Jonathan Hedstrom PhD final defense 3/24

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

Jonathan Hedstrom

Advisor: Behrouz Farhang

 

 

ACHIEVING NEAR MAP PERFORMANCE WITH AN EXCITED MARKOV CHAIN MONTE CARLO MIMO DETECTOR

 

 

The continuous grow of wireless communication use has largely exhausted the limited spectrum available. Methods to improve spectral efficiency are in high demand and will continue to be for the foreseeable future. Several technologies have the potential to make large improvements to spectral efficiency and the total capacity of networks including massive multiple-input multiple-output (MIMO), cognitive radio, and spatial-multiplexing MIMO. Of these, spatial-multiplexing MIMO has the largest near term potential as it has already been adopted in the WiFi, WiMAX, and LTE standards. Although transmitting independent MIMO streams is cheap and easy, with a mere linear increase in cost with streams, receiving MIMO is difficult with the optimal methods having exponentially increasing cost and power consumption. Suboptimal MIMO detectors such as K-Best have a drastically reduced complexity compared to optimal methods but still have an undesirable exponentially increasing cost with data-rate. The Markov Chain Monte Carlo (MCMC) detector has been proposed as a near-optimal method with polynomial cost, but it has a history of unusual performance issues which have hindered its adoption.

 

In this defense, we will introduce a revised bitwise MCMC MIMO detector. The new approach resolves the previously reported high SNR stalling problem of MCMC without the need for hybridization with another detector method or adding heuristic temperature scaling terms. The new excited MCMC (X-MCMC) detector is shown to have near maximum-a-posteriori (MAP) performance even with challenging, realistic, highly-correlated channels at the maximum MIMO sizes and modulation rates supported by the 802.11ac WiFi specification, 8×8 256 QAM.

 

 

 

 

Friday March 24, 2017

9:00 AM, Scott Seminar Room

Warnock Engineering Building (WEB) room 1460

The public is invited

 

 

Anh Luong PhD final defense 3/27

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

Anh Luong

Advisor: Neal Patwari

 

 

RF SENSING NETWORKS FOR LOCALIZATION, SYNCHRONIZATION, AND HEALTH MONITORING

 

 

Low-cost wireless embedded systems can make radio channel measurements for the purposes of radio localization, synchronization, and breathing monitoring. Most of those systems measure the radio channel via the received signal strength indicator (RSSI), which is widely available on inexpensive radio transceivers. However, the use of standard RSSI imposes multiple limitations on the accuracy and reliability of such systems; moreover, higher accuracy is only accessible with very high-cost systems, both in bandwidth and device costs. On the other hand, wireless devices also rely on synchronized notion of time to coordinate tasks (transmit, receive, sleep, etc.), especially in time-based localization systems. Existing solutions use multiple message exchanges to estimate time offset and clock skew, which further increases channel utilization.

 

In this dissertation, the design of the systems which use RSSI for device-free localization, device-based localization, and breathing monitoring applications are evaluated. Next, the design and evaluation of novel wireless embedded systems are introduced to enable more fine-grained radio signal measurements to the application. I design and study the effect of increasing the resolution of RSSI beyond the typical 1 dB step size, which is the current standard, with a couple of example applications: breathing monitoring and gesture recognition. Lastly, the \emph{Stitch} architecture is then proposed to allow the frequency and time synchronization of multiple nodes’ clocks. The prototype platform, Chronos, implements radio frequency synchronization (RFS), which accesses complex baseband samples from a low-power low-cost narrowband radio, estimates the carrier frequency offset, and iteratively drives the difference between two nodes’ main local oscillators (LO) to less than 3 parts per billion (ppb). An optimized time synchronization and ranging protocols (EffToF) is designed and implemented to achieve the same timing accuracy as the state-of-the-art but with 59\% less utilization of the UWB channel. Based on this dissertation, I could foresee Stitch and RFS to further improve the robustness of communications infrastructure to GPS jamming, allow exploration of applications such as distributed beamforming and MIMO, and enable new highly-synchronous wireless sensing and actuation systems.

