Results of a multi-institutional phase 2 clinical trial for 4DCT-ventilation functional avoidance thoracic radiation therapy
Purpose Radiation pneumonitis remains a major limitation in the radiation therapy treatment
of patients with lung cancer. Functional avoidance radiation therapy uses functional imaging …
of patients with lung cancer. Functional avoidance radiation therapy uses functional imaging …
Basis and current state of computed tomography perfusion imaging: a review
D Zeng, C Zeng, Z Zeng, S Li, Z Deng… - Physics in Medicine …, 2022 - iopscience.iop.org
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 …
capillary-level hemodynamics information of the desired tissue in clinics. In this paper, we …
A transfer learning framework for deep learning-based CT-to-perfusion mapping on lung cancer patients
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 …
information based on CT images. However, the performance of this method on lung cancer …
[HTML][HTML] CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion
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 …
able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the …
Functional lung avoidance for individualized radiation therapy: Results of a double-masked, randomized controlled trial
Purpose To determine whether functional lung avoidance based on 3 He magnetic
resonance imaging (MRI) improves quality of life (QOL) for patients undergoing concurrent …
resonance imaging (MRI) improves quality of life (QOL) for patients undergoing concurrent …
Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer
M Konkol, M Bryl, M Fechner, K Matuszewski… - Journal of Personalized …, 2022 - mdpi.com
Radiation-induced lung injury remains a significant toxicity in thoracic radiotherapy.
Because a precise diagnosis is difficult and commonly used assessment scales are unclear …
Because a precise diagnosis is difficult and commonly used assessment scales are unclear …
Segmentation of Intracranial Structures from Noncontrast CT Images with Deep Learning
E Porter - 2022 - search.proquest.com
Presented in this work is an investigation of the application of artificially intelligent
algorithms, namely deep learning, to generate segmentations for the application in …
algorithms, namely deep learning, to generate segmentations for the application in …
Computed tomography ventilation imaging in lung cancer: theory, validation and application
BA Tahir - Detection Systems in Lung Cancer and Imaging …, 2022 - iopscience.iop.org
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 …
for the diagnosis, treatment planning, monitoring and treatment assessment of patients with …