Automated segmentation of mucosal change in rhinosinusitis patients

William F. Sensakovic; Jayant M. Pinto; Faud M. Baroody; Adam Starkey; Samuel G. Armato III

doi:10.1117/12.844282

9 March 2010 Automated segmentation of mucosal change in rhinosinusitis patients

William F. Sensakovic, Jayant M. Pinto, Faud M. Baroody, Adam Starkey, Samuel G. Armato III

Author Affiliations +

Proceedings Volume 7624, Medical Imaging 2010: Computer-Aided Diagnosis; 76243N (2010) https://doi.org/10.1117/12.844282
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Rhinosinusitis is a sinonasal disease affecting 16% of the population. Volumetric segmentation can provide objective data that is useful when determining stage and therapeutic response. An automated volumetric segmentation method was developed and tested. Four patients underwent baseline and follow-up CT scans. For each patient, five sections were outlined by two otolaryngologists and the automated method. The median Dice coefficient between otolaryngologists was 0.74. The otolaryngologist and automated segmentations demonstrated acceptable agreement with a median Dice coefficient of 0.61. This automated method represents the first step in the creation of a computerized system for the quantitative 3D analysis of rhinosinusitis.

Citation Download Citation

William F. Sensakovic, Jayant M. Pinto, Faud M. Baroody, Adam Starkey, and Samuel G. Armato III "Automated segmentation of mucosal change in rhinosinusitis patients", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76243N (9 March 2010); https://doi.org/10.1117/12.844282

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