 

 

 

Monday March 27, 2017

9:00 AM, ECE Conference Room

Merrill Engineering Building (MEB) room 2109

The public is invited

 

Spencer Shiveley MS thesis final defense

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

THESIS DEFENSE FOR THE DEGREE OF

MASTER OF SCIENCE

 

by

 

Spencer Shiveley

Advisor: Joel Harley

                                                                                                                                                           

 

Structural Health Monitoring With Large Data Sets

 

 

Structural health monitoring systems collect and process large volumes of data taken over many years of a structure’s service. Ultrasonic guided wave systems, in particular, must process an abundance of time-domain waveform data from widely distributed sensors. As few as 8 sensors that transmit and receive ultrasonic waves in pitch-catch mode every 10 minutes can accumulate over one terabyte of data in five to ten years. This number quickly rises as systems grow in size and complexity. As a result, computation and storage efficiency is extremely important, and current guided wave damage detection technologies cannot efficiently process such large data sets. This thesis starts with an introduction and survey of the structural health monitoring and data compression fields. A dimensionality reduction technique using random projections is proposed. The potential for dimensionality reduction method for improving computation time and storage efficiency is discussed. Random projections using sparse matrices is investigated as a tool in implementing a real-time structural health monitoring system with singular value decomposition as a damage detection method. At the end, future directions for research to make this technology more viable in application are suggested.

 

Thursday March 9, 2017

11:30 AM

ECE conference room

Merrill Engineering Building (MEB) room 3235

The public is invited

 

Jingru Zhou PhD final defense

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

Jingru Zhou

Advisor: V. John Mathews

 

 

 

Impact location estimation and damage classification for composite structures

 

 

Impacts that occur during service or maintenance are major causes of in-service damage of aerospace structures. Therefore, impact location estimation techniques and damage assessment are key components for structural health monitoring (SHM), especially for large and expensive structures such as aircraft and space vehicles. This dissertation focuses on composite structures, which typically are anisotropic and consequently have more complex wave propagation properties than isotropic structures. The SHM system employs a sensor array that acquires acoustic emission (AE) signals emitted from impact locations. In this dissertation, two impact location estimation algorithms that employ AE signals are proposed for anisotropic composite structures. The first one requires minimum velocity information, while the second one does not require any prior knowledge of the direction and location-dependent wave propagation properties within the structures and it is able to perform fast and accurate impact location estimation. The performance of the algorithms is first assessed by numerical simulations to understand the capabilities of the algorithms and to design the experimental setup. Experimental validation was also performed using different types of composite structures. The results demonstrated the ability of the methods to accurately estimate the impact location in composite structures without prior knowledge of the wave propagation properties of the structures.

 

The second goal of this dissertation is damage assessment from AE signals and focuses on damage classification. Specifically, the goal is to identify the most important features of the AE signals that identify impacts resulting in structural damage and also classify the damage as either delamination only or delamination plus fiber breakage. An efficient machine learning approach based on logistic regression is developed for this purpose. The experimental preparations which included composite structure selection, sensor selection, type of impacting experiments and inspection for damage were carefully and systematically set up for training and testing the method. The most useful features of the AE signals were obtained from the training data. Cross-validation experiments indicated that the methods identified impacts resulting in damage with 100% accuracy. Classification of damage type showed a 74% accuracy.

 

 

 

Wednesday January 4, 2017

1:30 PM, ECE conference room

Merrill Engineering Building (MEB) room 2109

The public is invited

 

Xiaojun Sun PhD final defense

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

 

Xiaojun Sun

Advisor: Priyank Kalla

 

 

Word-level Abstractions for Sequential Design Verification using Algebraic Geometry

 

 

Formal verification of hardware designs has become an essential component of the overall system design flow. The designs are generally modeled as finite state machines, on which property and equivalence checking problems are solved for verification. Reachability analysis forms the core of these techniques. However, increasing size and complexity of the circuits causes the state explosion problem. Abstraction is key to tackle the scalability challenge.

