4D laryngeal CT validation

Data set of inter-arytenoid distance (IAD) measurements collected for the purposes of validating an automated image analysis algorithm. The algorithm consists of a machine learning module which is capable of measuring the 'inter-arytenoid distance' in 4-dimensional dynamic laryngeal CT images. The data set includes 8 participants with Parkinson's disease (pwPD) of varying disease durations and severities, and 4 healthy controls. All data was measured by the same investigator to eliminate inter-observer variability. During a continuous CT acquisition scanning period of 5 seconds, participants were instructed to produce five short phonations of /i/ quickly and clearly. Images were re-constructed to produce continuous multiplanar images of the larynx at 100ms per frame. The data set includes the following measurements: 1. mIAD: Manual IAD measurements derived by manually placing a fiducial marker on the most medial aspect of the left and right arytenoid cartilages and calculating the Euclidean distance between them. 2. aIAD: Automated IAD measurements derived by the automated image analysis algorithm. The algorithm would compute the distance between the arytenoid cartilages on every axial slice at every timepoint, with the minimum distance chosen as the IAD. 3. sIAD: 'Same-slice' IAD measurements derived by the automated image analysis algorithm on the same axial slice from which the investigator calculated the mIAD.