PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI
Journal:
arXiv
Published Date:
Jan 24, 2025
Abstract
Chronic rhinosinusitis (CRS) is a common and persistent sinus imflammation
that affects 5 - 12\% of the general population. It significantly impacts
quality of life and is often difficult to assess due to its subjective nature
in clinical evaluation. We introduce PARASIDE, an automatic tool for segmenting
air and soft tissue volumes of the structures of the sinus maxillaris,
frontalis, sphenodalis and ethmoidalis in T1 MRI. By utilizing that
segmentation, we can quantify feature relations that have been observed only
manually and subjectively before. We performed an exemplary study and showed
both volume and intensity relations between structures and radiology reports.
While the soft tissue segmentation is good, the automated annotations of the
air volumes are excellent. The average intensity over air structures are
consistently below those of the soft tissues, close to perfect separability.
Healthy subjects exhibit lower soft tissue volumes and lower intensities. Our
developed system is the first automated whole nasal segmentation of 16
structures, and capable of calculating medical relevant features such as the
Lund-Mackay score.
