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Proceedings Paper

High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis
Author(s): Vanessa A. Zavaletta; Ronald A. Karwoski; Brian Bartholmai M.D.; Richard A. Robb
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Paper 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.

Paper Details

Date Published: 13 March 2006
PDF: 11 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432Z (13 March 2006); doi: 10.1117/12.653450
Show Author Affiliations
Vanessa A. Zavaletta, Mayo Clinic College of Medicine (United States)
Ronald A. Karwoski, Mayo Clinic (United States)
Brian Bartholmai M.D., Mayo Clinic (United States)
Richard A. Robb, Mayo Clinic College of Medicine (United States)
Mayo Clinic (United States)

Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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