Projects
Completed
Fall 2015
Biomedical
Project Title:

Super-Resolution in Computer Tomography (CT)

Project ID:

2627

Abstract:

Today, 3rd generation CTs can scan over 100 patients a day, but their radiation dose is relatively high. In this project the students will first study the basics of computer aided tomography, advanced mathematical imaging tools and cutting edge techniques in digital signal processing. The students will then research, design and implement a novel reconstruction algorithm for CT scans, which could allow faster scan times and reduced radiation dosage. The basis for this algorithm will implement principles from novel fields such as "Compressed Sensing" and "Super Resolution by Dictionary Learning".

Description:

PDR

Supervisor(s):

Student(s):

Gal Sadeh & Dmitry Lavrov

Semester:

Fall 2015

Project Title:

Minimal ECG data acquisition in cardiac patients Part: 2

Project ID:

2894

Abstract:

Improvement in the data acquisition stage can make a significant improvement/contribution in the setting of pace makers and long term sampling. One of the problems in pace makers is battery life time. Minimal acquisition with maximal accuracy has a lot of potential in this field. Integration of compressed sensing models into ECG acquisition can lead to accurate heart rhythm analysis using fewer samples allowing less memory and less battery usage. Most of the time, the pacemakers generate the simple R-R (inter bit) signal and record the entire ecg morphology only when tachycardia is detected. Sparse acquisition will allow R-R recognition for longer periods.

Description:

PDR

Supervisor(s):

Student(s):

Tamar Loeub & Jhonatan Rubin

Semester:

Fall 2015

Project Title:

Sub-Nyquist Tissue Doppler Ultrasound System

Project ID:

2903

Abstract:

Xampling and Compressed Sensing methods developed at SAMPL, allows the reconstruction of signals sampled at a sub-Nyquist rate with reduced number of pulses per velocity estimation, using priors on the sparsity of the signal. This reduced sapling is performed without compromising the same time temporal and spatial resolutions.
Xampling and Compressed Sensing methods developed at SAMPL, allows the reconstruction of signals sampled at a sub-Nyquist rate with reduced number of pulses per velocity estimation, using priors on the sparsity of the signal. This reduced sapling is performed without compromising the same time temporal and spatial resolutions.
Also, in this project you will become familiar with Xampling and Compressed Sensing theory and Matlab simulations. In addition, you will gain experience in implementing signal processing algorithms on real ultrasound systems.

Description:

PDR

Supervisor(s):

Alon Eilam

Student(s):

Ido Cohen & Shai Yagil

Semester:

Fall 2015

Project Title:

Push Button MRI

Project ID:

2880

Abstract:

This project is based on new methods for quantitative estimation of physical parameters of different tissues. From these values we will produce with a "push button" to obtain all different contrast images which are being used by doctors nowadays, while putting emphasis on maximal tissue intensity separation in the image.The project will be carried in collaboration with the RAMBAM hospital and it is a solution for a need that exists among doctors nowadays. A fun project which focuses on introducing students to the world of MRI and also to the fingerprinting approach (MRF) that provides quantitativephysical measurements of tissues and uses compressed sensing (CS) to save scan time.

Description:

PDR

Supervisor(s):

Student(s):

Reut Farkash & Marva Rom

Semester:

Fall 2015

Project Title:

Sub-Nyquist Vector Tissue Doppler Ultrasound System

Project ID:

2901

Abstract:

מוטיבציה ורקע לפרוייקט
אחד מהשימושים החשובים של מערכות אולטאסאונד בקליניקה הוא הערכת תפקוד הלב בעזרת מדידות דופלר. סריקות דופלר מאפשרות אבחון כמותי של מגוון מחלות כגון השפעות של אוטם שריר הלב (התקף לב) ופגמים בשסתומי הלב. הדמיית אולטרסאונד היא כלי איבחוני פופולרי מכיוון שהיא צורת הדמיה זולה יחסית שאינה כוללת קרינה מזיקה. לאחרונה פותחה במעבדת SAMPL שיטה למדידת אקו-דופלר מבוססת דגימה בתת-נייקוויסט המאפשרת כימות פעילות לבבית באזורים נרחבים של הלב בו זמנית.

