High Performance Visualization of Human Tumor Growth Software

Norma Alias *(University of Technology Malaysia)*

Siti Nur Hidayah Khalid

*(University of Technology Malaysia)*

Norfarizan Mohd Said

*(University of Technology Malaysia)*

Dolly, Tien Ching Sin

*(University of Technology Malaysia)*

Tau Ing Phang

*(University of Technology Malaysia)*

Abstract:

*The implementation of parallel algorithm for the simulation of human tumor growth is a new invention nowadays. The research emphasised on the grand challenge application of brain tumors growth. Based on the present knowledge of the properties of tumor, some mathematical models have been developed by researchers to quantify the proliferation and invasion dynamics of tumor within anatomically accurate heterogeneous human tissue. The human body is made up of many types of cells. Each type of the cells has special functions. Most of the cells in the body grow and then divide in an orderly way to form new cells as they are need to keep the body healthy and working properly. The cells will divide too often and without any order when they lose the ability to control their growth. The extra cells from a mass of tissue are called tumours. Brain cancer is the prevalent cancers in the world and they are leading causes of death from cancer. Mathematical modelling of biomedical phenomena (Murray, 2003) can be extremely helpful in analyzing factors that may contribute to the complexity intrinsic in insufficiently understood developmental process disease. Based on present knowledge of the properties of tumors, a mathematical model has been developed to quantify the proliferation and invasion dynamics of tumors within anatomically accurate heterogeneous human tissue. The implications of the model would be considerable interest to those interests in the study of other diseases for which medical imaging plays a part of the assessment of the disease (other cancer as well as developmental diseases). Breast cancer seems to be predominant among Chinese women with an incidence of 25 per 100000 population and Malay women with an incident of 16 per 100000 populations (Malaysia Medical Association internet site—http://www.mma.org.my/current_topic/woman.htm, March 2006). Breast cancer happens when cells in the breast begin to grow out of control and can then invade nearby tissue are called tumors. However, some tumors are not really cancerous because they cannot spread or threaten someone’s life. Medical ultrasound is essentially a means of producing visual images based on echoes that occur in acoustic interface. This echoes contains information that can be used t study the various breast tissues. A lesion is localized if its echo pattern is different from that of the surrounding medium. This project focuses on the implementation of parallel algorithm for the simulation of parabolic equation of human tumors growth. The platform for high performance computing of the parallel algorithms run on a distributed parallel computer system. Implementing parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer systems. The software system functions to enable a collection of heterogeneous computers to be used as synchronize and flexible concurrent computational resource. The mathematical modelling framework is presented and numerical results are carried out in a way to investigate some properties of the medical modality. The numerical finite-difference method is focused to design the discreatization of these partial differential equations. The result of finite difference approximation (explicit, Crank-Nicolson and fully implicit methods) will be presented graphically. The software will visualize and predict human tumor growth based on real time and previous time. Furthermore, it might be able to calculate the growth rate of cells and predict the death or survival time for brain tumor patient. Robustness and friendly to user are the main criteria of the software and it does accept input data from user. Graph that being visualize are multidimensional; 1D, 2D and 3D. Yet, this kind of product is not in the market. And if yes, there are built on sequential algorithm. Patient, doctors, scientists, engineers and forecast people are the target user of this user friendly product. Its computational platform is based on low cost supercomputer with open source technology LINUX using a distributed parallel computer systems. High performance computing is built on distributed parallel computer system. Algorithm that being used in solving partial differential equation for brain tumor growth is new instead of the high speed computation of mathematical simulation and can resolve large path or unlimited memory. The parallel performance measurement will be analyzed from the aspect of speedup, efficiency, effectiveness and temporal performance.*

Keywords:

*Parallel and Distributed Computing, Computing in Healthcare and Biosciences, Numerical Algorithms for CS&E*