النشر العلمي

  • Sulieman M. S. Zobly and Yasser M. Kadah “Multiple Measurements Vectors Compressed Sensing for Doppler Ultrasound Signal Reconstruction

Compressed sensing (CS) is a novel framework for reconstruction images and signals. In this work we want to make use of the latest sampling theory multiple measurement vectors (MMV) compressed sensing model, to reconstruct the Doppler ultrasound signal. Compressed sensing theory states that it is possible to reconstruct images or signals from fewer numbers of measurements. In usual CS algorithms, the measurement matrix is vectors so the single measurement vectors (SMV) applied to generate a sparse solution. Instead of using the SMV model we want to make use of the MMV model to generate the sparse solution in this work. Doppler ultrasound is one of the most important imaging techniques. To acquire the images much data were needed, which cause increased in process time and other problems such as increasing heating per unit and increasing the amount of the data that needed for reconstruction. To overcome these problems we proposed data acquisition based on compressed sensing framework. The result shows that the Doppler signal can be reconstructed perfectly by using compressed sensing framework.

published in International Conference in Computing, Electronics and Electrical Engineering,

  • Sulieman M. S. Zobly and Yasser M. Kadah, “Orthogonal Matching Pursuit & Compressive Sampling Matching Pursuit for Doppler Ultrasound Signal Reconstruction

Doppler ultrasound is widely used diagnostic tool for measuring and detecting blood flow. To get a Doppler ultrasound spectrum image with a good quality, the clutter signals generated from stationary and slowly moving tissue must be removed completely. Without enough clutter rejection, low velocity blood flow cannot be measured, and estimates of higher velocities will have a large bias. Usually finite impulse response FIR, infinite impulse response IIR and polynomial regression PR filters were used for cluttering. In this paper we proposed a new clutter rejection based on principal component analysis (PCA) and independent component analysis (ICA). The proposed clutter rejection method presentation is quantified in simulated FR Doppler data beside real Doppler data. The result shows that the proposed method gives better clutter rejection

published in Cairo International Biomedical Engineering Conference, IEEE

  • Sulieman M. S. Zobly and Yasser M. Kadah, “Orthogonal Matching Pursuit & Compressive Sampling Matching Pursuit for Doppler Ultrasound Signal Reconstruction

In this work we want to make use of a novel framework of compressed sensing (CS) sampling theory to reconstruct the Doppler ultrasound signal. CS aim to reconstruct signals and images from significantly fewer measurements. Doppler ultrasound is one of the most non-invasive diagnostic techniques. The present data acquisition methods use much data to acquire the image, this cause in increasing the process time and heating. To overcome this limitation we propose a framework of CS. The result shows that the reconstruction performed perfectly with high quality in very short time, by using two CS reconstruction algorithms, orthogonal matching pursuit and compressive sampling matching pursuit algorithms. There is no significant difference in the quality of the resulting images reconstructed by using both reconstruction algorithms.

published in Cairo International Biomedical Engineering Conference, IEEE

  • Anti-fogging and anti-frosting behaviors of layer-by-layer assembled cellulose derivative thin film

Two cellulose derivatives, quaternized cellulose (QC) and carboxymethyl cellulose (CMC), were layerby-layer (LbL) assembled to prepare a thin film. QC was also LbL assembled with two synthetic

polyelectrolytes, poly(acrylic acid) (PAA) and poly(styrene sulfonate) (PSS), separately. The anti-fogging

and anti-frosting properties of the assembled films were studied. QC/CMC thin film exhibits anti-fogging

and anti-frosting behaviors, whereas QC/PAA and QC/PSS films do not have capacity for anti-fogging and

anti-frosting. The anti-fogging and anti-frosting properties of QC/CMC film are attributed to that water

molecules can be quickly adsorbed into the matrix of the film. The water adsorption of QC/CMC film was

illustrated by the optical thickness increment
 

published in Applied Surface Science

  • Sulieman M. S. Zobly and Yasser M. Kadah, “Novel Doppler Ultrasound Data acquisition Framework Based on Compressed Sensing

Doppler ultrasound is a widely used diagnostic tool for vascular problems. It has the ability to estimate the speed of blood flow and its distribution within a region of interest selected by the sonographer. Due to its present acquisition method, its use is limited by the bioeffects of ultrasound heating in addition to the complicated scanning methods for multiple simultaneous modes such as Duplex of Triplex imaging. In this work, we propose a new framework that alleviates such limitations through the use of compressed sensing theory to reduce the number of acquisitions and eliminating the sampling uniformity constraints. The new methodology is presented and successfully demonstrated on real Doppler ultrasound data

published in International Conference on: Advance in Biomedical Engineering, IEEE

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