Methodology for quantitative assessment of perfusion in porcine model of peripheral arterial disease
Pinot, Leopold Jean Baptiste
Loading…
Permalink
https://hdl.handle.net/2142/113065
Description
Title
Methodology for quantitative assessment of perfusion in porcine model of peripheral arterial disease
Author(s)
Pinot, Leopold Jean Baptiste
Issue Date
2021-07-19
Director of Research (if dissertation) or Advisor (if thesis)
Dobrucki, Wawrzyniec L
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
peripheral arterial disease
diagnosis
therapy
imaging modalities
perfusion
fluorescent microspheres
review
methodology
Abstract
Peripheral artery disease (PAD) is the degradation of perfusion in the lower muscles caused by the narrowing of upstream arteries. Currently, the diagnosis and prognosis of the disease rely almost entirely on hemodynamic metrics of major vessels affecting the periphery. Quantitative assessment of peripheral perfusion within muscles of impaired microcirculation is required to improve the understanding of the disease process and surpass the existing limitations in clinical practice. The aim of this study is two-fold. First, I will review recent advancements made in perfusion imaging modalities by providing detailed information about the methods and metrics used for PAD diagnosis and treatment. In the second part, I will describe a revised protocol for applying the gold-standard method for 3D perfusion quantification and mapping the peripheral skeletal musculature with fluorescent microspheres. The defined workflow could provide a reliable way to calibrate other perfusion imaging modalities and foster an understanding of PAD mechanisms.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.