Purpose Radiation pneumonitis remains a major limitation in the radiation therapy treatment
of patients with lung cancer. Functional avoidance radiation therapy uses functional imaging …

Purpose Computed tomography (CT)‐derived ventilation methods compute respiratory
induced volume changes as a surrogate for pulmonary ventilation. Currently, there are no …

Purpose. To develop and evaluate the performance of a deep learning model to generate
synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing …

Computed tomography (CT) ventilation algorithms estimate volume changes induced by
respiratory motion. Existing Hounsfield Unit (HU) methods approximate volume change from …

Purpose The computed tomography (CT)‐derived ventilation imaging methodology employs
deformable image registration (DIR) to recover respiratory motion‐induced volume changes …

Presented in this work is an investigation of the application of artificially intelligent
algorithms, namely deep learning, to generate segmentations for the application in …

Coronal images from thin-section CT, quantitative lung function (QLF) imaging, and
pulmonary blood mass (PBM) imaging in a patient with idiopathic pulmonary fibrosis at …

Purpose Limited diagnostic options exist for patients with suspected pulmonary embolism
(PE) who cannot undergo CT-angiogram (CTA). CT-ventilation methods recover respiratory …

Here we present an imaging technique for measuring regional gas uptake in a free-
breathing mouse non-invasively. Gas-and dissolved-phase images were acquired …

We propose a mathematical approach to reduce irregular artifacts in 4d ct images by fitting
the generated displacement vector field (dvfs) from deformable image registration (dir) in …