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This work proposes the use of SALSA (A Simple Automatic Lung Segmentation Algorithm), a simple and fast algorithm for the segmentation of Computerized Tomography lung volumes. The algorithm is composed by the application of several simple image processing operations. The algorithm was tested on the database provided by LOLA11, a lung segmentation challenge that took part during the MICCAI 2011. The obtained results put SALSA’s accuracy rate very close to the accuracy rates of the methods on the top of the LOLA11 ranking. We are currently at the stage of developing the method for segmenting the lung lobes, a more challenging task.

SALSA – A Simple Automatic Lung Segmentation Algorithm