Pulmonary Image Segmentation And Registration Algorithms: Towards Regional Evaluation Of Obstructive Lung Disease, 2017 The University of Western Ontario
Pulmonary Image Segmentation And Registration Algorithms: Towards Regional Evaluation Of Obstructive Lung Disease, Fumin Guo
Electronic Thesis and Dissertation Repository
Pulmonary imaging, including pulmonary magnetic resonance imaging (MRI) and computed tomography (CT), provides a way to sensitively and regionally measure spatially heterogeneous lung structural-functional abnormalities. These unique imaging biomarkers offer the potential for better understanding pulmonary disease mechanisms, monitoring disease progression and response to therapy, and developing novel treatments for improved patient care. To generate these regional lung structure-function measurements and enable broad clinical applications of quantitative pulmonary MRI and CT biomarkers, as a first step, accurate, reproducible and rapid lung segmentation and registration methods are required. In this regard, we first developed a 1H MRI lung segmentation algorithm that ...
Gui For Mri-Compatible Neural Stimulator And Recorder, 2017 Purdue University
Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu
The Summer Undergraduate Research Fellowship (SURF) Symposium
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are useful tools to analyze brain activities given active stimulation. However, the electromagnetic noise from the MRI distorts the brain signal recording and damages the subject with excessive heat generated on the electrodes attached to the skin. MRI-compatible recording and stimulation systems previously developed at LIBI lab were capable of removing the electromagnetic noise during the imaging process. Previously, the hardware systems had required the integrative software that could control both circuits simultaneously and enable users to easily change recording and stimulation parameters. Graphical user interface (GUI) programmed with computer language informed ...
Wax Bee Gone: A Safe, Effective Solution To Ear Wax Removal, 2017 California Polytechnic State University, San Luis Obispo
Wax Bee Gone: A Safe, Effective Solution To Ear Wax Removal, Robert G. Shenon, Shanvir S. Dhinsa
This project sought to combine conventional methods such as scraping and water pressure to removal ear wax, but with electronic automation to removal the potential for human error as much as possible. Through the use of a 9V battery, and Arduino microcontroller, DC motors, and other circuitry, this project has developed a prototype for a device that can properly remove ear wax without any discomfort or risk to the user. Much of this project involved learning how to properly manipulate and provide the necessary power requirements DC motors from an Arduino and a 9V battery. Additionally, creating a 3D printed ...
Poly Drop, 2017 California Polytechnic State University, San Luis Obispo
Poly Drop, Zachary T. Scott, Lilly J. Paul
Poly Drop is a software interface to control an Open Drop digital micro-fluidics system. We obtained a hardware system from Gaudi labs. Our task was to create a Graphical User Interface that made the control of the device easier and more automated for better testing. We created software that had 3 parts: a control GUI, arduino code to control the hardware, and Image Analysis that gives the user information such as location and color of liquid drops as they move across the electrode grid of the Open Drop system. The GUI was developed using Java Swing. The communication between the ...
Pulse Oximetry, 2017 Worcester Polytechnic Institute
Pulse Oximetry, Yitzhak Mendelson
UMass Center for Clinical and Translational Science Research Retreat
As part of the mini-symposium entitled "Bench to Bedside: Engineering Technology Translation," Dr. Mendelson describes pulse oximetry technology and how that technology idea successfully developed into a real world medical product.
The Electrophysiology Of Resting State Fmri Networks, 2017 Washington University in St. Louis
The Electrophysiology Of Resting State Fmri Networks, Carl David Hacker
Engineering and Applied Science Theses & Dissertations
Traditional research in neuroscience has studied the topography of specific brain functions largely by presenting stimuli or imposing tasks and measuring evoked brain activity. This paradigm has dominated neuroscience for 50 years. Recently, investigations of brain activity in the resting state, most frequently using functional magnetic resonance imaging (fMRI), have revealed spontaneous correlations within widely distributed brain regions known as resting state networks (RSNs). Variability in RSNs across individuals has found to systematically relate to numerous diseases as well as differences in cognitive performance within specific domains. However, the relationship between spontaneous fMRI activity and the underlying neurophysiology is not ...
Pet/Mr Imaging Of Hypoxic Atherosclerotic Plaque Using 64cu-Atsm, 2017 Washington University in St. Louis
Pet/Mr Imaging Of Hypoxic Atherosclerotic Plaque Using 64cu-Atsm, Xingyu Nie
Engineering and Applied Science Theses & Dissertations
ABSTRACT OF THE DISSERTATION
PET/MR Imaging of Hypoxic Atherosclerotic Plaque Using 64Cu-ATSM
Doctor of Philosophy in Biomedical Engineering
Washington University in St. Louis, 2017
Professor Pamela K. Woodard, Chair
Professor Suzanne Lapi, Co-Chair
It is important to accurately identify the factors involved in the progression of atherosclerosis because advanced atherosclerotic lesions are prone to rupture, leading to disability or death. Hypoxic areas have been known to be present in human atherosclerotic lesions, and lesion progression is associated with the formation of lipid-loaded macrophages and increased local inflammation which are potential major factors in the formation of ...
