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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6143 II
DOIs
StatePublished - 2006
EventMedical Imaging 2006: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 12 2006Feb 14 2006

Other

OtherMedical Imaging 2006: Physiology, Function, and Structure from Medical Images
CountryUnited States
CitySan Diego, CA
Period2/12/062/14/06

Fingerprint

Tissue
Detectors
Pulmonary diseases
Image classification
Image analysis
Pixels

Keywords

  • Lung Analysis
  • Lung imaging
  • Tissue Classification

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zavaletta, V. A., Karwoski, R. A., Bartholmai, B. J., & Robb, R. A. (2006). High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6143 II). [61432Z] 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 Jack; Robb, Richard A.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6143 II 2006. 61432Z.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zavaletta, VA, Karwoski, RA, Bartholmai, BJ & Robb, RA 2006, High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6143 II, 61432Z, 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
Zavaletta VA, Karwoski RA, Bartholmai BJ, Robb RA. High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6143 II. 2006. 61432Z https://doi.org/10.1117/12.653450
Zavaletta, Vanessa A. ; Karwoski, Ronald A. ; Bartholmai, Brian Jack ; Robb, Richard A. / High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6143 II 2006.
@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 Bartholmai, {Brian Jack} and Robb, {Richard A.}",
year = "2006",
doi = "10.1117/12.653450",
language = "English (US)",
isbn = "0819461865",
volume = "6143 II",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - High resolution multi-detector CT aided tissue analysis and quantification of lung fibrosis

AU - Zavaletta, Vanessa A.

AU - Karwoski, Ronald A.

AU - Bartholmai, Brian Jack

AU - Robb, Richard A.

PY - 2006

Y1 - 2006

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.

KW - Lung Analysis

KW - Lung imaging

KW - Tissue Classification

UR - http://www.scopus.com/inward/record.url?scp=33745425656&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745425656&partnerID=8YFLogxK

U2 - 10.1117/12.653450

DO - 10.1117/12.653450

M3 - Conference contribution

SN - 0819461865

SN - 9780819461865

VL - 6143 II

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -