Comparative analysis of segmentation techniques of airways on images of chest computed tomography

The study of pulmonary diseases and its treatments are significantly important, because most of the world population is affected by these diseases, which includes bronchial diseases such as asthma, bronchiectasis and bronchitis. The diagnosis of bronchial diseases is based in the conditions of the airways. Due to this fact, it is very important for the public health care to make and determine correct precocious diagnosis to detect real levels of pulmonary diseases, in which it has a great influence of accurate identification of the conditions of pulmonary airways. For that reason, the airway automatic segmentation is a fundamental step. This study evaluates algorithms based in local analysis of pulmonary densities, active contours and region growing to segment the pulmonary airway. In conclusion, we present satisfactory results for the airway automatic segmentation. Keywords-airways, segmentation, active contour method, region growing.

[1]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[2]  L Puybasset,et al.  A lung computed tomographic assessment of positive end-expiratory pressure-induced lung overdistension. , 1998, American journal of respiratory and critical care medicine.

[3]  E. Fatemizadeh,et al.  An optimization based approach embedded in a fuzzy connectivity algorithm for airway tree segmentation , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  T. Zrimec,et al.  Automatic detection of pulmonary arteries and assessment of bronchial dilatation in HRCT images of the lungs , 2005, 2005 ICSC Congress on Computational Intelligence Methods and Applications.

[5]  Paulo César Cortez,et al.  Automatic Segmentation and Measurement of the Lungs in healthy persons and in patients with Chronic Obstructive Pulmonary Disease in CT Images , 2007 .

[6]  Hugo Alejandro Vega Ortega,et al.  Discinesia ciliar primária: considerações sobre seis casos da síndrome de Kartagener , 2007 .

[7]  Georgia Freire Paiva Winkeler.  Efeitos agudos da administração de pressão positiva contínua em vias aéreas de modo não invasivo sobre o parênquima pulmonar de voluntários sadios nas posições supina e prona: alterações na tomografia computadorizada de alta resolução , 2006 .

[8]  J. Alirezaie,et al.  A Hybrid Fuzzy Based Algorithm for 3D Human Airway Segmentation , 2008, International Conferences on Biomedical and Bioinformatics Engineering.

[9]  Hisbello da Silva Campos,et al.  A asma e a DPOC na visão do pneumologista , 2009 .

[10]  John Hebert da Silva Félix.  Sistema de visão computacional para detecção e quantificação de enfisema pulmonar , 2007 .

[11]  Leila John Marques Steidle,et al.  Determinação do componente inflamatório das doenças das vias aéreas através do escarro induzido: utilização na prática clínica , 2008 .

[12]  Kensaku Mori,et al.  Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system , 2000, IEEE Transactions on Medical Imaging.

[13]  A. Basu,et al.  Airway Segmentation and Measurement in CT Images , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.