FEM simulation of breast deformation with semi-fluid representation.

Autor: Takahashi S; Degree Programs in System and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan., Fujimoto H; Department of General Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana Chuo-ku, Chiba City, Chiba, 260-0856, Japan., Nasu K; Comprehensive Radiology Center, Chiba University Hospital, 1-8-1 Inohana Chuo-ku, Chiba City, Chiba, 266-8677, Japan., Nakaguchi T; Center for Frontier Medical Engineering, Chiba University, 1-33 Yayoi Cho Inage Ku, Chiba City, Chiba, 263-8522, Japan., Ienaga N; Institute of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan., Kuroda Y; Institute of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan. kuroda@iit.tsukuba.ac.jp.

Publikováno v: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Dec 16. Date of Electronic Publication: 2024 Dec 16.

Predicting the effect of bra pad specifications on breast deformation during jumping using a finite element method

Autor: Liu, Shiyuan, Sun, Guangwu, Zuo, Hongfen, Chen, Xiaona, Shang, Shanshan, Hu, Hongyan

Publikováno v: International Journal of Clothing Science and Technology, 2023, Vol. 35, Issue 5, pp. 779-798.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJCST-02-2023-0009

Validation of FEA-based breast deformation simulation using an artificial neural network

Autor: Wang, Kuocheng, Kesavadas, Thenkurussi

Publikováno v: In Informatics in Medicine Unlocked 2022 32

Breast deformation during the course of radiotherapy: The need for an additional outer margin

Autor: Seppälä, J., Vuolukka, K., Virén, T., Heikkilä, J., Honkanen, J.T.J., Pandey, A., Al-Gburi, A., Shah, M., Sefa, S., Koivumäki, T.

Publikováno v: In Physica Medica September 2019 65:1-5

Real-Time FEA-based breast deformation simulation using artificial neural network

Autor: Kuocheng Wang, Thenkurussi Kesavadas

Publikováno v: Computer Methods and Programs in Biomedicine Update, Vol 2, Iss , Pp 100052- (2022)

Background and objective: Treatment of breast cancer involves two stages: diagnosis and treatment. It is difficult to correlate the imaging results at the two stages because as the patient’s position changes during treatment, the images captured du

Externí odkaz: https://doaj.org/article/3d0d6bd2e4694d53857f477f37081144