Development of improved analysis of radionuclide images of aerosol deposition

Montesantos, Spyridon (2008) Development of improved analysis of radionuclide images of aerosol deposition University of Southampton, School of Medicine, Doctoral Thesis , 205pp.


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Over the last few years, there has been an increase in the clinical methods targeting the
human tracheobronchial tree, both for therapeutic and diagnostic purposes. For these
methods to be effective, a good understanding of the lung structure is necessary. This
knowledge can be attained through the use of medical imaging protocols such as CT
and MRI, and can in turn be used to predict aerosol deposition for particles employed
for inhalation therapy via the simultaneous use of radionuclide imaging. However, due
to limitations imposed by the technologies currently available, not enough information
can be gathered in-vivo about the respiratory tract. Consequently, widespread use of
anatomical models of the lung is being made by clinicians in order to enable them to fill
this gap in information. The thesis is concerned with the improvement of such models
and the introduction of new, more advanced ones in an effort to accurately describe the
human lung using mathematical and physical principles.

A method is developed for improving the Conceptual Model constructed in the Nuclear
Medicine Department of Southampton General Hospital by incorporating to it real,
patient-specific data obtained through CT imaging. A model of the bronchopulmonary
segments of the lung is also created and an atlas that can be used for the identification
of these sub-structures in any lung space is formed. An algorithm for the generation of
a fully-descriptive 3D model of the airway tree is then designed and implemented, the
morphometry of which is assessed to confirm that it is a realistic representation of the
target organ. The deterministic algorithm reveals the 3D geometry and orientation of
the lung airways, thus enabling aerosol deposition and flow-pattern studies to be
performed in a comprehensive way in previously inaccessible regions of the lung.

Item Type: Thesis (Doctoral)
Organisations: University of Southampton
ePrint ID: 159857
Date :
Date Event
April 2008Published
Date Deposited: 16 Aug 2010 13:27
Last Modified: 18 Apr 2017 03:52
Further Information:Google Scholar

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