Methods for assessment of body composition allow studies of the complex relationships between body composition and the wellbeing of humans. The amount and distribution of adipose tissue is of great importance in these studies. This thesis describes, proposes, and evaluates new methods for assessment of body composition (amount and distribution of adipose tissue) using magnetic resonance imaging (MRI). The thesis focuses on the use of MRI but includes results from computed tomography (CT) and dual energy X-ray absorptiometry (DEXA). The subject data used originates from cohorts recruited solely for the purpose of the included studies and from the “Prospective Investigation of Vasculature in Uppsala Seniors” (PIVUS) and the Sib-pair (within the framework of the Swedish Obese Subjects – SOS study) studies…
Contents
INTRODUCTION
Background
General Aim
Structure of the Thesis
Medical Imaging
Computed Tomography
Magnetic Resonance Imaging
Basic Principles of Magnetic Resonance Imaging
Spin and Magnetization
Static Magnetic Field
Magnetic Field Gradients
Radio Frequency Pulses
Longitudinal Relaxation í T1
Transverse Relaxation í T2
Image Acquisition
Image Distortion
Dual Energy X-ray Absorptiometry
Medical Image Processing
Digital Images
Digital Image Processing
Filtering
Binary Morphology
Segmentation
Feature Extraction
Registration
Methods in Body Composition Assessment
Anthropometry
Body Mass Index
Waist and Hip Circumferences
Sagittal Abdominal Diameter
Transverse Abdominal Diameter
Elliptical Approximations
Skinfold Thickness
Computed Tomography
Magnetic Resonance Imaging
Analyzed Region
Acquisition Technique
Data Processing
Validations
Dual Energy X-ray Absorptiometry
Comparative Studie
SUMMARY OF PAPERS
Paper I – Whole-Body T1-Mapping
Aim
Methods
Results
Conclusions
Paper II – Validation of Whole-Body T1-Mapping
Aim
Methods
Results
Conclusions
Paper III – Automated VAT and SAT segmentation
Aim
Methods
Results
Conclusions
Paper IV – Abdominal Diameters
Aim
Methods
Results
Conclusions
DISCUSSION
ACKNOWLEDGMENTS
REFERENCES
Author: Kullberg, Joel
Source: Uppsala University Library
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