This dissertation presents new techniques for word-level abstraction with applications in sequential design verification. By bundling together k bit-level state-variables into one word-level constraint expression, the state-space is construed as solutions (variety) to a set of polynomial constraints (ideal), modeled over the finite (Galois) field of 2^k elements. Subsequently, techniques from algebraic geometry — notable, Groebner basis theory and technology — are researched to perform reachability analysis and verification of sequential circuits. This approach adds a `”word-level dimension” to state-space abstraction and verification to make the process more efficient.

While algebraic geometry provides powerful abstraction and reasoning capabilities, the algorithms exhibit high computational complexity. In the dissertation, we show that by analyzing the constraints, it is possible to obtain more insights about the polynomial ideals, which can be exploited to overcome the complexity. Using our algorithm design and implementations, we demonstrate how to perform reachability analysis of finite-state machines purely at the word-level. Using this concept, we perform scalable verification of sequential arithmetic circuits. As contemporary approaches make use of resolution proofs and unsatisfiable cores for state-space abstraction, we introduce the algebraic geometry analog of unsatisfiable cores, and present algorithms to extract and refine unsatisfiable cores of polynomial ideals. Experiments are performed to demonstrate the efficacy of our approaches.

 

 

 

Friday December 16, 2016

12:30-2:30 PM, ECE conference room

Merrill Engineering Building (MEB) room 3235

The public is invited

Barun Gupta PhD final defense

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

Barun Gupta

Advisor: Ajay Nahata

 

 

CONTROLLING PROPAGATION PROPERTIES OF SURFACE PLASMON POLARITON AT TERAHERTZ FREQUENCY

 

Despite great scientific exploration since 1900’s, the terahertz range is one of the least explored regions of electromagnetic spectrum today. In the field of plasmonics, texturing and patterning allows for control over electromagnetic waves bound to the interface between a metal and the adjacent dielectric medium. These surface plasmon-polaritons (SPPs) display unique dispersion characteristics that depend upon the plasma frequency of the medium. In the long wavelength regime, where metals are highly conductive, such texturing can create an effective medium that can be characterized by an effective plasma frequency that is determined by the geometrical parameters of the surface structure. The terahertz (THz) spectral range offers unique opportunities to utilize such materials. While there has been significant work on developing coherent sources and detectors, relatively few other device technologies currently exist. A major issue that has constrained this development is the fact that most conventional dielectrics and semiconductors are highly lossy in this spectral range. Since metals are highly conductive, SPPs experience very low propagation loss when air acts as the adjacent dielectric medium.

                This thesis describes a number of terahertz plasmonic devices, both passive and active, fabricated using different techniques. As an example, inkjet printing is exploited for fabricating two-dimensional plasmonic devices. In this case, we demonstrated the terahertz plasmonic structures in which the conductivity of the metallic film is varied spatially in order to further control the plasmonic response. Using a commercially available inkjet printers, in which one cartridge is filled with conductive silver ink and a second cartridge is filled with resistive carbon ink, computer generated drawings of plasmonic structures are printed in which the individual printed dots can have differing amounts of the two inks, thereby creating a spatial variation in the conductivity. The silver ink has a DC conductivity that is only a factor of six lower than bulk silver, while the carbon ink acts as a lossy dielectric at THz frequencies. Both inks sinter at room temperature immediately after contact with the plastic film. Using a periodic array of subwavelength apertures as a test structure, patterns printed with different fractional amounts of the two inks show dramatically different enhanced optical transmission properties. These differences arise from changes in the propagation loss properties as a function of conductivity. This data is used to design and fabricate aperture arrays in which the conductivity varies spatially. The resulting plasmonic effect is found to dramatically alter the spatial beam profile of the transmitted THz radiation, as measured by THz imaging. These plasmonic devices are passive devices.

