STUDY THE EFFECT OF THE PERSONALIZED LUNG COMPLIANCE ON LUNG TUMOR MOTION FOR RADIATION THERAPY

被引：0
作者：
Ladjal, Hamid [1 ]
Desseree, Elodie [1 ]
Shariat, Behzad [1 ]
机构：
[1] Univ Claude Bernard Lyon 1, LIRIS Lab, CNRS, UMR 5205, F-69622 Lyon, France
来源：
IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024 | 2024年
关键词：
Lung compliance; Biomechanical modeling; respiratory motion; radiation therapy; DEFORMABLE IMAGE REGISTRATION; BIOMECHANICAL MODEL;
D O I：
10.1109/ISBI56570.2024.10635291
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we have investigated the impact of the personalized physiological lung pressure/volume relationship (compliance) and its comparison with a linear pressure/volume function for lung tumor motion estimation. Using biomechanical model, this comparison has been carried out on five selected patients from DIR-Lab data set, with small and large breathing amplitudes (P1=10.9 mm, P4=18.1 mm, P6=27.2 mm, P9=15.5 mm and P10=26.06mm). We have compared the finite element simulation results with ground truth (4D CT images) at each intermediate respiratory state (10 phases). The results show that the use of personalized lung compliance provides more accuracy and gives better results when comparing with linear compliance. This could help radiation oncologists and medical physicians to better adjust the radiation treatment and to reduce the safety margins used to prevent normal tissues damages for radiation therapy.
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