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Methodology

  • Joey Sing Yee TanEmail author
  • Amandeep S. Sidhu
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 832)

Abstract

In this research, the proposed research methodology comprising of the following elements: (a) Mass Spring Model (MSM)—to model human liver as a collection of mass points linked by a network of springs, (b) Knowledge-based Fuzzy MSM Parameters Controller (FMPC)—to obtain the corresponding stiffness coefficients regarding different liver illnesses, (c) Utilization of Computer Unified Architecture (CUDA)—to utilize as a platform or framework for GPU and CPU distribution of computational works.

References

  1. Basafa, E., & Farahmand, F. (2011). Real-time simulation of the nonlinear visco-elastic deformations of soft tissues. International Journal of Computer Assisted Radiology and Surgery, 6, 297–307.CrossRefGoogle Scholar
  2. Kerdok, A. E. (2006). Characterizing the nonlinear mechanical response of liver to surgical manipulation. Dissertation for Degree of Doctor of Philosophy. Massachusetts: Harvard University.Google Scholar
  3. CUDA, C. (2013). Programming Guide v5. 5. NVIDIA Corporation, July. https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Complexity InstituteNanyang Technological UniversitySingaporeSingapore
  2. 2.Biological Mapping Research Institute (BIOMAP)PerthAustralia

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