Crowdsourcing airway annotations in chest computed tomography images

Early Experiences with Crowdsourcing Airway Annotations in Chest CT

Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets of annotated data to perform well. We investigate whether crowdsourcing can be used to gather airway annotations which can serve directly for measuring the a...

Dose Reduction Methods in Chest Computed Tomography

Introduction: Computed tomography is one of the most powerful tools for investigating thorax disease, because it shows progression of lung disease much clearer than chest radiography. Technical advances in CT scanners have led to some abilities for CT scanners such as coverage of larger volume, lower noise and ability for acquiring image in one respiratory phase. However, this will be accompani...

Prevalence of Idiopathic Osteosclerosis on Cone Beam Computed Tomography Images

Objectives: This study was performed to investigate the prevalence of idiopathic osteosclerosis on cone beam computed tomography (CBCT) images of patients. Methods: In this descriptive, cross-sectional study, 240 CBCT scans of patients (125 women, 115 men) referred to a private oral and maxillofacial radiology clinic in Tehran in 2013 were selected and evaluated. Presence of idiopathic osteosc...

Evaluation of neurovascular anatomical variations in maxillary anterior region in cone beam computed tomography images

Introduction: Incisive foramen in the maxilla is the oral terminus of the nasopalatine canal. This region is important in implantology, Therefore, the aim of this study was to investigate the  neurovascular anatomical variations in the maxillary anterior region, observed on cone beam computed tomography (CBCT) images. Materials &Methods: In this cross-sectional study, maxillary CBCT ima...

Extraction of Airway in Computed Tomography