Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features

Jesus J. Caban*, Jianhua Yao, Ulas Bagci, Daniel J. Mollura

*Corresponding author for this work

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

4 Scopus citations

Abstract

Advances in medical imaging and screening tests have made possible the detection and diagnosis of many diseases in their early stages. Those advances have enabled more effective planning, execution, and monitoring of a treatment plan. However, early detection has also resulted in an increase of the number of longitudinal radiographs requested for most patients, thus increasing the risk for potential long-term effects of ionizing radiation exposure and increasing the cost associated with a specific treatment plan. The aim of this paper is to study the associations between clinical measurements and quantitative image features in patients with pulmonary fibrosis. The association between these multi-modal features could be used to more accurately determine the state of the disease and could potentially be used to predict many of the longitudinal image features when CT images are not available. Our results show how textural image features are highly correlated with the severity of fibrosis, how clinical variables can be combined to monitor progression, and how simple blood features can be used to predict statistical image attributes of the lungs.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages6216-6219
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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