New image analysis technique for quantitative longitudinal assessment of lung pathology on CT in infected rhesus macaques

Jeffrey Solomon, Deborah Douglas, Reed Johnson, Dima Hammoud

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

Abstract

This paper describes a novel method of quantitative assessment of lung pathology derived from chest computed tomography (CT) scans in infected animal models, namely rhesus macaques. Tracking the extent of lung pathology is essential in the understanding of the natural history of infectious diseases and can be eventually used to predict prognosis and monitor response to preventative (vaccines) or therapeutic interventions. Our technique utilizes the histogram of voxel Hounsfield units (HU) within the segmented lung to track the percent change in 'hyper dense volume' as a marker of disease over time. This method is not as susceptible to variability in lung inflation from breath hold techniques during the scanning process as are other techniques. Our quantitative lung pathology estimates using this technique correlated well with qualitative interpretation of lung pathology performed by a radiologist.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-172
Number of pages4
ISBN (Print)9781479944354
DOIs
StatePublished - Jan 1 2014
Event27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States
Duration: May 27 2014May 29 2014

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Other

Other27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
CountryUnited States
CityNew York, NY
Period5/27/145/29/14

Keywords

  • histogram=based segmentation
  • image processing
  • lung volume

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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  • Cite this

    Solomon, J., Douglas, D., Johnson, R., & Hammoud, D. (2014). New image analysis technique for quantitative longitudinal assessment of lung pathology on CT in infected rhesus macaques. In Proceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014 (pp. 169-172). [6881870] (Proceedings - IEEE Symposium on Computer-Based Medical Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2014.59