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• SUPPORT FOR MEDICAL DECISION-MAKING WHEN PLANNING THE LASER LITHOTRIPSY PROCEDURE

  А.V. Rudenko, М.А. Rudenko

  2024-05-28

  Abstract ▼

  When preparing for the laser lithotripsy procedure, choosing the parameters of the laser installation,
  the doctor considers many factors, such as the mass and density of concretions found in the kidney,
  the location of kidney stones, and the proximity of blood vessels. Another important parameter is the time
  of exposure to the stone with a laser beam before the stone is destroyed. At the same time, calculating the
  time of destruction of a stone is a rather time–consuming procedure, the time of destruction depends on
  the mass of the stone and the parameters of the laser energy and its frequency. Therefore, it is relevant to
  create a system to support medical decision-making during the laser lithotripsy procedure, which allows
  you to calculate the time of stone destruction and select the values of laser parameters. The article proposes
  an algorithm to support the choice of the laser operating mode by a urologist during the laser lithotripsy
  procedure in the treatment of human urolithiasis, which is part of the medical decision support system
  in surgery and urology using computer vision technologies. The proposed algorithm for fuzzy estimation
  of laser parameters when choosing its operating mode, depending on the mass of the stone and the
  selected time of destruction of the stone and other factors (distribution of stone density, location of the
  stone in the kidney, proximity of walls and vessels) generates recommendations for setting the parameters
  of the laser. The medical decision support system made it possible to reduce the time for a doctor to decide,
  to avoid mistakes when choosing the parameters of the laser installation for crushing kidney stones.

• COMPUTATIONAL ASPECTS OF SOLVING GRID EQUATIONS ON GRAPHICS ACCELERATORS

  N.N. Gracheva, V.N. Litvinov, N.B. Rudenko, A.V. Nikitina, А. Е. Chistyakov

  2021-12-24

  Abstract ▼

  To predict emergencies and irreversible consequences of human activities, scientists use
  mathematical modeling. When an emergency occurs, it is very important to minimize the decisionmaking
  time. The development of the project solution can be based on the forecast of changes in
  the modeled process. In the numerical solution of problems of hydrophysics and biological kinetics,
  it becomes necessary to develop effective methods for solving systemic equations of large dimension
  with a non-self-adjoint operator. The large volume of processed information and the
  complexity of computations necessitate the use of computational clusters, which include video
  adapters to increase the performance of the computing system and the speed of information processing.
  The aim of the research is to develop a solution for a module that implements the algorithm
  of the system of linear algebraic equations (SLAE) by the modified alternative triangular
  iterative method (MATM) (self-adjoint and non-self-adjoint case) using NVIDIA CUDA technology.
  A method for decomposition of the computational domain in a three-dimensional case is described.
  A graph model of a parallel pipeline computational process is proposed, focused on the
  GPU (Graphics Processing Unit). To determine the two-dimensional configuration of flows in the
  computational unit, when performing one step of one step, the MATM is minimal. The studies have
  shown that the choice of the method of decomposition of the computational domain in the form of
  parallelepipeds must be performed taking into account the architecture of the video adapter. The
  developed algorithm and software module make it possible to more effectively use the computational
  resources of the GPU used to solve computationally laborious problems of hydrophysics.