EE Seminar: Breaking the spatial resolution limit of magnetic resonance imaging

04 בדצמבר 2017, 15:00 
חדר 011, בניין כיתות-חשמל  

(The talk will be given in English)

 

Speaker:     Dr. Dan Benjamini
                   Section on Quantitative Imaging and Tissue Sciences

National Institutes of Health, MD, USA

 

Monday, December 4th, 2017
15:00 - 16:00

Room 011, Kitot Bldg., Faculty of Engineering

 

Breaking the spatial resolution limit of magnetic resonance imaging

 

Abstract

Microscopic scale changes in brain tissue take place during normal and abnormal brain devel-opment, and following mild to severe traumatic brain injury (TBI). In addition, brain tissue is heterogeneous in nature; an imaging volume will contain an ensemble of different cells and ex-tracellular matrix components. At the microscopic level, these components would vastly differ in their molecular composition, as well as in their microstructure. As a result, the water that resides within the tissue will also interact with different chemical and physical microenviron-ments. By probing these water interactions using magnetic resonance imaging (MRI) one can, theoretically, overcome the limited spatial resolution (∼ 1mm3) and noninvasively detect and distinguish between the different microenvironments within a voxel. However, to date, com-putational instabilities and vast data requirements, leading to clinically infeasible scan times, have mostly relegated these type of measurements to nuclear magnetic resonance (NMR) ap-plications, and prevented them from being widely and successfully used in conjunction with imaging.

 

I have recently developed a novel experimental design, data acquisition, and signal processing framework, termed MADCO, which allows to combine various spectroscopic NMR experiments with imaging in reasonable scanning times and with excellent prospects for clinical applications. Using these tools one can measure, map, and render 3D images of the dynamics of water protons in a model-free and direct manner, making no assumptions about the underlying microstructure of the tissue. Here I will present two new, and complemen-tary, MADCO-based MR imaging framework: (1) Magnetic resonance microdynamic imaging (MRMI), which permits the simultaneous noninvasive and model-free quantification of the volume fraction of multiple subcellular, cellular, and interstitial tissue components within a voxel (e.g., axons, neurons, glia, interstitial space, and myelin in brain tissue). (2) Acceler-ated diffusion exchange spectroscopic imaging (ADEXSI), which is able to noninvasively map dynamic migration of water from one microenvironment to another (e.g., molecular exchange rate of water between intra- and extracellular spaces).

 

Apart from its known biological and clinical applications, MR is routinely used by chemists and biochemists to quantitatively describe materials with sub-molecular resolution; it is used by physicists to quantify flow and velocity in microscopic capillaries to measure mass transport; and it is used by geologists as logging tools for in situ oil, gas, and water underground reservoir evaluation. Integrating, migrating, and translating these approaches and methods from a broad range of scientific fields is what I believe can help us to better understand such a complex system as the human brain.

סמינר מחלקתי בהנדסה ביו רפואית -הרצאת אורח של פרופ' יוסי מנדל

19 בנובמבר 2017, 14:00 
 
ללא תשלום
סמינר מחלקתי בהנדסה ביו רפואית -הרצאת אורח של פרופ' יוסי מנדל

Hybrid Retinal Prosthesis: High-Resolution Electrode Array Integrated with Neurons for Restoration of Sight
Yossi Mandel, MD, PhD
Ophthalmic Science and Engineering Lab
Faculty of Life Sciences, School of Optometry and Visual Science and Institute for Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan, Israel. 

Bio
Dr. Yossi Mandel is an assistant Professor in the School of Optometry and Visual Science and Institute for Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Israel. He is a medical doctor and ophthalmic surgeon and holds a PhD in bioengineering from the Hebrew University, Jerusalem. He did his post-doc with Daniel Palanker at Stanford University and he is now heading the Ophthalmic Science and Engineering Lab at Bar-Ilan University. His research is focused on various ophthalmic technologies aimed at restoration of sight, such as retinal prosthesis, stem cell and combination of these modalities.

