@inproceedings{93d4876720564198834a4a53d1f831b9,
title = "High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis",
abstract = "Idiopathic pulmonary fibrosis (IPF, also known as Idiopathic Usual Interstitial Pneumontis, pathologically) is a progressive diffuse lung disease which has a median survival rate of less than four years with a prevalence of 15-20/100,000 in the United States. Global function changes are measured by pulmonary function tests and the diagnosis and extent of pulmonary structural changes are typically assessed by acquiring two-dimensional high resolution CT (HRCT) images. The acquisition and analysis of volumetric high resolution Multi-Detector CT (MDCT) images with nearly isotropic pixels offers the potential to measure both lung function and structure. This paper presents a new approach to three dimensional lung image analysis and classification of normal and abnormal structures in lungs with IPF.",
keywords = "Lung Analysis, Lung imaging, Tissue Classification",
author = "Zavaletta, {Vanessa A.} and Karwoski, {Ronald A.} and Brian Bartholmai and Robb, {Richard A.}",
year = "2006",
doi = "10.1117/12.653450",
language = "English (US)",
isbn = "0819461865",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2006",
note = "Medical Imaging 2006: Physiology, Function, and Structure from Medical Images ; Conference date: 12-02-2006 Through 14-02-2006",
}