The inherent characteristics of lung tissues, which are independent of breathing manoeuvre,
may provide fundamental information on lung function. This paper attempted to study …

Purpose: The inherent characteristics of lung tissue independent of breathing maneuvers
may provide fundamental information for function assessment. This paper attempted to …

Purpose: While image features extracted from CT images are of great importance in aiding
diagnosis and personalizing therapy planning for lung cancer patients, they may highly …

Purpose To develop a radiomics filtering technique for characterizing spatial‐encoded
regional pulmonary ventilation information on lung computed tomography (CT). Methods …

Dr Fain is professor and director of the Pulmonary and Metabolic Imaging Center at the
University of Wisconsin–Madison and is an expert in lung imaging with MRI and multi …

Texture analysis for lung lesions is sensitive to changing imaging conditions but these
effects are not well understood, in part, due to a lack of ground-truth phantoms with realistic …

Since several lung diseases can be potentially diagnosed based on the patterns of lung
tissue observed in medical images, automated texture classification can be useful in …

Normal lung CT texture features have been used for the prediction of radiation-induced lung
disease (RILD). For these features to be clinically useful, they should be robust to tumor size …

Contemporary medical imaging is becoming increasingly more quantitative. The emerging
field of radiomics is a leading example. By translating unstructured data (ie, images) into …

The textural patterns in the lung parenchyma, as visible on computed tomography (CT)
scans, are essential to make a correct diagnosis in interstitial lung disease. We developed …