Abstract
Vision restoration in patients with outer retinal degenerative diseases, such as Age-related Macular Degeneration and Retinitis Pigmentosa can be achieved by bypassing the degenerated photoreceptors and the electrical stimulation of the relatively well-preserved inner retina through electrode implants. Although current retinal prostheses have been shown to provide useful vision in blind patients, the obtained visual acuity and quality are still relatively low. Network mediated, rather than direct ganglion cell, activation can potentially facilitate the utilization of the complex computational processes performed by the inner retinal circuits. However, inherent limitations of current retinal prosthetic technologies, make it very challenging to mimic natural vision for better restoration of sight.
Firstly, increasing the electrode density for achieving high visual acuity is limited by the distance between the electrodes and the target neurons, which is currently a few tens to hundreds of microns. Secondly, the high electrode-neural distance results in relatively large activation charge thresholds, which raises the need for a pulsed as opposed to continuous current injection. Thus, the bipolar cells are operated in a pulsed rather than a graded potential fashion which provides the natural visual system with its unrivalled dynamic range and sensitivity. More importantly, the direct electrical stimulation of the bipolar cells fails to preserve selectivity of the specific retinal circuitry (such as ON and OFF pathways), resulting in distorted information being delivered to the brain.

We propose a paradigm shift toward sight restoration with a hybrid retinal prosthesis aimed at overcoming the aforementioned limitations by better mimicking natural vision. The hybrid implant is composed of a high-density electrode array (pixel distance down to the cellular size of 10- 15µm), where each individual electrode is coupled with a glutamatergic neuron to create a tight neuron-electrode coupling.  Following implantation of the hybrid prosthesis, the

glutamatergic neurons integrate and synapse with the host retinal circuits. Patterned electrical stimulation of these glutamatergic neurons by the electrodes modulates glutamate release onto the synapse with the host bipolar cells after which the remaining retinal circuitry is activated in an identical manner to natural vision. The ultimate electrode-neurons proximity and the low charge neural activation threshold allow for the significant reduction in electrode dimensions and an increase in pixel density as well as the continuous graded potential activation, thus mimicking the graded potential fashion of the bipolar and photoreceptor cells. Moreover, the indirect activation of the host retina by glutamatergic neurons (rather than direct electrical activation), can potentially preserve the natural visual circuits (e.g. ON and OFF).
In this talk I will present our results with generation of photoreceptor precursors from hESC. I will present the functional characterization of these cells by path-clamp and calcium imaging techniques, which demonstrated that the intracellular calcium of the cells can be electrically modified. I will further discuss the many challenges and approaches taken in device fabrication and tissue engineering toward the development of hybrid retinal prosthesis.
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ההרצאה תתקיים ביום ראשון 19.11.17, בשעה 14:00
בחדר 315, הבניין הרב תחומי, אוניברסיטת תל אביב

EE Seminar: Inverse Problems and Unsupervised Learning with applications to Cryo-Electron Microscopy (cryo-EM)

03 בדצמבר 2017, 15:00 
חדר 011, בניין כיתות-חשמל  

(The talk will be given in English)

 

Speaker:  Dr. Roy Lederman
                   Applied & Computational Mathematics, Princeton University

 

Sunday, December 3rd, 2017
15:00 - 16:00

Room 011, Kitot Bldg., Faculty of Engineering

 

Inverse Problems and Unsupervised Learning with applications to Cryo-Electron Microscopy (cryo-EM)

 

Abstract

 

Cryo-EM is an imaging technology that is revolutionizing structural biology; the Nobel Prize in Chemistry 2017 was recently awarded to Jacques Dubochet, Joachim Frank and Richard Henderson “for developing cryo-electron microscopy for the high-resolution structure determination of biomolecules in solution".

Cryo-electron microscopes produce a large number of very noisy two-dimensional projection images of individual frozen molecules. Unlike related methods, such as computed tomography (CT), the viewing direction of each image is unknown. The unknown directions, together with extreme levels of noise and additional technical factors, make the determination of the structure of molecules challenging.

While other methods for structure determination, such as x-ray crystallography and nuclear magnetic resonance (NMR), measure ensembles of molecules together, cryo-EM produces measurements of individual molecules. Therefore, cryo-EM could potentially be used to study mixtures of different conformations of molecules. Indeed, current algorithms have been very successful at analyzing homogeneous samples, and can recover some distinct conformations mixed in solutions, but, the determination of multiple conformations, and in particular, continuums of similar conformations (continuous heterogeneity), remains one of the open problems in cryo-EM.

I will discuss a one-dimensional discrete model problem, Heterogeneous Multireference Alignment, which captures many of the properties of the cryo-EM problem. I will then discuss different components which we are introducing in order to address the problem of continuous heterogeneity in cryo-EM: 1. “hyper-molecules,” the first mathematical formulation of truly continuously heterogeneous molecules, 2. The optimal representation of objects that are highly concentrated in both the spatial domain and the frequency domain using high-dimensional Prolate spheroidal functions, and 3. Bayesian algorithms for inverse problems with an unsupervised-learning component for recovering such hyper-molecules in cryo-EM.

