Moment Methods for the 3D Radiative Transfer Equation Based on $\varphi$-Divergences

Autor: Abdelmalik, Michael R. A., Cai, Zhenning, Pichard, Teddy

The method of moments is widely used for the reduction of kinetic equations into fluid models. It consists in extracting the moments of the kinetic equation with respect to a velocity variable, but the resulting system is a priori underdetermined and

Externí odkaz: http://arxiv.org/abs/2304.01758

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Integrating quantitative imaging and computational modeling to predict the spatiotemporal distribution of ¹⁸⁶Re nanoliposomes for recurrent glioblastoma treatment.

Autor: Woodall, Ryan T., Hormuth II, David A., Abdelmalik, Michael R. A., Wu, Chengyue, Feng, Xinzeng, Phillips, William T., Bao, Ande, Hughes, Thomas J. R., Brennerh, Andrew J., Yankeelov, Thomas E.

Publikováno v: Proceedings of SPIE; 1/11/2019, Vol. 10948, p109483M-1-109483M-13, 13p

Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.

Autor: Wu C; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA; Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA; Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. Electronic address: CWu19@mdanderson.org., Hormuth DA 2nd; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, 78712, USA., Christenson CD; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA., Woodall RT; Division of Mathematical Oncology, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Rd, Duarte, CA, 91010, USA., Abdelmalik MRA; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands., Phillips WT; Department of Radiology, UT Health San Antonio, San Antonio, TX, 78229, USA., Hughes TJR; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX, 78712, USA., Brenner AJ; Mays Cancer Center, UT Health San Antonio, San Antonio, TX, 78229, USA., Yankeelov TE; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Oncology, The University of Texas at Austin, Austin, TX, 78712, USA; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Sep; Vol. 179, pp. 108889. Date of Electronic Publication: 2024 Jul 19.