Automated extraction of pleural effusion in three-dimensional thoracic CT images

Shoji Kido M.D.; Akinori Tsunomori

doi:10.1117/12.810559

27 February 2009 Automated extraction of pleural effusion in three-dimensional thoracic CT images

Shoji Kido M.D., Akinori Tsunomori

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72600D (2009) https://doi.org/10.1117/12.810559
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

It is important for diagnosis of pulmonary diseases to measure volume of accumulating pleural effusion in threedimensional thoracic CT images quantitatively. However, automated extraction of pulmonary effusion correctly is difficult. Conventional extraction algorithm using a gray-level based threshold can not extract pleural effusion from thoracic wall or mediastinum correctly, because density of pleural effusion in CT images is similar to those of thoracic wall or mediastinum. So, we have developed an automated extraction method of pulmonary effusion by use of extracting lung area with pleural effusion. Our method used a template of lung obtained from a normal lung for segmentation of lungs with pleural effusions. Registration process consisted of two steps. First step was a global matching processing between normal and abnormal lungs of organs such as bronchi, bones (ribs, sternum and vertebrae) and upper surfaces of livers which were extracted using a region-growing algorithm. Second step was a local matching processing between normal and abnormal lungs which were deformed by the parameter obtained from the global matching processing. Finally, we segmented a lung with pleural effusion by use of the template which was deformed by two parameters obtained from the global matching processing and the local matching processing. We compared our method with a conventional extraction method using a gray-level based threshold and two published methods. The extraction rates of pleural effusions obtained from our method were much higher than those obtained from other methods. Automated extraction method of pulmonary effusion by use of extracting lung area with pleural effusion is promising for diagnosis of pulmonary diseases by providing quantitative volume of accumulating pleural effusion.

Citation Download Citation

Shoji Kido M.D. and Akinori Tsunomori "Automated extraction of pleural effusion in three-dimensional thoracic CT images", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600D (27 February 2009); https://doi.org/10.1117/12.810559

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