Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods

Geoffrey G Zhang; Kujtim Latifi; Kaifang Du; Joseph M Reinhardt; Gary E Christensen; Kai Ding; Vladimir Feygelman; Eduardo G Moros

doi:10.1120/jacmp.v17i2.5985

Back

Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods

Journal article

Open access

Peer reviewed

Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods

Geoffrey G Zhang, Kujtim Latifi, Kaifang Du, Joseph M Reinhardt, Gary E Christensen, Kai Ding, Vladimir Feygelman and Eduardo G Moros

Journal of applied clinical medical physics, Vol.17(2), pp.550-560

03/2016

DOI: 10.1120/jacmp.v17i2.5985

PMCID: PMC5874808

PMID: 27074479

Files and links (1)

url

https://doi.org/10.1120/jacmp.v17i2.5985View

Published (Version of record) Open Access

Abstract

Ventilation distribution calculation using 4D CT has shown promising potential in several clinical applications. This study evaluated the direct geometric ventilation calculation method, namely the ΔV method, with xenon‐enhanced CT (XeCT) ventilation data from four sheep, and compared it with two other published methods, the Jacobian and the Hounsfield unit (HU) methods. Spearman correlation coefficient (SCC) and Dice similarity coefficient (DSC) were used for the evaluation and comparison. The average SCC with one standard deviation was 0.44 ± 0.13 with a range between 0.29 and 0.61 between the XeCT and DLV ventilation distributions. The average DSC value for lower 30% ventilation volumes between the XeCT and ΔV ventilation distributions was 0.55 ± 0.07 with a range between 0.48 and 0.63. Ventilation difference introduced by deformable image registration errors improved with smoothing. In conclusion, ventilation distributions generated using ΔV‐4D CT and deformable image registration are in reasonably agreement with the in vivo XeCT measured ventilation distribution. PACS number(s): 87.57.N‐, 87.57.nj , 87.57.Q‐, 87.85.Pq

4D CT

deformable image registration

evaluation

Medical Imaging

ventilation distribution

XeCT

Details

Title: Subtitle: Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods
Creators: Geoffrey G Zhang - Moffitt Cancer Center
Kujtim Latifi - Moffitt Cancer Center
Kaifang Du - University of Wisconsin–Madison
Joseph M Reinhardt - University of Iowa
Gary E Christensen - University of Iowa
Kai Ding - Johns Hopkins University
Vladimir Feygelman - Moffitt Cancer Center
Eduardo G Moros - Moffitt Cancer Center
Resource Type: Journal article
Publication Details: Journal of applied clinical medical physics, Vol.17(2), pp.550-560
DOI: 10.1120/jacmp.v17i2.5985
PMID: 27074479
PMCID: PMC5874808
NLM abbreviation: J Appl Clin Med Phys
ISSN: 1526-9914
eISSN: 1526-9914
Publisher: John Wiley and Sons Inc
Language: English
Date published: 03/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
Record Identifier: 9984197003602771

Metrics

14 Record Views

12 Times Cited - Web of Science