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Articles 1 - 3 of 3
Full-Text Articles in Body Regions
Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling To Assess Peripheral Artery Disease, Olga A. Gimnich, Tatiana Belousova, Christina M. Short, Addison A. Taylor, Vijay Nambi, Joel D. Morrisett, Christie M. Ballantyne, Jean Bismuth, Dipan J. Shah, Gerd Brunner
Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling To Assess Peripheral Artery Disease, Olga A. Gimnich, Tatiana Belousova, Christina M. Short, Addison A. Taylor, Vijay Nambi, Joel D. Morrisett, Christie M. Ballantyne, Jean Bismuth, Dipan J. Shah, Gerd Brunner
School of Medicine Faculty Publications
BACKGROUND: Computational fluid dynamics has shown good agreement with contrast-enhanced magnetic resonance imaging measurements in cardiovascular disease applications. We have developed a biomechanical model of microvascular perfusion using contrast-enhanced magnetic resonance imaging signal intensities derived from skeletal calf muscles to study peripheral artery disease (PAD). METHODS AND RESULTS: The computational microvascular model was used to study skeletal calf muscle perfusion in 56 in-dividuals (36 patients with PAD, 20 matched controls). The recruited participants underwent contrast-enhanced magnetic resonance imaging and ankle-brachial index testing at rest and after 6-minute treadmill walking. We have determined associations of microvascular model parameters including the transfer …
Use Of A Novel Whole-Body Imaging Approach To Predict Resting Metabolic Rates In Athletes, Nicole Vencil
Use Of A Novel Whole-Body Imaging Approach To Predict Resting Metabolic Rates In Athletes, Nicole Vencil
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Prediction of energy expenditure allows for calculation of appropriate energy requirements, which is especially important for athletes. Resting metabolic rate (RMR) is the greatest contributor to total daily energy expenditure (TDEE) and is typically measured via indirect calorimetry. Indirect calorimetry is not always available, which results in the need for predictive equations. Most predictive equations have been developed with participants resembling the general population and have not been found to be appropriate for athletes, as they may incorrectly predict RMR due to the unique differences of body composition between athletes and the general population. The purpose of the present study …
Human Anatomy And Physiology I: Course Map With Expected Learning Outcomes, Carlos Liachovitzky
Human Anatomy And Physiology I: Course Map With Expected Learning Outcomes, Carlos Liachovitzky
Open Educational Resources
This document contains a list with all the Anatomy and Physiology I expected learning outcomes organized by topics, and grouped into ten units: 1. Introduction to A&P: body plan & organization; 2. Introduction to A&P: homeostasis; 3. The chemical level of organization; 4. Levels of organization: the cellular level of organization; 5. Levels of organization: the tissue level of organization; 6. Support and movement: integumentary system; 7. Support and movement: skeletal system & articulations; 8. Support and movement: muscular system; 9. Regulation, integration, and control: nervous system; 10. Regulation, integration, and control: special senses
Each learning outcome is referred to …