Purpose: A novel technique is proposed to characterize lung tissue incompressibility
variation during respiration. Estimating lung tissue incompressibility parameter variations …

Lung cancer is the most common cause of cancer-related death in both men and women.
Radiation therapy is widely used for lung cancer treatment; however, respiratory motion …

Lung Cancer is the leading cause of cancer death in both men and women. Among various
treatment methods currently being used in the clinic, External Beam Radiation Therapy …

Lung radiotherapy is greatly benefitted when the tumor motion caused by breathing can be
modeled. The aim of this paper is to present the importance of using anisotropic and subject …

Radiation treatment requires high accuracy to protect healthy organs and destroy the tumor.
However, tumors located near the diaphragm constantly move during treatment. Respiration …

Prediction of respiratory motion has the potential to substantially improve cancer radiation
therapy. A nonlinear finite element (FE) model of respiratory motion during full breathing …

A biomechanical model is developed and validated for breathing-induced deformation of
human lung. Specifically, a subject-specific poro-elastic lung model is used to predict the …

Purpose: Predicting complex patterns of respiration can benefit the management of the
respiratory motion for radiation therapy of lung cancer. The purpose of the present work was …

The goal of this paper is to calculate a complex internal respiratory and tumoral movements
by measuring respiratory air flows and thorax movements. In this context, we present a new …

Purpose The authors have developed and evaluated a method to predict lung surface
motion based on spirometry measurements, and chest and abdomen motion at selected …