An automated airway segmentation algorithm for CT images using topological leakage detection and volume freezing

2018 ◽  
Author(s):  
Syed Ahmed Nadeem ◽  
Eric A. Hoffman ◽  
Punam K. Saha
Keyword(s):  
Ct Images ◽  
Segmentation Algorithm ◽  
Leakage Detection ◽  
Airway Segmentation

scholarly journals Optimizing parameters of an open-source airway segmentation algorithm using different CT images

2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Pietro Nardelli ◽  
Kashif A Khan ◽  
Alberto Corvò ◽  
Niamh Moore ◽  
Mary J Murphy ◽  
...  
Keyword(s):  
Open Source ◽  
Ct Images ◽  
Segmentation Algorithm ◽  
Airway Segmentation

Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs

2016 ◽  
pp. 395-407 ◽  
Author(s):  
Duván Alberto Gómez Betancur ◽  
Anna Fabijańska ◽  
Leonardo Flórez-Valencia ◽  
Alfredo Morales Pinzón ◽  
Eduardo Enrique Dávila Serrano ◽  
...  
Keyword(s):  
Ct Images ◽  
3D Ct ◽  
Airway Segmentation

CT Images Segmentation Based on Dynamic Relative Fuzzy Region Growing Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 4233-4236
Author(s):  
Zhen You Zhang ◽  
Guo Huan Lou
Keyword(s):  
Confidence Interval ◽  
Region Growing ◽  
Ct Images ◽  
Segmentation Algorithm ◽  
Experimental Results ◽  
Segmentation Result ◽  
Ct Image ◽  
Initial Segmentation ◽  
Fuzzy Region

Segmentation algorithm of CT Image is discussed in this paper. Dynamic relative fuzzy region growing algorithm is used for CT. At the beginning of the segmentation, the confidence interval region growing algorithm is used. The overlapping parts in the initial segmentation result is segmented again with the improved fuzzy connected, and then determine which region the overlapping parts belong to. Thus, the final segmentation result can be obtained. Since the algorithm contains the advantages of region growing algorithm, fuzzy connected algorithm and the region competition, the runtime of segmentation is greatly reduced and better experimental results are obtained.

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