The inkjet printing technique is limited to the two-dimensional structurers. In order to expand the capability of printing complex terahertz devices, which cannot otherwise be fabricated using standard fabrication techniques, we employed 3D printing. This technique is an additive manufacturing approach, which allows for the fabrication of complex terahertz devices using polymers. The printed structures are then coated with ~ 1 µm of gold on all sides, in order to make it a plasmonic device. Using this printing methodology, we fabricated both planar and non-planar terahertz waveguide devices, including 3D bends, 3D y-splitters and curved waveguides. For the purposes of comparison, we fabricated terahertz waveguide devices and compared them with the standard waveguide devices fabricated using laser ablation techniques with stainless steel films. We find excellent agreement between these two types of devices. At a stage where THz technology is still maturing, the development of devices where the propagation properties can be easily modulated holds great promise for the development of terahertz optoelectronic devices.

In the realm of active plasmonic devices, a wide range of innovative approaches have been developed utilizing a variety of materials including liquid crystals semiconductors, liquid metals, photochromic and electrochromic molecules and phase-change materials. One of the most heavily studied phase change materials for active plasmonic and metamaterial device implementations is vanadium dioxide, VO2, which undergoes a thermally-driven metal–insulator transition near room temperature associated with a structural change in its crystal symmetry. Phase transitions can lead to a variety of different macroscopic effects, which may be useful for active optical applications. As an example, shape memory alloys (SMAs) can be thermally cycled between different physical geometries. As an example, Nitinol, a nickel-titanium alloy, has been shown to be associated with a transformation between the martensite phase below the transition temperature and the austenite phase above the transition temperature. The two most commonly used approaches to control these transitions are referred to as one-way memory and two-way memory. In the former approach, an SMA that has been deformed returns to its original shape after being heated.  This is most commonly demonstrated using wires, though numerous applications utilizing thin metal foils have also been shown. Two-way memory requires that the SMA undergo specific thermo-mechanical treatments, commonly referred to as training procedures, in order to thermally cycle between two different alloy geometries.

We discuss the use of SMAs for terahertz (THz) plasmonics that allows for switching between different physical geometries corresponding to different electromagnetic responses. We use Nitinol, a metal alloy of nickel and titanium composed of approximately equal atomic percentages, as the SMA medium that is structured to give the desired electromagnetic response. Nitinol has a DC conductivity of ~1.25 x 106 S/m for both phases which is similar to the value for stainless steel, making it well suited for THz plasmonic applications. As an SMA, it undergoes a structural transition between the martensite phase to the austentite phase that is bistable and reproducible at temperatures that are only slightly above room temperature. Using a two-way training protocol that we developed, we created samples that transition between either a one-dimensional (1D) or two-dimensional (2D) sinusoidally corrugated geometry and a flat substrate. In order to observe a plasmonic response, the foils are patterned either with a periodic array of subwavelength apertures or a single aperture and their transmission properties are measured using THz time-domain spectroscopy

Friday December 16, 2016

3-5 PM, ECE conference room

Merrill Engineering Building (MEB) room 2109

The public is invited

Shashank Pandey PhD final defense 12/15/2016

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

 

Shashank Pandey

Advisor: Ajay Nahata

 

 

Terahertz Plasmonic Waveguides

 

