High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis

Vanessa A. Zavaletta; Ronald A. Karwoski; Brian Bartholmai; Richard A. Robb

doi:10.1117/12.653450

High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis

Vanessa A. Zavaletta, Ronald A. Karwoski, Brian Bartholmai, Richard A. Robb

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2006
Subtitle of host publication	Physiology, Function, and Structure from Medical Images
DOIs	https://doi.org/10.1117/12.653450
State	Published - 2006
Event	Medical Imaging 2006: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: Feb 12 2006 → Feb 14 2006

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	6143 II
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Country/Territory	United States
City	San Diego, CA
Period	2/12/06 → 2/14/06

Keywords

Lung Analysis
Lung imaging
Tissue Classification

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.653450

Cite this

Zavaletta, V. A., Karwoski, R. A., Bartholmai, B., & Robb, R. A. (2006). High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. In Medical Imaging 2006: Physiology, Function, and Structure from Medical Images Article 61432Z (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6143 II). https://doi.org/10.1117/12.653450

High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. / Zavaletta, Vanessa A.; Karwoski, Ronald A.; Bartholmai, Brian et al.
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images. 2006. 61432Z (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6143 II).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zavaletta, VA, Karwoski, RA, Bartholmai, B & Robb, RA 2006, High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. in Medical Imaging 2006: Physiology, Function, and Structure from Medical Images., 61432Z, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6143 II, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, San Diego, CA, United States, 2/12/06. https://doi.org/10.1117/12.653450

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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.",

keywords = "Lung Analysis, Lung imaging, Tissue Classification",

author = "Zavaletta, {Vanessa A.} and Karwoski, {Ronald A.} and Brian Bartholmai and Robb, {Richard A.}",

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N2 - 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.

AB - 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.

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KW - Tissue Classification

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High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis

Abstract

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Keywords

ASJC Scopus subject areas

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