Tracking of tumor motion in lung cancer using patient specific finite element modeling and 4D-MRI image data

• Main Authors: Teo, Soo-Kng, Yang, Yuxin, Reeth, Eric Van, He, Shuai, Chua, Peijun, Poh, Chueh Loo
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Chemical engineering::Biochemical engineering
• Online Access: https://hdl.handle.net/10356/107229; http://hdl.handle.net/10220/18026; http://dx.doi.org/10.2316/P.2013.791-153
• Institution: Nanyang Technological University

This paper presents a study that demonstrates the potential of using finite element (FE) lung model constructed using 4D-MRI (3D + time) for tracking tumor motion during a respiratory cycle. A series of volumetric images of one lung cancer patient was acquired over time under free breathing and sort...