Publications by authors named "Tevel Amiel"
Article Synopsis
- The study aimed to create an automatic algorithm for detecting and classifying ductopenia in parotid glands, which is linked to salivary gland impairment, using sialo cone-beam CT (sialo-CBCT) images.
- The research involved an automated pipeline with three steps: computing regions of interest (ROIs), segmenting the parotid gland using a Frangi filter, and classifying ductopenia severity with a residual neural network (RNN) enhanced by maximum intensity projection (MIP) images.
- Evaluation of the algorithm on 126 scans showed excellent accuracy in ROI computation (100%) and gland segmentation (89%), with significant improvements in the detection of ductopenia severity, indicating its potential
Article Synopsis
- Cone-Beam Computed Tomography-Sialography (Sialo-CBCT) is a technique used to analyze the structure of salivary ducts, specifically focusing on the anatomical details of Normal-Appearing Glands (NAGs) in the parotid glands.
- A retrospective study involving 14 scans from 11 patients with salivary gland issues revealed that the main duct tends to narrow progressively, with average widths measured at the proximal, middle, and distal portions being 1.39 mm, 1.15 mm, and 0.98 mm, respectively.
- The study found that tertiary ducts were more numerous but narrower than secondary ducts, providing essential insights that can help clinicians in diagnosing