Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region Growing
نویسندگان
چکیده
In this paper a new approach to CT based investigation of pulmonary airways is introduced. Especially a new fully automated algorithm for airway tree segmentation is proposed. The algorithm is based on 3D seeded region growing. However in opposite to traditional approaches region growing is applied twice: firstly – for detecting main bronchi, secondly – for localizing low order parts of the airway tree. The growth of distal parts of the airway tree is driven by a map constructed at the basis of morphological gradient.
منابع مشابه
Results of Applying Two-Pass Region Growing Algorithm for Airway Tree Segmentation to MDCT Chest Scans from EXACT Database
This paper addresses problem of CT based investigation of pulmonary airways. Especially algorithm for airway tree segmentation is introduced. The algorithm is based on 3D seeded region growing. In the proposed method region growing is repeated twice with different settings. First, in order to avoid leakages into the lungs, algorithm is performed with very strict criteria. Next it works only in ...
متن کاملSegmentation of the Airway Tree from Chest CT using Local Volume of Interest
Lung diseases such as COPD and asthma affect airway morphology. Automated segmentation is an essential first step toward the analysis of airways. We propose a fully-automated algorithm to segment the airway tree from chest CT scans. The proposed algorithm requires no manual intervention and uses a 3D region growing based method and allows for accurate detection of leakage by growing regions wit...
متن کاملMultiscale Vessel-guided Airway Tree Segmentation
This paper presents a method for airway tree segmentation that uses a combination of a trained airway appearance model, vessel and airway orientation information, and region growing. The method uses a voxel classification based appearance model, which involves the use of a classifier that is trained to differentiate between airway and non-airway voxels. Vessel and airway orientation information...
متن کاملIntrathoracic Airway Tree Segmentation from CT Images Using a Fuzzy Connectivity Method
Introduction: Virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. The segmentation of airways from CT images is a critical step for numerous virtual bronchoscopy applications. Materials and Methods: To overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy C-mean (FC-FCM), utilized...
متن کاملAirway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow
Some lung diseases are related to bronchial airway structures and morphology. Although airway segmentation from chest CT volumes is an important task in the computer-aided diagnosis and surgery assistance systems for the chest, complete 3-D airway structure segmentation is a quite challenging task due to its complex tree-like structure. In this paper, we propose a new airway segmentation method...
متن کامل