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Influence of exposure parameters and iterative reconstruction on automatic airway segmentation and analysis on MDCT-An ex vivo phantom study.

Authors :
Patricia Leutz-Schmidt
Oliver Weinheimer
Bertram J Jobst
Julien Dinkel
Jürgen Biederer
Hans-Ulrich Kauczor
Michael U Puderbach
Mark O Wielpütz
Source :
PLoS ONE, Vol 12, Iss 8, p e0182268 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

Abstract

To evaluate the influence of exposure parameters and raw-data-based iterative reconstruction (IR) on computer-aided segmentation and quantitative analysis of the tracheobronchial tree on multidetector computed tomography (MDCT).10 porcine heart-lung-explants were mounted inside a dedicated chest phantom. MDCT was performed at 120kV and 80kV with 120, 60, 30 and 12 mAs each. All scans were reconstructed with filtered back projection (FBP) or IR, resulting in a total of 160 datasets. The maximum number of detected airway segments, most peripheral airway generation detected, generation-specific airway wall thickness (WT), total diameter (TD) and normalized wall thickness (pi10) were compared.The number of detected airway segments decreased slightly with dose (324.8±118 at 120kV/120mAs vs. 288.9±130 at 80kV/30mAs with FBP, p

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
12
Issue :
8
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.9621caff77934be7ae641f7ea52ddf9c
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0182268