A CT-based Automated Algorithm for Airway Segmentation using Freeze-and-Grow Propagation and Deep Learning

Syed Ahmed Nadeem; Eric A Hoffman; Jessica C Sieren; Alejandro P Comellas; Surya P Bhatt; Igor Z Barjaktarevic; Fereidoun Abtin; Punam K Saha

doi:10.1109/TMI.2020.3029013

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A CT-based Automated Algorithm for Airway Segmentation using Freeze-and-Grow Propagation and Deep Learning

Journal article

Open access

Peer reviewed

A CT-based Automated Algorithm for Airway Segmentation using Freeze-and-Grow Propagation and Deep Learning

Syed Ahmed Nadeem, Eric A Hoffman, Jessica C Sieren, Alejandro P Comellas, Surya P Bhatt, Igor Z Barjaktarevic, Fereidoun Abtin and Punam K Saha

IEEE transactions on medical imaging, Vol.40(1), pp.1-1

10/05/2020

DOI: 10.1109/TMI.2020.3029013

PMCID: PMC7772272

PMID: 33021934

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https://www.ncbi.nlm.nih.gov/pmc/articles/7772272View

Open Access

Abstract

Chronic obstructive pulmonary disease repeat CT scans. Experiments on TLC CT scans from different imaging sites at standard and low radiation dosages show that both new algorithms outperform the other methods in terms of leakages and branch-level accuracy. Considering the performance and execution times, the deep learning-based FG algorithm is a fully automated option for large multi-site studies.

Airway tree

Atmospheric modeling

Computed tomography

COPD

deep learning

Diseases

Electronic mail

freeze-and-grow

Image segmentation

Lung

multi-parametric model

parameter relaxation

segmentation

tree-leakages

Details

Title: Subtitle: A CT-based Automated Algorithm for Airway Segmentation using Freeze-and-Grow Propagation and Deep Learning
Creators: Syed Ahmed Nadeem - University of Iowa
Eric A Hoffman - University of Iowa
Jessica C Sieren - University of Iowa
Alejandro P Comellas - University of Iowa
Surya P Bhatt - University of Alabama at Birmingham
Igor Z Barjaktarevic - Ronald Reagan UCLA Medical Center
Fereidoun Abtin - University of Iowa
Punam K Saha - University of Iowa
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.40(1), pp.1-1
DOI: 10.1109/TMI.2020.3029013
PMID: 33021934
PMCID: PMC7772272
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Grant note: R01-HL112986; S10-OD026960 / National Institutes of Health (10.13039/100000002)
Language: English
Date published: 10/05/2020
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Pulmonary, Critical Care, and Occupational Medicine; ICTS; Internal Medicine
Record Identifier: 9984196971002771

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