Pleural effusion segmentation in thin-slice CT

Rory Donohue; Andrew Shearer; John Bruzzi; Huma Khosa

doi:10.1117/12.811879

27 March 2009 Pleural effusion segmentation in thin-slice CT

Rory Donohue, Andrew Shearer, John Bruzzi, Huma Khosa

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72593I (2009) https://doi.org/10.1117/12.811879
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

A pleural effusion is excess fluid that collects in the pleural cavity, the fluid-filled space that surrounds the lungs. Surplus amounts of such fluid can impair breathing by limiting the expansion of the lungs during inhalation. Measuring the fluid volume is indicative of the effectiveness of any treatment but, due to the similarity to surround regions, fragments of collapsed lung present and topological changes; accurate quantification of the effusion volume is a difficult imaging problem. A novel code is presented which performs conditional region growth to accurately segment the effusion shape across a dataset. We demonstrate the applicability of our technique in the segmentation of pleural effusion and pulmonary masses.

Citation Download Citation

Rory Donohue, Andrew Shearer, John Bruzzi, and Huma Khosa "Pleural effusion segmentation in thin-slice CT", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72593I (27 March 2009); https://doi.org/10.1117/12.811879

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