Paper
13 March 2006 High resolution multidetector CT aided tissue analysis and quantification of lung fibrosis
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vanessa A. Zavaletta, Ronald A. Karwoski, Brian Bartholmai M.D., and Richard A. Robb "High resolution multidetector CT aided tissue analysis and quantification of lung fibrosis", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432Z (13 March 2006); https://doi.org/10.1117/12.653450
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Cited by 1 scholarly publication.
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KEYWORDS
Lung

Tissues

Computed tomography

Image resolution

Visualization

Image segmentation

Error analysis

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