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

Computed tomography perfusion (CTP) is a functional imaging that allows for providing
capillary-level hemodynamics information of the desired tissue in clinics. In this paper, we …

Purpose Deep learning model has shown the feasibility of providing spatial lung perfusion
information based on CT images. However, the performance of this method on lung cancer …

Vessel segmentation in the lung is an ongoing challenge. While many methods have been
able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the …

Purpose To determine whether functional lung avoidance based on 3 He magnetic
resonance imaging (MRI) improves quality of life (QOL) for patients undergoing concurrent …

Radiation-induced lung injury remains a significant toxicity in thoracic radiotherapy.
Because a precise diagnosis is difficult and commonly used assessment scales are unclear …

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

Computed tomography (CT) anatomic images of the lungs are routinely utilised in the clinic
for the diagnosis, treatment planning, monitoring and treatment assessment of patients with …