כיום מערכות אולטרסאונד מסחריות מודדות את הטל תנועת הרקמה בכיוון האלומה המשודרת ולכן המדידות שהן מפיקות תלויות משתמש ואינן הדירות.
מטרת הפרוייקט
בפרוייקט זה נממש מערכת אקו-דופלר המשלבת שיטות מדידת דופלר חדשניות (מדידת וקטור דופלר) ומאפשרות מדידת תנועה אבסולוטית. המימוש ייעשה במישור הזמן ולאחר מכן במישור התדר.
לאחר המימוש בתדר וכחלק מפרויקט המשך נרצה לממש את שיטות המדידה הנ"ל בשילוב עם שיטתXAMPLING ו compressed senssing המאפשרות דגימה בתת נייקוויסט.

Description:

PDR

Supervisor(s):

Student(s):

Or Elezra & Ofir Maimon

Semester:

Fall 2015

Project Title:

Sub-Nyquist Ultrasound Doppler Imaging of Vascular Flow

Project ID:

2902

Abstract:

Doppler ultrasound is a non-invasive and safe modality that is used for the estimation of blood velocities by transmitting high-frequency sound waves (ultrasound) and analyzing the signals reflected from circulating red blood cells.
Doppler scans help diagnose many conditions, including: heart valve defects and congenital heart disease, artery occlusions and aneurysms.
Classic Doppler processing methods do not make use of the underlying structure in the reflected signals in order to reduce the sampling rate or improve the estimation quality.
Therefore, multitudes of ultrasound measurements are needed in order to produce reliable velocity estimation for each location and around each time point.

Project description:
In this project the efficient representation of ultrasound Doppler signals will be investigated with the application of sub-nyquist sampling.
Validation will be performed using numerical simulations, phantom scans and real Doppler ultrasound measurements.

Description:

PDR

Supervisor(s):

Student(s):

Semester:

Fall 2015

Project Title:

MRF Realization

Project ID:

2961

Abstract:

Magnetic Resonance Imaging (MRI) is the method of choice for diagnosis, evaluation and follow-up of brain clinical pathologies. However, the acquisition of a routine brain MRI requires an average of 50 minutes per examination. MRF is a new method for quantitative estimation of physical parameters of different tissues. In this project we will realized this method and operate it in a real scanner. Moreover, we will examined the optimal MRF sequence parameters and will reconstruct the data using the compressed sensing approach in order to improve significantly the algorithm that exist today. The project will be carried with the collaboration of Wizeman institute and the RAMBAM hospital, which will provide professional clinical and physical support.

An ambitious and fun project which focuses on introducing the world of MRI the fingerprinting approach (MRF) that provides quantitative physical measurements of tissues and uses compressed sensing (CS) to save scan time.

There is a possibility for a 2 semester project to those who will be interested.

Description:

PDR

Supervisor(s):

Student(s):

Matanya Stroh & Chechik Yonatan

Semester:

Fall 2015

Communication
Project Title:

Image deconvolution In fluorescence microscopy

Project ID:

2910

Abstract:

Super resolution fluorescence microscopy techniques are an ensemble of light-microscopy techniques which achieve spatial resolution beyond the limitations imposed by the diffraction of light. On the other hand, since its introduction in 1983, deconvolution microscopy has become a key processing tool for the visualization of cellular structures of fixed and living specimens in three dimensions and at sub-resolution scale. Deconvolution is also referred to as an inverse problem, since given the output of the system we aim at recovering the input to the system. In the proposed project we will survey and implement several deconvolution techniques over simulated and experimental data of fluorescence microscopy. These techniques will then be used as a preprocessing step towards a super-resolution imaging technique.