This dissertation presents work on a new class of terahertz (THz) waveguides based on structured metal geometries. The waveguides are designed with the core idea that adoption of planar layout in fabrication can lead to exponential growth in device capabilities, analogous to the growth in device capabilities based in electronics. From a functional point of view, the waveguides rely upon propagation of surface waves along the surface of metals. This approach is preferred, since dielectrics tend to be lossy at THz and the loss parameters scales almost quadratically with frequency for most dielectrics. The loss in propagating wave is minimized by utilizing metals, which are highly conducting at THz frequencies. Structuring the metal surface with periodic array of apertures of sub-wavelength dimension allows bound surface wave to propagate as the wave can evanescently decay into the metal. This phenomenon is referred as the coupling of propagating wave to surface plasmon polariton (SPP) like mode at the interface of structured metal surface and air. Thus, these propagating THz waves are simply surface plasmon-polaritons (SPPs) . Similarly, complimentary structures that do not perforate the metal, but rather stand on the metal surface also support SPPs. The wavelength of SPPs can be controlled by changing the dimension of these apertures/structures, since the dispersion relationship of the medium depends on the geometrical size. This engineering capability has been exploited in creating all the waveguides presented in this thesis. The devices presented are categorized based on the fabrication technique. Each technique is unique in its own regard and can be selected based on functional needs. A commonly adopted process of laser ablation covers a wide set of waveguides presented here. In one of the waveguides fabricated using ablation technique, the role of disorder is discussed. The waveguide with introduction leads to observance of localized mode with spectral and spatial feature like Anderson localized modes of photons. It is the first report of localized mode at THz frequency. 3D rapid prototyping involving 3D printer is used to create waveguides with complex layout that can allow for multi-plane signal routing. This also is the first demonstration of 3D printing in the development of THz devices. In another approach a unique fabrication technique had to be developed to create waveguides mediums with negative index of refraction (NIM) as they require feature sizes which cannot easily be attained using conventional clean room techniques and 3D printing. This new fabrication approach uses a sacrificial layer technique that is used create an effective medium with negative index of refraction and length on the order of tens of wavelength. Again, this happens to be the first demonstration of a waveguide with NIM capability at THz length scales, as well as a figure of merit (FOM) defined in terms of loss parameter that is an order of magnitude better than the previous reported NIM’s in the THz spectral range.

 

 

 

 

Thursday December 15, 2016

3-5 PM, Wiggins Seminar Room

Warnock Engineering Building (WEB) room 2470

The public is invited

 

 

Apratim Majumder PhD final defense 12/8

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

 

Apratim Majumder

Advisor: Rajesh Menon

 

 

Super-Resolution Optical Lithography Beyond the Far-Field Diffraction Limit Using Photochromic Molecules and Absorbance Modulation Optical Lithography

 

Photolithography has been the main driving force behind the growth and progress in the semiconductor industry. However, as the sizes of circuit elements have been shrunk down every few years, the state of the art of patterning ever-small structures has now almost reached its final limit. This limit to the size of the smallest feature that can be patterned using photolithography is imposed by the diffraction limit of light and is generally accepted to be about half the wavelength of the patterning light. In order to push the size of patterned features below 50 nm, a number of expensive methods are being used in the semiconductor industry, such as double patterning, use of deep ultraviolet wavelengths, and similar others, all of which are limited by the increased cost of equipment, complexity of process and are generally accessible by only the select few with sufficient revenue. Thus, there is a need to develop a low-cost, low-energy super-resolution lithography technique that can pattern features with sizes below the diffraction limit of light.

Absorbance Modulation Optical Lithography (AMOL) is a novel technique of super-resolution maskless photolithography that promises to achieve some of these goals. AMOL makes use of a unique family of organic molecules called photochromes that can switch between two isomeric states based on the wavelength of light that the states absorb. Specifically, the type of photochromes used in AMOL switch between a state that is opaque to ultraviolet (UV) light when absorbing a long wavelength photon (of wavelength λ2) and a state that is transparent to UV when absorbing a short wavelength photon (of wavelength λ1). When a thin layer of this photochromic molecule, termed the absorbance modulation layer (AML) is subjected to simultaneous illumination by a focal spot at λ1 and a ring shaped spot at λ2, it is rendered opaque everywhere except at very close to the center of the optical node in the ring shaped λ2 spot. This competing behavior of the absorbance of the layer to the two wavelengths and the state transitions allows only λ1 photons to penetrate through the λ2 node, creating a nanoscale illumination spot, the dimensions of which are far below the diffraction limit. A recording medium placed under this layer, such as photoresist, can record this illumination. Although the two beams themselves are inherently limited in size by the diffraction limit of the optical system used, the final nanoscale spot that is recorded is not diffraction limited, but controlled by the chemistry of the AML and the ratio of intensities of the two beams.

