Open AccessEvaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods
Author(s) -
Zhang Geoffrey G.,
Latifi Kujtim,
Du Kaifang,
Reinhardt Joseph M.,
Christensen Gary E.,
Ding Kai,
Feygelman Vladimir,
Moros Eduardo G.
Publication year - 2016
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1120/jacmp.v17i2.5985
Subject(s) - ventilation (architecture) , hounsfield scale , nuclear medicine , mathematics , correlation coefficient , image registration , materials science , medicine , statistics , computed tomography , computer science , physics , radiology , image (mathematics) , artificial intelligence , thermodynamics
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