California Polytechnic State University - San Luis Obispo
Johns Hopkins Bloomberg School of Public Health
Dublin Institute of Technology
University of Nebraska-Lincoln
St. John Fisher College
Use Of Imaging Biomarkers To Assess Perfusion And Glucose Metabolism In The Skeletal Muscle Of Dystrophic Mice,
2017
The University of Western Ontario
Use Of Imaging Biomarkers To Assess Perfusion And Glucose Metabolism In The Skeletal Muscle Of Dystrophic Mice, Nabeel Ahmad, Ian Welch, Robert Grange, Jennifer Hadway, Savita Dhanvantari, David Hill, Ting-Yim Lee, Lisa M Hoffman
Lisa Hoffman
BACKGROUND: Duchenne muscular dystrophy (DMD) is a severe neuromuscular disease that affects 1 in 3500 boys. The disease is characterized by progressive muscle degeneration that results from mutations in or loss of the cytoskeletal protein, dystrophin, from the glycoprotein membrane complex, thus increasing the susceptibility of contractile muscle to injury. To date, disease progression is typically assessed using invasive techniques such as muscle biopsies, and while there are recent reports of the use of magnetic resonance, ultrasound and optical imaging technologies to address the issue of disease progression and monitoring therapeutic intervention in dystrophic mice, our study aims to validate ...
Multi-Color Ultra-High Resolution Imaging,
2017
Purdue University
Multi-Color Ultra-High Resolution Imaging, David A. Miller, Michael Mlodzianoski, Sheng Liu, Fang Huang
The Summer Undergraduate Research Fellowship (SURF) Symposium
Fluorescence microscopy, which allows multiple-color imaging, plays an important role in observing structures inside cells with high specificity. The advent of super-resolution fluorescence microscopy, or nanoscopy techniques such as single-molecule switching nanoscopy (SMSN), has extended the application range of fluorescence microscopy beyond the diffraction limit, achieving up to 10-fold improvement in spatial resolution. At the same time, the recent development of expansion microscopy (ExM) allows samples to be physically expanded by 4-fold in the lateral dimensions providing another independent method to resolve structures beyond the diffraction limit. When combined, ExM-SMSN makes it possible to achieve another significant leap in resolution ...
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 ...
Dual-Tuned Removable Common-Mode Current Trap For Mri,
2017
University of Puerto Rico Mayaguez
Dual-Tuned Removable Common-Mode Current Trap For Mri, Angel G. Enriquez, Joseph V. Rispoli
The Summer Undergraduate Research Fellowship (SURF) Symposium
Magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) are preferred methods of gathering information from the body due to their non-invasive approach of obtaining a diagnosis. MRI can obtain spatial mappings from a region of interest, while MRS can obtain metabolic information from different elements. Dual-tuned radiofrequency (RF) coils are able to capture signals produced by both hydrogen atoms and a second atom of interest. Unwanted shield currents occur in these scans, which can cause image distortion, while the high energy dissipated can create harmful heat, which can injure the patient. These shield currents, also known as common-mode currents ...
Nanostructured Biosensor For Tear Glucose Detection Based On Bioluminescence Resonance Energy Transfer (Bret) Mechanism.,
2017
The University of Western Ontario
Nanostructured Biosensor For Tear Glucose Detection Based On Bioluminescence Resonance Energy Transfer (Bret) Mechanism., Denghuang Zhan
Electronic Thesis and Dissertation Repository
Bioluminescence Resonance Energy Transfer (BRET), a sensitive, non-destructive and self-illuminated method, has been now commonly used to test protein interactions. Here, we describe a BRET sensor for non-invasively detecting glucose molecules. The sensor is made by the bioconjugation of quantum dots and recombinant protein. The recombinant protein contains the bacterial glucose binding protein (GBP) and a bioluminescent protein, Renilla luciferase (Rluc), used as the donor with the emission peak at 470 nm, which is able to excite the acceptor of BRET sensor made of cadmium tellurium quantum dots ( CdTe QDs) with the emission peak at 570 nm. The distance between ...
Segmentation Of Heart Ventricles Using Skeletal Representations,
2017
Susquehanna University
Segmentation Of Heart Ventricles Using Skeletal Representations, Hasana Chaudry, Toshiro Kubota
Landmark Conference Summer Research Symposium
The objective of the project is to develop practical algorithms to segment the human heart’s left and right ventricles from isotropic Magnetic Resonance Imaging (MRI). An advanced algorithm that allows for efficient analysis of the ventricles in 3D or 4D would help diagnose and treat numerous cardiac diseases and illnesses. The left ventricle is a convex-like structure whereas the right ventricle has a relatively more abstract shape. The constant blood flow in and out of the ventricles causes them to look different at any given time. Therefore, our data set is in 4D where the fourth dimension is time ...
