Automatic quantification of Tree-in-Bud patterns from CT scans

Ulas Bagci*, Kirsten Miller-Jaster, Jianhua Yao, Albert Wu, Jesus Caban, Kenneth N. Olivier, Omer Aras, Daniel J. Mollura

*Corresponding author for this work

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

1 Scopus citations

Abstract

In this paper, we present a fully automatic method to quantify Tree-in-Bud (TIB) patterns for respiratory tract infections. The proposed quantification method is based on our previous effort to detect and track TIB patterns with a computer assisted detection (CAD) system [9]. In addition to accurately identifying TIB on CT, quantifying TIB is important for measuring the volume of affected lung as a potantial marker of disease severity. This quantification can be challenging due to the complex shape of TIB and high intensity variation contributing mixed features. Our proposed quantification method is based on a local scale concept such that TIB regions detected via the CAD system are quantified adaptively, and volume percentages of the quantified regions are compared to visual scoring of participating radiologists. We conducted the experiments with a data set of 94 chest CTs (laboratory confirmed 39 viral bronchiolitis caused by human parainfluenza (HPIV), 34 nontuberculous mycobacterial (NTM), and 21 normal control). Experimental results show that the proposed quantification system is well suited to the CAD system for detecting TIB patterns. Correlations of observer-CAD agreements are reported as (R 2 = 0.824, p < 0.01) and (R 2 = 0.801, p < 0.01) for HPIV and NTM cases, respectively.

Original languageEnglish (US)
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages1459-1462
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
CountrySpain
CityBarcelona
Period5/2/125/5/12

Keywords

  • CAD
  • CT
  • Lung
  • Quantification
  • Tree-in-Bud

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Automatic quantification of Tree-in-Bud patterns from CT scans'. Together they form a unique fingerprint.

Cite this