An Exact Analysis For Four-Order Acousto-Optic Bragg Diffraction Which Incorporates Both Incident Light Angle And Sound Frequency Dependencies, Adeyinka Sunday Ademola
Electrical Engineering Theses
This thesis extends the prior work which produced an exact solution to the four-order acousto-optic (AO) Bragg cell with assumed fixed center frequency and with exact Bragg angle incident light. The extension predicts the model that incorporates the dependencies of both the input angle of light and the sound frequency. Specifically, a generalized 4th order linear differential equation (DE), is developed from a simultaneous analysis of four coupled AO system of DEs. Through standard methods, the characteristic roots, which requires solving a quartic equation, is produced. Subsequently, a derived system of homogeneous solutions, which absorbs the roots obtained using ...
Development Of A Low Cost Biosensing Platform For Highly Sensitive And Specific On-Site Detection Of Pathogens And Infections, 2017 University of Tennessee, Knoxville
Development Of A Low Cost Biosensing Platform For Highly Sensitive And Specific On-Site Detection Of Pathogens And Infections, Cheng Cheng
A highly sensitive, specific, real time, and field-deployable surveillance tool is critical to the control of pathogens and infections, as well as ecological impact of chemicals exposure. This work investigates the development of a low cost biosensing platform that can be used for viral disease diagnosis and chemical detection. The sensing mechanism is known as AC electrokinetics (ACEK) capacitive sensing. By applying an inhomogeneous AC electric field on sensor electrodes, positive dielectrophoresis is induced to accelerate the travel of analytes. The same applied AC signal also directly measures the capture of target by the probe on sensor surface. The realized ...
Development Of An Oxygen Saturation Monitoring System By Embedded Electronics, 2017 University of Arkansas, Fayetteville
Development Of An Oxygen Saturation Monitoring System By Embedded Electronics, Manikandan Venkatesan Gomathy
Theses and Dissertations
Measuring Oxygenation of blood (SaO2) plays a vital role in patient’s health monitoring. This is often measured by pulse oximeter, which is standard measure during anesthesia, asthma, operative and post-operative recoveries. Despite all, monitoring Oxygen level is necessary for infants with respiratory problems, old people, and pregnant women and in other critical situations.
This paper discusses the process of calculating the level of oxygen in blood and heart-rate detection using a non-invasive photo plethysmography also called as pulsoximeter using the MSP430FG437 microcontroller (MCU). The probe uses infrared lights to measure and should be in physical contact with any peripheral ...
Using Optimization To Calibrate Models Of Intracranial Pressure Dynamics To Patients With Intracranial Hypertension, 2017 Portland State University
Using Optimization To Calibrate Models Of Intracranial Pressure Dynamics To Patients With Intracranial Hypertension, Wayne W. Wakeland, A. Bulbul, Mateo Aboy, James Mcnames, Brahm Goldstein
Aim: Automatically calibrate ICP Dynamic model to a specific patients. Method: Use optimization algorithm to estimate parameter values (ICP, compliances, resistances) that minimize the squared error in predicted ICP. Results: Estimated parameter values are plausible and improve predicted ICP. Optimization time for 18 minute episode = 2.5 min. for 1 parameter, 10 to 200 min. for multiple simultaneous parameters (too long).
Modeling Intracranial Fluid Flows And Volumes During Traumatic Brain Injury To Better Understand Pressure Dynamics, 2017 Portland State University
Modeling Intracranial Fluid Flows And Volumes During Traumatic Brain Injury To Better Understand Pressure Dynamics, Wayne W. Wakeland, James Mcnames, Mateo Aboy, D. Hollemon, Brahm Goldstein
We describe a computer model of intracranial pressure (ICP) dynamics that evaluates clinical treatment options for elevated ICP during traumatic brain injury (TBI).
A Novel Particle Filtering Method For Estimation Of Pulse Pressure Variation During Spontaneous Breathing, 2017 East Carolina University
A Novel Particle Filtering Method For Estimation Of Pulse Pressure Variation During Spontaneous Breathing, Sunghan Kim, Fouzia Noor, Mateo Aboy, James Mcnames
Background: We describe the first automatic algorithm designed to estimate the pulse pressure variation ([Formula: see text]) from arterial blood pressure (ABP) signals under spontaneous breathing conditions. While currently there are a few publicly available algorithms to automatically estimate [Formula: see text] accurately and reliably in mechanically ventilated subjects, at the moment there is no automatic algorithm for estimating [Formula: see text] on spontaneously breathing subjects. The algorithm utilizes our recently developed sequential Monte Carlo method (SMCM), which is called a maximum a-posteriori adaptive marginalized particle filter (MAM-PF). We report the performance assessment results of the proposed algorithm on real ...