A Review Of Autoimmune Diseases Associated With Cancer,
2017
University of Saskatchewan
A Review Of Autoimmune Diseases Associated With Cancer, Patricia Tai, Edward Yu, Kurian Joseph, Thomas Miale
Edward Yu
The focus of this review is on the relationships between autoimmune diseases and cancer from two closely related perspectives: 1.Those autoimmune diseases which are often associated with malignancies. 2.Those prevalent cancers which may increase the risks of developing autoimmune disorders. The review concludes with a brief discussion of some selected innovative approaches to cancer immunotherapy.
Robot Assisted Ultrasound Imaged Guided Interstitial Lung Brachytherapy In A Porcine Model,
2017
University of Western Ontario
Robot Assisted Ultrasound Imaged Guided Interstitial Lung Brachytherapy In A Porcine Model, Richard A. Malthaner, Edward Yu, Jerry J. Battista, Chris Blake, Donal Downey, Aaron Fenster
Edward Yu
We set out to see if permanent interstitial brachytherapy seeds could be safely and reproducibly inserted thoracoscopicaly with the ZEUS Robotic system and intraoperative ultrasound into in-vivo porcine lungs.
A Review Of Autoimmune Diseases Associated With Cancer,
2017
University of Saskatchewan
A Review Of Autoimmune Diseases Associated With Cancer, Patricia Tai, Edward Yu, Kurian Joseph, Thomas Miale
Edward Yu
The focus of this review is on the relationships between autoimmune diseases and cancer from two closely related perspectives: 1.Those autoimmune diseases which are often associated with malignancies. 2.Those prevalent cancers which may increase the risks of developing autoimmune disorders. The review concludes with a brief discussion of some selected innovative approaches to cancer immunotherapy.
Metabolic Response To Stress Differentiates Heterogeneous Cancer Cells With Varying Metastatic Potential,
2017
University of Arkansas, Fayetteville
Metabolic Response To Stress Differentiates Heterogeneous Cancer Cells With Varying Metastatic Potential, Kinan Alhallak
Biomedical Engineering Undergraduate Honors Theses
Intratumoral heterogeneity is ubiquitously present within primary tumors and contributes to intractable behaviors such as metastasis and mutability spatiotemporally. Mounting evidence has shown that heterogeneous cell populations can adversely affect cell metabolism and metastatic potential. The cell’s only fluorescent molecules within the electron transport chain, flavin adenine dinucleotide (FAD) and nicotinamide adenine dinucleotide (NADH), can allow the quantitation of cell metabolism. We demonstrate the use of the optical redox ratio (FAD/(NADH+FAD)) to determine the metabolic behaviors of a heterogeneous panel of cells with varying metastatic programs at normal conditions and following acute hypoxia. At normal conditions, we ...
In Vivo Multi-Parametric Imaging Of Metastatic And Non-Metastatic Breast Cancer,
2017
University of Arkansas
In Vivo Multi-Parametric Imaging Of Metastatic And Non-Metastatic Breast Cancer, Raisa B. Rasul
Biomedical Engineering Undergraduate Honors Theses
A current issue in cancer therapy is the characterization of metastatic tumors, which can increase ease of treatment and patient trials. We present an in vivo study of metastatic (4T1) and non-metastatic (4T1-TWIST KO) breast tumor sister cell lines to understand their metabolic behavior, determine differences in two modes of imaging (reflection & transmission), and observe effect of breathing higher oxygen percentage on vascular hemoglobin oxygen saturation. After injection of 10,000 cells into mice dorsal window chambers, the glucose intake and hemoglobin oxygen saturation was measured using a fluorescent glucose analog (2-NBDG) and hyperspectral trans-illumination imaging from 520-620 nm at ...
Low-Cost Optics For Field-Based Optical Biosensors,
2017
Iowa State University
Low-Cost Optics For Field-Based Optical Biosensors, Viktoriia Kriuchkovskaia
Symposium on Undergraduate Research and Creative Expression
One of the main reasons of failures to ensure safe food production, especially in developing countries, is the lack of effective, low-cost detectors for toxic molecules. The manufacture of low-cost, easy-touse optical biosensors is expected to provide the means to detect toxic chemical and biological molecules in agricultural industry. Thus, such technologies are highly beneficial for in-field applications. The proposed approach integrates fairly sophisticated engineering concepts and low-cost parts and materials. Indeed, we employ low-cost light-emitting diode and single-board Raspberry Pi computer in order to build a fifty-dollar optical reader that can be applied to Nanotube-based biosensors. Previous research and ...
Development Of Spectroscopic Methods For Dynamic Cellular Level Study Of Biochemical Kinetics And Disease Progression,
2017
University of Maine
Development Of Spectroscopic Methods For Dynamic Cellular Level Study Of Biochemical Kinetics And Disease Progression, Anna M. Sitarski
Electronic Theses and Dissertations
One of the current fundamental objectives in biomedical research is understanding molecular and cellular mechanisms of disease progression. Recent work in genetics support the stochastic nature of disease progression on the single cell level. For example, recent work has demonstrated that cancer as a disease state is reached after the accumulation of damages that result in genetic errors. Other diseases like Huntingtons, Parkinsons, Alzheimers, cardiovascular disease are developed over time and their cellular mechanisms of disease transition are largely unknown. Modern techniques of disease characterization are perturbative, invasive and fully destructive to biological samples. Many methods need a probe or ...
