabandi

Subhadip Paul

Subramanyam V P Rallabandi

Subramanyam VP Rallabandi

This invention relates to a technique to enhance the clinical efficiency of radiotherapy and readiosurgery using perturbative beaming and tissue specific radiobiology, comprising, Considering the normal steady beam dose rate, then increasing the temporal stochastic fluctuation of the output intensity of the radiation beam from a medical linear accelerator or cobalt gamma knife beam setup, developing a computer-based methodology by considering the tumor specific radiobiology and magnitude of the tailor made dose rate fluctuation using an embedded system device consisting of requisite hardware and software as described herein.

Technique to enhance the clinical efficiency of radiotherapy and radiosurgery using perturbative beaming and tissue-specific radiobiology

A method for medical image enhancement based on image transform resonance. A novel method for Stochastic Resonance of medical image enhancement device based on the Integral Transform of the image, comprising: generating specific types of integral transforms like radon transform for CT, Fourier transform for MRI with image transform component; preparing stochastic perturbation waveform, with perturbator component performing the stochastic resonance on the image transform, with stochastic resonator component; characterizing the image enhancement factor of the SR-processed image with performance monitoring component; adjusting and controlling the bistability parameters of the double-well system that induces stochastic resonance with control component; arranging the provisional display of the array matrix of the SR-enhanced images, as the bistability parameters are varied with matrix display component; subjecting the final image to the step of display with final image display component.

Medical image enhancement technique based on image transform resonance

The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: &#x2014;obtaining a gray scale MRI image of the brain region; &#x2014;applying a contour edge-detecting algorithm to the image; &#x2014;employing a grid covering method for calculating a first order metric index of ventricular zone contour; &#x2014;superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; &#x2014;plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.

Ready automated screening, diagnosis and classification technique for alzheimer's disease using magnetic resonance imaging signal from ventricular zone contour of brain

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Gurgaon, India

Prasun Roy