Developing a deformable model of liver tumor during breathing to improve targeting accuracy in image-guided therapy using finite element simulation
| Autor: | Mahdi Moghimi Zand, Z Matin, Mehdi Salmani Tehrani |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Image-Guided Therapy
Liver tumor Computer science General Engineering Stiffness 020101 civil engineering 02 engineering and technology Deformation (meteorology) medicine.disease 0201 civil engineering Finite element simulation Position (vector) Breathing medicine medicine.symptom Biomedical engineering Computer technology |
| Zdroj: | Scientia Iranica. |
| ISSN: | 2345-3605 |
| DOI: | 10.24200/sci.2019.51926.2427 |
| Popis: | New advances in computer technology for biomechanical numerical modeling of human body are the basis for the improvement of targeting accuracy. This is especially important for guiding surgeons during interventional procedures and locating of liver tumor for radiotherapy. This paper deals with investigating the motion and deformation of a tumor, embedded into liver, during respiration. Here, a 3D FE model of human liver as a whole is developed to simulate liver behavior during respiration. First, the cloud of point according to CT image data was imported into CATIA software. Then a spherical tumor was embedded into the different segments of liver tissue in ABAQUS. A quasi-linear hyperviscoelastic constitutive model and an elastic behavior were used to define the liver and tumor properties, respectively. Boundary conditions were defined based on the difference between end-exhale and end-inhale states of liver tissue. Deformation and motion of liver tumor was then determined at intermediate states of breathing. Finally, the new position and the deformed shape of the tumor were investigated, considering the increase of tumor stiffness. The results show that if the tumor is located in the segment VII, then maximum displacement in the y-direction is observed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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