The complicated structures of the lungs can be viewed in the most simplistic form as airways, vessels, and nerves. These structures work together to perform the marvellous feat of respiration and gas exchange. During disease states, one of these structures is impaired, either temporarily or permanently , and respiration and gas exchange are hindered. Asthma is a disease that primarily affects t...

Two segmentation methods based on the minimum spanning tree principle are evaluated with respect to each other. The hierarchical minimum spanning tree method is also evaluated with respect to human segmentations. Discrepancy measure is used as best suited to compute the segmentation error between the methods. The evaluation is done using gray value images. It is shown that the segmentation resu...

The purpose of this study was to improve the accuracy rate of brain tissue classification in magnetic resonance (MR) imaging using a boosted decision tree segmentation algorithm. Herein, we examined simulated phantom MR (SPMR) images, simulated brain MR (SBMR) images, and a real data. The accuracy rate and k index when classifying brain tissues as gray matter (GM), white matter (WM), or cerebra...

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy STRUCTURED GRAPHICAL MODELS FOR UNSUPERVISED IMAGE SEGMENTATION By Kittipat Kampa Dec 2011 Chair: Jose C. Principe Major: Electrical and Computer Engineering In the dissertation, we seek the following goals: (1) to come up with a probabi...

The main objective of this study was to compare methods to estimate the number of trees and individual tree height using remote sensing data. A Korean pine tree study area for these techniques was selected. the methods of watershed segmentation, region-growing segmentation, and morphological filtering were compared to estimate their accuracy. The algorithm was initiated by developing a normaliz...

A method for automatic extraction and labeling of the airway tree from thoracic CT scans is presented and extensively evaluated on 150 scans of clinical dose, low dose and ultra-low dose data, in inspiration and expiration from both relatively healthy and severely ill patients. The method uses adaptive thresholds while growing the airways and it is shown that this strategy leads to a substantia...

Chest x-rays (CXR) still play an important role in detection of airway disease. Airway stenosis is a key sign of disease such as paediatric tuberculosis but is challenging to measure in CXR because the airway has relatively low contrast compared to overlying structures. In this study a novel approach to identify airways in CXRs is introduced, using a 3D statistical shape model to guide the segm...