Fully automatic detection and quantification of emphysema on thin section MD-CT of the chest by a new and dedicated software

RöFo : Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
T AchenbachH-U Kauczor

Abstract

Introduction of a novel software tool (YACTA -- yet another CT analyzer) for detection and quantification of pulmonary emphysema in thin-slice chest MDCT data sets. Consisting of grey-level threshold-based algorithms (e. g., region-growing), expert rules and morphological image postprocessing YACTA segments the tracheobronchial tree prior to the detection and quantification of pulmonary emphysema. In addition to general parameters, such as the mean lung density (MLD) and the emphysema index (EI -- also described as pixel index PI), the previously described bullae index (BI) is transformed into a three-dimensional parameter for a morphological description of emphysema. A first evaluation of chest MDCT data sets of 11 patients was performed as well as a comparison of MLD, lung volume (LV), emphysema volume (EV) and PI calculated with two established commercial tools of Siemens Medical Solutions (Volume and Pulmo). Furthermore, the BI was calculated with YACTA. YACTA processed the image data without manual interaction and demonstrated more user-comfort than Volume and Pulmo software, which require manual correction especially for lung segmentation at the hilar regions to separate central airways from lung parenchyma. MLD, LV, and ...Continue Reading

Citations

Oct 25, 2016·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Orso PusterlaOliver Bieri
Nov 19, 2010·Journal of Computer Assisted Tomography·Alexander McGregorClaus Peter Heussel
Jun 17, 2006·Journal of Computer Assisted Tomography·Julia ZaporozhanHans-Ulrich Kauczor
Jul 6, 2020·Der Radiologe·A BischoffM O Wielpütz
Dec 10, 2020·Arquivos brasileiros de cardiologia·Leonardo SorianoCarlos Henrique Miranda
Dec 15, 2020·ERJ Open Research·Volker H SchmittChristoph Brochhausen

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