Description:

PDR

Supervisor(s):

Student(s):

Irina Akhvlediany

Semester:

Fall 2015

Project Title:

Increased sampling capacity in optical communication - Part 2

Project ID:

2904

Abstract:

In optical communication, signals are transmitted at a very high rate (here, we consider 20G) but only one bit per interval. A simple sampler can then be used that only needs one bit per interval. The question is whether we can use MWC ideas in order to allow for more bits. In the MWC each sampler works at a lower rate so it can afford more bits. Here, we will use the MWC at the overall Nyquist rate. The tradeoff though is that the sequences we use will now increase the dynamic range of the input signal to the sampler. So, we can increase the bits but we also increase the dynamic range so the question is if at the end we actually gain in terms of information bits.

The goal of this project is to determine whether we can achieve gain in term of the information bits using the MWC.

Description:

PDR

Supervisor(s):

Student(s):

Semester:

Fall 2015

Optics
Project Title:

Super-Resolution Optical Fluctuation Imaging Simulator

Project ID:

2592

Abstract:

The proposed project aims at developing a high-fidelity, robust 2D (and later on 3D) simulator for the generation of SOFI sequences and at implementing several super-resolution post processing techniques such as STORM and PALM.
The simulator should be simple to handle by the researcher from one hand and from the other be able to supply the researcher with enough degrees of freedom in order to simulate fluctuating sequences under various and changing conditions.

Description:

PDR

Supervisor(s):

Student(s):

Mohanad Sayed-Ahmed and Ez Abu-Hussein

Semester:

Fall 2015

Radar
Project Title:

Toward Sub-Nyquist MIMO RADAR Prototype

Project ID:

2628

Abstract:

The goal of this project is to implement Sub-Nyquist MIMO radar system that breaks the traditional link between sampling rate and resolution while reducing the number of elements as well as the sampling rate.
Our algorithm takes advantage of the sparsity of the reflected signal using smart samples and thus significantly reduces the sampling rate in the temporal and spatial domain and violating the sacred Nyquist-rate.
The project includes end-to-end system development from the radar signal simulation through the sampling system to the processing unit implementation.

Description:

PDR

Supervisor(s):

Student(s):

Semester:

Fall 2015

Project Title:

Sub-Nyquist MIMO RADAR Prototype

Project ID:

2908

Abstract:

The goal of this project is to implement Sub-Nyquist MIMO radar system that breaks the traditional link between sampling rate and resolution while reducing the number of elements as well as the sampling rate.
Our algorithm takes advantage of the sparsity of the reflected signal using smart samples and thus significantly reduces the sampling rate in the temporal and spatial domain and violating the sacred Nyquist-rate.
The project includes system development from the radar signal simulation through the sampling system to the processing unit implementation.

Description:

PDR

Supervisor(s):

Student(s):

Semester:

Fall 2015

Project Title:

Sub-Nyquist Pulse Repetition Frequency for SAR imaging

Project ID:

2955

Abstract:


The increasing demand for wide coverage high resolution Synthetic Aperture Radar imagery can be found in various applications. However, these two requirements are contradicting each other. A high pulse repetition frequency (PRF) is needed to sample the Doppler spectrum according to the Nyquist criterion. In contrast, to unambiguously image a wide swath of width on ground, a large interval between subsequent pulses is favorable what corresponds to a low PRF.

This inherent limitation of SAR brings out the challenge of produce images with wide-continuous coverage without degrading the resolution.

The goal of the project is to develop a new algorithm which allows to reduce the PRF under the Nyquist rate which is dictated by the Doppler spectrum. The scheme should allow to construct an image that will be comparable to one achieved by standard SAR imaging techniques with sufficient number of pulses. It will enable a wide-continuous coverage of the terrain in a high resolution.


Description:

PDR

Supervisor(s):

Student(s):

Semester:

Fall 2015

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