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A cerebral aneurysm is an abnormal ballooning of the blood vessel wall in the brain that occurs in approximately 6% of the general population. When a cerebral aneurysm ruptures, the subsequent damage is lethal damage in nearly 50% of cases. Over the past decade, endovascular treatment has emerged as an effective treatment option for cerebral aneurysms that is far less invasive than conventional surgical options. Nonetheless, the rate of successful treatment is as low as 50% for certain types of aneurysms. Treatment success has been correlated with favorable post-treatment hemodynamics. However, current understanding of the effects of endovascular treatment parameters on post-treatment hemodynamics is limited. This limitation is due in part to current challenges in in vivo flow measurement techniques. Improved understanding of post-treatment hemodynamics can lead to more effective treatments. However, the effects of treatment on hemodynamics may be patient-specific and thus, accurate tools that can predict hemodynamics on a case by case basis are also required for improving outcomes.Accordingly, the main objectives of this work were 1) to develop computational tools for predicting post-treatment hemodynamics and 2) to build a foundation of understanding on the effects of controllable treatment parameters on cerebral aneurysm hemodynamics. Experimental flow measurement techniques, using particle image velocimetry, were first developed for acquiring flow data in cerebral aneurysm models treated with an endovascular device. The experimental data were then used to guide the development of novel computational tools, which consider the physical properties, design specifications, and deployment mechanics of endovascular devices to simulate post-treatment hemodynamics. The effects of different endovascular treatment parameters on cerebral aneurysm hemodynamics were then characterized under controlled conditions. Lastly, application of the computational tools for interventional planning was demonstrated through the evaluation of two patient cases.
ContributorsBabiker, M. Haithem (Author) / Frakes, David H (Thesis advisor) / Adrian, Ronald (Committee member) / Caplan, Michael (Committee member) / Chong, Brian (Committee member) / Vernon, Brent (Committee member) / Arizona State University (Publisher)
Created2013
Description
Microvillus Inclusion disease is a fatal disease found in the Navajo population caused by a single nucleotide polymorphism. It is characterized by intractable diarrhea and is often fatal early in life.1 The current method of diagnosis is sending duodenal biopsies for histopathological examination and confirmatory testing through genomic sequencing. The purpose of this experiment was to create a more simple and cost-effective diagnostic method for detecting Microvillus Inclusion disease. Three methods were explored (RFLP2, ARMS3,4, and Tentacle Probes5,6) and two methods were tested to determine their ability and their efficiency in detecting the SNP that causes the disease.2 Tests using the RFLP2 method and synthetic DNA resulted in 9% false-positive rate and 11% false-negative rate in a blind trial for detecting both target (mutation present) and non-target (mutation absent) DNA when gel analyzing software was used to compare Rf values after gel electrophoresis. Using the ARMS method3, a nine-sample randomized test was run that ended up with 22% false-positive rate and 19% false-negative rate from a blind trial when using a gel analyzing software to determine presence of the SNP by band intensity. Disclaimer: No DNA from human patients was used in this study. Only synthetic DNA used.
ContributorsHelmbrecht, Hawley Elizabeth (Author) / Caplan, Michael (Thesis director) / Carpentieri, David (Committee member) / Dubois, Courtney (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Growing concern over health risks associated with environmental contaminants has prompted an increase in the search for effective detection methods. The available options provide acceptable sensitivity and specificity, but with high purchase and maintenance costs. Herein, a low-cost, portable environmental contaminant sensor was developed using electrochemical techniques and an efficient hydrogel capture mechanism. The sensor operates with high sensitivity and maintains specificity without the added requirement of extensive electrode modification. Rather, specificity is obtained by choosing specific potential regions in which individual contaminants show reduction or oxidation activity. A calibration curve was generated showing the utility of the sensor in detecting gas compounds reliably in reference to a current state of the art sensor. Reusability of the sensor was also demonstrated with a cyclic exposure test in which response reversibility was observed. As such, the investigated sensor shows great promise as a replacement technology in the current environmental contaminant detector industry.
ContributorsMarch, Michael Stephen (Author) / LaBelle, Jeffrey (Thesis director) / Caplan, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
This paper summarizes the [1] ideas behind, [2] needs, [3] development, and [4] testing of 3D-printed sensor-stents known as Stentzors. This sensor was successfully developed entirely from scratch, tested, and was found to have an output of 3.2*10-6 volts per RMS pressure in pascals. This paper also recommends further work to render the Stentzor deployable in live subjects, including [1] further design optimization, [2] electrical isolation, [3] wireless data transmission, and [4] testing for aneurysm prevention.
ContributorsMeidinger, Aaron Michael (Author) / LaBelle, Jeffrey (Thesis director) / Frakes, David (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2014-05
Description
Adaptive thermogenesis is an innate mechanism that assists the body in controlling its core temperature that can be stimulated in two ways: cold and diet. When adaptive thermogenesis is stimulated through diet, the metabolic rate of the body should increase and the metabolic efficiency of the body should decrease. This activation should, theoretically, help to control weight gain. A protocol was developed to study four male Sprague-Dawley rats throughout a fourteen week period through the measurement of brown adipose tissue blood flow and brown adipose tissue, back, and abdomen temperatures to determine if diet induced thermogenesis existed and could be activated through norepinephrine. The sedative used to obtain blood flow measurements, ketamine, was discovered to induce a thermal response prior to the norepinephrine injection by mimicking the norepinephrine response in the sympathetic nervous system. This discovery altered the original protocol to exclude an injection of norepinephrine, as this injection would have no further thermal effect. It was found that ketamine sedation excited diet induced thermogenesis in periods of youth, low fat diet, and early high fat diet. The thermogenic capacity was found to be at a peak of 2.1 degrees Celsius during this time period. The data also suggested that the activation of diet induced thermogenesis decreased as the period of high fat diet increased, and by week 4 of the high fat diet, almost all evidence of diet induced thermogenesis was suppressed. This indicated that diet induced thermogenesis is time and diet dependent. Further investigation will need to be made to determine if prolonged high fat diet or age suppress diet induced thermogenesis.
ContributorsJayo, Heather Lynn (Author) / Caplan, Michael (Thesis director) / Herman, Richard (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12