Abstract
Lung field extraction has received considerable attention during the last four decades. Because, this is one of the important step in radiologic pulmonary image analysis. Various methods have been developed for accurate lung extraction. However, those methods work well for homogenous regions but often get failed to detect diffused regions. Here, the proposed algorithm is evaluated on Lung Tissue Research Consortium (LTRC) to include homogenous and injured diffused regions. Automated methods for segmenting several anatomical structures in chest CT images are also proposed: namely thorax extraction, large airway elimination, lung identification and boundary correction. Proposed approach is compared and validated with the existing Region-based Level Set Method (RbLSM).
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Vishraj, R., Gupta, S., Singh, S. (2019). Correction of Segmented Lung Boundary for Inclusion of Injured Diffused Regions from Chest HRCT Images. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_45
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