 

Short Bio

Roy Lederman is a postdoc at the Program in Applied and Computational Mathematics at Princeton University, working with Amit Singer. Before joining Princeton, he was a postdoc at Yale University, where he had completed his PhD in applied mathematics, working with Vladimir Rokhlin and Ronald Coifman. Roy holds a BSc in Electrical Engineering and a BSc in Physics from Tel Aviv University. 

EE Seminar: Simplified End-to-End MMI Training and Voting for ASR

22 בנובמבר 2017, 15:00 
חדר 011, בניין כיתות-חשמל  

Speaker: Lior Fritz,

M.Sc. student under the supervision of Prof. David Burshtein

 

Wednesday, November 22nd, 2017 at 15:00

Room 011, Kitot Bldg., Faculty of Engineering

 

 

Simplified End-to-End MMI Training and Voting for ASR

 

Abstract

 

A simplified speech recognition system that uses the maximum mutual information (MMI) criterion is considered. End-to-end training using gradient descent is suggested, similarly to the training of connectionist temporal classification (CTC). We use an MMI criterion with a simple language model in the training stage, and a standard HMM decoder. Our method compares favorably to CTC in terms of performance, robustness, decoding time, disk footprint and quality of alignments. The good alignments enable the use of a straightforward ensemble method, obtained by simply averaging the predictions of several neural network models, that were trained separately end-to-end. The ensemble method yields a considerable reduction in the word error rate.

כך הכריז מגזין TheMarker לגבי ד"ר בריאן רוזן

15 נובמבר 2017
ד"ר בריאן רוזן

הפקולטה להנדסה גאה לבשר כי ד"ר בריאן רוזן, חוקר בפקולטה נבחר ע"י מגזין TheMarker לאחד מ-40 הצעירים המבטיחים מתחת לגיל 40 של מגזין!

ד"ר רוזן, רק בן 31 ובעל רקורד עשיר, הקים את המעבדה לחומרי אנרגיה בפקולטה להנדסה, בעל תואר שני ודוקטורט בהנדסת כימיה מאוניברסיטת אילינוי ואת הפוסט־דוקטורט עשה בפקולטה להנדסה אוניברסיטת תל אביב. מחקריו עשויים לשמש לפיתוח סוגים שונים של אנרגיה חלופית ירוקה.

 

לכתבה המלאה במגזין TheMarker

 

School of Mechanical Engineering Prof. Alexander Korobkin

27 בדצמבר 2017, 14:00 - 15:00 
 
0
School of Mechanical Engineering Prof. Alexander Korobkin

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, December 27, 2017 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

 

Hydroelastic waves and their interaction with structures

 

Prof. Alexander Korobkin

(University of East Anglia, UK)

Co-author: S. Malenica (BV), T. Khabakhpasheva (Lavrentyev Institute of Hydrodynamics)

 

 

Linear problems of hydroelastic wave diffraction by structures with vertical walls are studied for a circular cylinder frozen in ice cover of constant thickness and infinite extent. The water depth is constant. The ice plate is modelled by a thin elastic plate clamped to the surface of the cylinder. The cylinder is mounted at the sea bottom. One-dimensional incident hydroelastic wave of small amplitude propagates towards the cylinder and is diffracted on the cylinder.  Deflection of the ice plate and the bending stresses in it are determined by two methods: (a) using the integral Weber transform in radial direction, (b) using the vertical modes for the fluid of constant depth with the rigid bottom and elastic upper boundary. The solution by the second method is straightforward but we cannot prove that the solution is complete because the properties of the vertical modes are not known. The solution by the Weber transform is more complicated but this solution is unique. We will show that these two solutions are identical. This result justifies the method of the vertical modes in the hydroelastic wave diffraction problems. For a circular cylinder the vertical-mode solution can be also justified by substitution. Different conditions at the contact line between the cylinder and the ice sheet are considered. The wave diffraction problem for broken ice is also considered. It is shown how the problem can be generalised to non-circular cylinders and interaction of several cylinders in ice.

 

 

 

 

 

School of Mechanical Engineering Prof. L. Doctors

20 בדצמבר 2017, 14:00 - 15:00 
 
0
School of Mechanical Engineering Prof. L. Doctors

School of Mechanical Engineering Prof. Zohar Yosibash

27 בנובמבר 2017, 14:00 - 15:00 
 
0
School of Mechanical Engineering Prof. Zohar Yosibash

 

 

School of Mechanical Engineering Seminar
Monday, November 27, 2017 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

An afternoon talk on femurs, arteries and high order finite element methods

Prof. Zohar Yosibash

School of Mechanical Engineering, Tel Aviv University

Predicting the mechanical response of human femurs and arteries is of major clinical importanceare for diagnostic purposes as well as for patient-specific treatment. Such prediction capabilities are being described which involve the combination of high order finite element (FE) methods, medical imaging and experimental observations.