A Computer Model Of Intracranial Pressure Dynamics During Traumatic Brain Injury That Explicitly Models Fluid Flows And Volumes, 2017 Portland State University
A Computer Model Of Intracranial Pressure Dynamics During Traumatic Brain Injury That Explicitly Models Fluid Flows And Volumes, Wayne W. Wakeland, Brahm Goldstein, Louis Macovsky, James Mcnames
Objective: To create a computer model of intracranial pressure (ICP) dynamics and to use the model to evaluate clinical treatment options for elevated ICP during traumatic brain injury (TBI)
Calibrating An Intracranial Pressure Dynamics Model With Clinical Data - A Progress Report, 2017 Portland State University
Calibrating An Intracranial Pressure Dynamics Model With Clinical Data - A Progress Report, Wayne W. Wakeland, Brahm Goldstein, James Mcnames
We describe the calibration of a computer model of intracranial pressure (ICP) dynamics to correspond with annotated clinical data taken from a patient being treated for elevated ICP due to a traumatic brain injury. The research protocol employed during treatment includes adjusting the elevation of the head of the bed, adjusting the ventilator settings to induce mild hyperventilation and hypoventilation, and adjusting the height of the cerebrospinal fluid drainage system. The model behavior corresponds to the experimental data quite well in the case of the changing the head of the bed, but less well in the case of changing the ...
Basic Science To Clinical Research: Segmentation Of Ultrasound And Modelling In Clinical Informatics, 2017 The University of Western Ontario
Basic Science To Clinical Research: Segmentation Of Ultrasound And Modelling In Clinical Informatics, Ali K. Hamou
Electronic Thesis and Dissertation Repository
The world of basic science is a world of minutia; it boils down to improving even a fraction of a percent over the baseline standard. It is a domain of peer reviewed fractions of seconds and the world of squeezing every last ounce of efficiency from a processor, a storage medium, or an algorithm. The field of health data is based on extracting knowledge from segments of data that may improve some clinical process or practice guideline to improve the time and quality of care. Clinical informatics and knowledge translation provide this information in order to reveal insights to the ...
Advanced Signal Processing Methods For Plane-Wave Color Doppler Ultrasound Imaging, 2017 The University of Western Ontario
Advanced Signal Processing Methods For Plane-Wave Color Doppler Ultrasound Imaging, Omar Mansour
Electronic Thesis and Dissertation Repository
Conventional medical ultrasound imaging uses focused beams to scan the imaging scene line-by-line, but recently however, plane-wave imaging, in which plane-waves are used to illuminate the entire imaging scene, has been gaining popularity due its ability to achieve high frame rates, thus allowing the capture of fast dynamic events and producing continuous Doppler data. In most implementations, multiple low-resolution images from different plane wave tilt angles are coherently averaged (compounded) to form a single high-resolution image, albeit with the undesirable side effect of reducing the frame rate, and attenuating signals with high Doppler shifts.
This thesis introduces a spread-spectrum color ...
Silent Communication Device, 2017 Calfornia Polytechnic State University - San Luis Obispo
Silent Communication Device, Christopher Wayne Schutter
Master's Theses and Project Reports
Oral communication has constituted as a necessary aspect of how people interact with one another, but there are always situations where this form of communication can create distractions, irritation, or even danger. Take for example, a student in a laboratory who needs to communicate effectively with a lab partner without creating a distraction to those trying to work around said student or a soldier on a battlefield who needs to relay information effectively to his or her comrades without revealing his or her position to the enemy. It becomes apparent that people need a more exclusive form of communication in ...
Meta!Blast: A Serious Game To Explore The Complexities Of Structural And Metabolic Cell Biology, 2017 Iowa State University
Meta!Blast: A Serious Game To Explore The Complexities Of Structural And Metabolic Cell Biology, Eve S. Wurtele, Diane C. Bassham, Julie Dickerson, David J. Kabala, William Schneller, Mark Stenerson, Achyuthan Vasanth
Knowledge of cellular structure and function has increased dramatically with the advent of modern molecular and computational technologies. Helping students to understand cellular dynamics is a major challenge to educators. To address this challenge, we have developed the Kabala Engine, an open source engine based on OpenSG (http://www.opensg.org) and VRJuggler (http://www.vrjuggler.org). This engine is designed to enable biologists, and indeed any domain expert — chemists, artists, psychologists — to create virtual interactive worlds for teaching or research. As a proof-of-concept, we have used this engine to create Meta!Blast, a virtual plant cell containing a prototype ...
T1, T2, And Off-Resonance Mapping Using A Non-Linear Least-Squares Fit Of The Bssfp Signal, 2017 Brigham Young University
T1, T2, And Off-Resonance Mapping Using A Non-Linear Least-Squares Fit Of The Bssfp Signal, Meredith Taylor, Joseph Valentine, Steven Whitaker, Neal Bangerter
Biomedical Engineering Western Regional Conference
The mapping of MR relaxation times has found a broad variety of applications in the study of disease. Unfortunately, the gold standards for acquiring T1 and T2 maps require long scan times, and are therefore more suited to 2D acquisitions with limited slices. For reasonable scan times, resolution is limited making these scans less useful for showing fine morphological detail. A rapid 3D sequence at higher resolutions that could be used to provide both morphological detail and relaxation time maps would be particularly useful. We propose a technique with potential to provide simultaneous band-free 3D datasets and estimates ...