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Information Journal Paper

Title

INTRATHORACIC AIRWAY TREE SEGMENTATION FROM CT IMAGES USING A FUZZY CONNECTIVITY METHOD

Pages

  71-83

Abstract

 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 the FCM algorithm. Then, hanging-togetherness of pixels was handled by employing a spatial membership function. Another problem in airway segmentation that had to be overcome was the leakage into the extra-luminal regions due to the thinness of the airway walls during the process of segmentation. Results: The result shows an accuracy of 92.92% obtained for segmentation of the airway tree up to the fourth generation. Conclusion: We have presented a new segmentation method that is not only robust regarding the leakage problem but also functions more efficiently than the traditional FC method.

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    APA: Copy

    YOUSEFI RIZI, F., AHMADIAN, A.R., FATEMIZADEH, E.A.D., ALI REZAEI, J., & REZAEI, NADER. (2009). INTRATHORACIC AIRWAY TREE SEGMENTATION FROM CT IMAGES USING A FUZZY CONNECTIVITY METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS, 6(1 (22)), 71-83. SID. https://sid.ir/paper/96941/en

    Vancouver: Copy

    YOUSEFI RIZI F., AHMADIAN A.R., FATEMIZADEH E.A.D., ALI REZAEI J., REZAEI NADER. INTRATHORACIC AIRWAY TREE SEGMENTATION FROM CT IMAGES USING A FUZZY CONNECTIVITY METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2009;6(1 (22)):71-83. Available from: https://sid.ir/paper/96941/en

    IEEE: Copy

    F. YOUSEFI RIZI, A.R. AHMADIAN, E.A.D. FATEMIZADEH, J. ALI REZAEI, and NADER REZAEI, “INTRATHORACIC AIRWAY TREE SEGMENTATION FROM CT IMAGES USING A FUZZY CONNECTIVITY METHOD,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 6, no. 1 (22), pp. 71–83, 2009, [Online]. Available: https://sid.ir/paper/96941/en

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