In this thesis, a number of issues related to the development of AMOL as a cost effective super-resolution photolithography process are addressed. Firstly, an improvement to the AMOL process is affected by the removal of a barrier layer that was present in previous demonstrations in between the AML and the photoresist. This is achieved by investigating different photoresist combinations and identifying a compatible resist-AML combination. Secondly, experimental verification of the AMOL feature-scaling trend is presented. Such an investigation is important to the characterization of any lithography method. Next, a comprehensive model to simulate the AMOL process is constructed using finite element method based full electromagnetic wave solutions. This model and accompanying simulation results present an insight to the effect of various illumination and AML material properties on the performance of AMOL. A couple of methods to realize AMOL patterning at very low light intensity levels are also demonstrated with both simulation and experimental verifications. Lastly, an optical system is described that is capable of extending the AMOL process to patterning aperiodic arbitrary features. 

 

 

Thursday December 8, 2016, 2:00 PM

Sorenson Molecular Bioengineering Building (SMBB) room 2660

The public is invited

 

Fatemeh Koohestan Mahalian MS final defense 12/9

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

MASTER OF SCIENCE

 

by

 

Fatemeh Koohestan Mahalian

Advisor: Neil Cotter

 

 

 

Mathematical Characterization of a Spiking Neuron

 

 

In this thesis, a single neuron with an arbitrary number of inputs is mathematically characterized, and a direct mapping from input firing times to the output firing time is introduced.  Our mapping is referred to as a response surface and, for our model neuron, surface graphs for N-input neurons are hyper-planes intersecting with hyper-cubes where \textit{N} could be any arbitrary positive integer. This thesis answers the question of how to visualize and plot the response to the neuron’s inputs. An accurate mathematical description of a single neuron gives us a tool to design a neural network that produces spikes at desired times, or finding the output spike time for any given pattern of inputs, or deduce the pattern of input spikes that results in a given network output spike pattern by finding intersections of response surfaces for multiple neurons. In our model, spikes are simulated as impulse functions that carry information solely by timing. We use two key ideas to calculate the response surfaces: first, we put the reference time of the synaptic responses at the centers of the triangles, making the math more tractable and symmetric, and second, we shift the output pulse time to zero eliminating the problem of a time reference. Thus, a point on the response surface causes the neuron to spike at time zero and there is no axis of time for the output pulse. We present the response surface graph for a 3-input neuron, with each axis representing a synaptic input’s timing.

 

 

Friday December 9, 2016

11:00 AM

Merrill Engineering Building (MEB) room 2325

The public is invited

 

 

Devavrat Likhite PhD final defense

UNIVERSITY OF UTAH

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT

 

DISSERTATION DEFENSE FOR THE DEGREE OF

DOCTOR OF PHILOSOPHY

 

by

 

Devavrat Likhite

Advisor: Edward DiBella

 

 

Challenges in quantitative cardiovascular magnetic resonance perfusion

 

 

Medical imaging has evolved with leaps and bounds in the last century. Several medical imaging modalities such as X-rays, single photon emission computer tomography (SPECT), positron emission tomography (PET), computer tomography (CT), magnetic resonance imaging (MRI) have developed. However, MRI has a distinct advantage over most of these imaging techniques. MRI does not use ionizing radiation and hence is considered a safer option for non-invasive imaging. However, every imaging modality comes with its set of limitations and challenges. Although quantitative myocardial perfusion MRI has been studied by researchers over a few decades now, it has still not developed into a clinical tool. There is no consensus on the choice of imaging protocol to be used. The scientific community is still divided on the choice of pharmacokinetic model to be used for quantification of myocardial perfusion. In this dissertation, novel techniques were developed and implemented to address few of the challenges faced by fully quantitative myocardial perfusion MRI. We strive to make it more simple and more accurate. It is with the development of such easy-to-use techniques that cardiac perfusion MR will find more and more clinical use. These developments are in a direction to transition quantitative myocardial perfusion MRI from an ‘evolving tool’ to an ‘evolved and matured tool’.

 

 

 

Thursday December 1, 2016

11:00 AM

Imaging and Neurosciences Center (Building 888),

729 Arapeen drive,

Downstairs large conference room

The public is invited