Our research on human femurs will first be addressed, where we use quantitative computerized tomography (qCT scans) that enables a computer realization of subject-specific bone models. Combining qCT scans with high order FE simulations and a large set of experiments provide the opportunity to accurately simulate patient-specific femur’s response, allowing orthopedic surgeons to plan a proper patient specific treatment. Examples of the use of our methods in clinical practice for treatment of metastatic bone tumors will be provided.

If time allows, experimental and numerical methods for the analysis of human arteries will be addressed. Arteries are complex anisotropic structures undergoing large deformations and strains and are subject to active response due to contraction of smooth muscle cells. Attempts to properly describe their response will be described.

About the Lecturer

Prof. Yosibash received his B.Sc. in Aeronautical Engineering from the Technion (87), his M.Sc. in Applied Mathematics from Tel-Aviv Unviersity (92) and D.Sc. in Mechanical Engineering from Washington University, St. Louis, USA (94). He joined Ben-Gurion University in 1995 and since 2008 he is a full professor of mechanical engineering. He has been a visiting professor at Brown Univ from 2002-2007, and at the Technical Univ of Munich during 2010-2011. He received the Toronto prize for excellence in research at BGU in 2009. Prof. Yosibash was a Hans Fischer Senior Fellow at the Institute for Advanced Study at the Technical University of Munich (2009-2012) and serves as the scientific ambassador since 2013.  Prof. Yosibash joined the School of Mechanical Engineering at TAU in Oct 2017. He is the head of the lab for computational mechanics and experimental biomechanics at TAU and since 2015 serves as the president of the Israel Association for Computational Methods in Mechanics.

של בוגרי הפקולטה ומוסמכיה

טקסי הענקת תארים של בוגרי הפקולטה ומוסמכיה

טקסי הענקת תארים של בוגרי הפקולטה ומוסמכיה, לשנת הלימודים תש"ף יערכו במועדים הבאים:

 

15.6.2020 – טקס הענקת תארים לבוגרי ומוסמכי ביה"ס להנדסת חשמל

 

16.6.2020 – טקס העקת תארים לבוגרי ומוסמכי ביה"ס להנדסה מכנית, התכנית להנדסת סביבה, המחלקה להנדסה ביו-רפואית, המחלקה להנדסת תעשייה, המחלקה למדע והנדסה של חומרים

 

בטקסים אלה יהיו זכאים לקבל את התואר תלמידים אשר סיימו את לימודיהם ועמדו בכל החובות בשנה החולפת או שיסיימו את לימודיהם במהלך סמסטר א' תש"ף.

 

תלמיד המבקש להשתתף בטקס הענקת תארים זה, חייב לסיים את כל חובותיו ולהיות זכאי לתואר לא יאוחר מה-10.3.2020

לאחר תאריך זה נסגרת רשימת מקבלי התארים לשנה זו

.

סמינר מחלקתי אלקטרוניקה פיזיקאלית : Nuno Borges Carvalho

16 בנובמבר 2017, 15:00 - 16:00 
פקולטה להנדסה, ביניין כיתות, חדר 011  
סמינר מחלקתי אלקטרוניקה פיזיקאלית : Nuno Borges Carvalho

You are invited to attend a lecture

Higher Order Modulation Backscatter Combined with WPT as a Solution for IoT Development

:By

Nuno Borges Carvalho

Professor Catedrático, Dep. Electronica, Telecomunicacoes e Informatica

Instituto de Telecomunicacoes, Universidade de Aveiro

Aveiro,  Portugal

 

Abstract

The Internet-of-Things (IoT) vision calls for thousands interconnected devices in wearables, vehicles, buildings, using a multitude of sensors to provide us with useful information.

Backscatter communication provides an enabling technology to address the needs of IoT, due to the simplicity of the tag circuit and the ability to minimize the usage of batteries or even completely eliminate them taking advantage of wireless power transmission as well as energy harvesting. This talk presents the latest advances in backscatter communication technology, covering a wide range of topics, focusing on the combination of modulation constellation diagrams with the Smith chart.

 

On Thursday, November 16, 2017, 15:00

Room 011, Kitot building

עמודים

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