Computer-Assisted Characterization Of Prostate Cancer On Magnetic Resonance Imaging,
2017
The University of Western Ontario
Computer-Assisted Characterization Of Prostate Cancer On Magnetic Resonance Imaging, Derek J. Soetemans
Electronic Thesis and Dissertation Repository
Prostate cancer (PCa) is one of the most prevalent cancers among men. Early diagnosis can improve survival and reduce treatment costs. Current inter-radiologist variability for detection of PCa is high. The use of multi-parametric magnetic resonance imaging (mpMRI) with machine learning algorithms has been investigated both for improving PCa detection and for PCa diagnosis. Widespread clinical implementation of computer-assisted PCa lesion characterization remains elusive; critically needed is a model that is validated against a histologic reference standard that is densely sampled in an unbiased fashion. We address this using our technique for highly accurate fusion of mpMRI with whole-mount digitized ...
A Novel Hybrid Imaging System To Aid In Surgical Decision Making,
2017
Western University
A Novel Hybrid Imaging System To Aid In Surgical Decision Making, Lawrence Yip, Madeleine Van De Kleut, Ivan Kosik, Astrid Chamson-Reig, Jeffrey Jl Carson
Western Research Forum
Background:
Breast cancer accounts for 25% of all cancer cases among women. In breast-conserving surgery, a common treatment, the tumour is excised with a healthy tissue margin. However, detection of the margin can be difficult. Current techniques to guide excision are often insufficient, and re-excision can occur up to 25% of the time.
Methods:
Photoacoustic imaging is a hybrid imaging modality that combines the advantages of optical imaging and ultrasound while using safe non-ionizing light. This project involves the development of a novel imaging system with a new scanner design to overcome common limitations and provide images to aid in ...
Estimation Of The Centre Of Mass From Motion Capture And Force Plate Recordings: A Study On The Elderly,
2017
Universite de Montpellier II
Estimation Of The Centre Of Mass From Motion Capture And Force Plate Recordings: A Study On The Elderly, Sebastien Cotton, Michele Vanoncini, Philippe Fraisse, Nacim Ramdani, Emel Demircan, Andrew P. Murray, Thierry Keller
Andrew P. Murray
The estimation of the centre of mass position in humans is usually based on biomechanical models developed from anthropometric tables. This method can potentially introduce errors in studies involving elderly people, since the ageing process is typically associated with a modification of the distribution of the body mass. In this paper, an alternative technique is proposed, and evaluated with an experimental study on 9 elderly volunteers. The technique is based on a virtual chain, identified from experimental data and locating the subject's centre of mass. Its configuration defines the location of the centre of mass, and is a function ...
Ex Vivo Bio-Orthogonal Mri Imaging – A Novel Method Proposed For Metastatic Cancer Detection,
2017
Brigham Young University - Provo
Ex Vivo Bio-Orthogonal Mri Imaging – A Novel Method Proposed For Metastatic Cancer Detection, Tanner Ravsten, William G. Pitt, Neal K. Bangerter, Randy Hartley, Forrest Howell, Jessica Doud
Biomedical Engineering Western Regional Conference
Bio-orthogonal detection of metastatic cancer using MRI, Gd Iron-oxide contrast agents using T1 T2* scans
Mri Field Mapping Using Bssfp Elliptical Signal Model,
2017
Brigham Young University
Mri Field Mapping Using Bssfp Elliptical Signal Model, Joseph Valentine, Meredith Taylor, Steven Whitaker, Michael Hoff, Neal Bangerter
Biomedical Engineering Western Regional Conference
MRI, Field Mapping, bSSFP, ssfp, Elliptical Signal model, ellipse, phase unwrapping
Engineering Fret Biosensors For Microrna Presence/Absence Analysis,
2017
Oregon State University
Engineering Fret Biosensors For Microrna Presence/Absence Analysis, Nicholas E. Larkey, Sean M. Burrows
Biomedical Engineering Western Regional Conference
No abstract provided.
Automatic Optimum Atlas Selection For Multi-Atlas Image Segmentation Using Joint Label Fusion,
2017
CUNY City College
Automatic Optimum Atlas Selection For Multi-Atlas Image Segmentation Using Joint Label Fusion, Kofi Agyeman
Master's Theses
Multi-atlas image segmentation using label fusion is one of the most accurate state of the art image segmentation techniques available for biomedical imaging applications. Motivated to achieve higher image segmentation accuracy, reduce computational costs and a continuously increasing atlas data size, a robust framework for optimum selection of atlases for label fusion is vital. Although believed not to be critical for weighted label fusion techniques by some works (Sabuncu, M. R. et al., 2010, [1]), others have shown that appropriate atlas selection has several merits and can improve multi-atlas image segmentation accuracy (Aljabar et al., 2009, [2], Van de Velde ...
