Literature DB >> 19204452

Computer-aided measurements of pulmonary emphysema in chest multidetector-row spiral computed tomography: effect of image reconstruction parameters.

Florian F Behrendt1, Marco Das, Andreas H Mahnken, Thomas Kraus, Annemarie Bakai, Sven Stanzel, Rolf W Günther, Joachim E Wildberger.   

Abstract

OBJECTIVE: To evaluate the effect of different image reconstruction parameters on quantitative automated measurements of pulmonary emphysema in chest multidetector-row spiral computed tomography.
MATERIALS AND METHODS: Thirty patients with known emphysema underwent multidetector-row spiral computed tomography. Retrospective reconstruction with a soft tissue kernel (Siemens B20 at 1-mm, 2-mm, and 3-mm slices) and 4 alternative kernel grades (from smooth to sharp: Siemens B30, B40, B50, B60 at 1-mm slices) was performed. Total lung volume, emphysema volume (EV), 15th percentile density, and 4 EV clusters were quantified. Results were compared with those of standard algorithm B20/1-mm slices.
RESULTS: Differences in total lung volume were less than 0.2%. Alternative kernel grades resulted in a significantly increased average EV. The 15th percentile density showed a significant average difference for all alternative algorithms. The large emphysema cluster showed a significant change for reconstruction algorithms B50, B60, B20/2 mm and B20/3 mm.
CONCLUSIONS: Pulmonary EV is significantly affected by different reconstruction algorithms.

Entities:  

Mesh:

Year:  2008        PMID: 19204452     DOI: 10.1097/RCT.0b013e31815ade64

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  4 in total

1.  Improved CT-based estimate of pulmonary gas trapping accounting for scanner and lung-volume variations in a multicenter asthmatic study.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Mario Castro; Ching-Long Lin
Journal:  J Appl Physiol (1985)       Date:  2014-08-07

2.  Repeatability and Sample Size Assessment Associated with Computed Tomography-Based Lung Density Metrics.

Authors:  Krishna S Iyer; Randall W Grout; Gideon K Zamba; Eric A Hoffman
Journal:  Chronic Obstr Pulm Dis       Date:  2014

3.  Applicability of color-coded computed tomography images in lung volume reduction surgery planning.

Authors:  Urs J Muehlematter; Claudio Caviezel; Katharina Martini; Michael Messerli; Kerstin N Vokinger; Iris R Wetzler; Michaela Tutic-Horn; Walter Weder; Thomas Frauenfelder
Journal:  J Thorac Dis       Date:  2019-03       Impact factor: 2.895

4.  CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Authors:  Sang Min Lee; June Goo Lee; Gaeun Lee; Jooae Choe; Kyung Hyun Do; Namkug Kim; Joon Beom Seo
Journal:  Korean J Radiol       Date:  2019-02       Impact factor: 3.500

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.