Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3980
Title: Non-invasive assessment of renal function by dynamic imaging
Authors: Zhang, Lei
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2007
Source: Zhang, L. (2007). Non-invasive assessment of renal function by dynamic imaging. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Kidneys are important but vulnerable organs in the human body. In this thesis, the thesis focuses on the study of assessing renal function by dynamic imaging. Dynamic renal scintigraphy is a well-established imaging technique for renal-function evaluation. To analyze the scintigraphic images by parametric deconvolution (also termed as model fitting), some models of renal impulse retention function (IRF) were proposed and improved. A novel biphasic model-fitting approach based on renal physiology was proposed as well. With the improved IRF model (termed as Fine’s model with vascular delay) and biphasic fitting approach, renal vascular and parenchyma parameters can be simultaneously and reliably identified. Many of these parameters are indicative of some renal pathologies and functional status.
URI: https://hdl.handle.net/10356/3980
DOI: 10.32657/10356/3980
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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