Computational and Mathematical Methods in Medicine

Application of Computational Methods and Mathematical Models in Nuclear Medicine and Radiotherapy


Publishing date
01 Jan 2020
Status
Closed
Submission deadline
13 Sep 2019

Lead Editor

1University of Silesia in Katowice, Katowice, Poland

2Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice, Poland

3IntraOp Medical, Sunnyvale, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Application of Computational Methods and Mathematical Models in Nuclear Medicine and Radiotherapy

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Mathematical modelling has applications in important aspects of contemporary medicine, such as understanding, prediction, treatment, and data processing. It has been successfully applied to a number of important fields of medicine, including big data analysis, biofluids dynamics, cardiovascular diseases, clinical schedules and tests, drug design and discovery, epidemiology, genetics, image processing, immunology, instrumentation, microbiology, neuroscience, oncology, virology, and more.

Modelling and simulation in radiation related practices are becoming more and more popular, and various algorithms, code, and software have been developed. One such approach is the Monte Carlo method, which plays an increasingly important role in modelling the interaction of photons, electrons, positrons, and neutrons with the environment. In contrast to deterministic models, which solve the mathematical equations of radiation transport, Monte Carlo methods sample interactions as probability functions from cross-section data and physical concepts. The use of the Monte Carlo method for calculations in radiotherapy dosimetry has become the most efficient and consistent tool for simulations in most of the related fields, from basic dosimetric quantities to fully realistic simulations of clinical accelerators, detectors, and patient treatment planning. Monte Carlo allows for the performance of various virtual tests with water phantom and ion chamber models by using MCNP code (Monte Carlo N-Particle) and GEANT4 code (Geometry ANt Tracking), among others. The statistical Monte Carlo methods have been shown to provide the most accurate representation of dose distributions in the patient and phantom calculations.

The increasing use of Monte Carlo techniques in medicine is possible due to the progress of computer technology, as well as the computational power of contemporary computers. In addition, this progress also contributes to the application of other computational methods and mathematical models in medicine. Novel analytical and semianalytical computer techniques are used in the contemporary treatment planning systems, making it possible to perform accurate calculations of dose distributions in radiotherapy for complicated irradiation techniques such as IMRT (Intensity-Modulated Radiation Therapy) and VMAT (Volumetric-Modulated Arc Therapy), as well as calculations of radiation doses and various parameters in microdosimetry.

Various computational methods and mathematical modelling techniques have their place not only in radiotherapy, but also in nuclear medicine, and as such the aim of this special issue is to collate both original research and review articles, with a focus on the newest innovative applications of the computational methods and mathematical models in radiation medicine, diagnostics, and therapy.

Potential topics include but are not limited to the following:

  • Progress in specialist software used for the radiation modelling in diagnostics and radiotherapy
  • New solutions in treatment planning systems
  • Modelling in microdosimetry
  • Application of computational methods in the boron neutron capture therapy
  • Modelling of nanoparticle-based radiosensitization enhancement in radiation therapy
  • Monte Carlo evaluation of dose enhancement by cisplatin and other chemotherapy drugs
  • New applications of the Monte Carlo methods in calculations of radiation transport in nuclear medicine and radiotherapy
  • Computational methods and mathematical models in the carbon ion therapy
  • Modelling of the skin radiotherapy
  • Modelling of the total body irradiation technique
  • Application of computational methods in radiosurgery of cancers
  • Modelling of flattening filter free beams in teleradiotherapy

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 5972594
  • - Research Article

Holistic View on Cell Survival and DNA Damage: How Model-Based Data Analysis Supports Exploration of Dynamics in Biological Systems

Mathias S. Weyland | Pauline Thumser-Henner | ... | Stephan Scheidegger
  • Special Issue
  • - Volume 2020
  • - Article ID 3267949
  • - Research Article

Identifying Methamphetamine Dependence Using Regional Homogeneity in BOLD Signals

Hufei Yu | Shucai Huang | ... | Yan Tang
  • Special Issue
  • - Volume 2020
  • - Article ID 5487168
  • - Research Article

Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration

Yu Miao | Jiaying Gao | ... | Tao Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 3290136
  • - Research Article

Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation

Jingming Xia | Yi Lu | Ling Tan
  • Special Issue
  • - Volume 2019
  • - Article ID 8639825
  • - Research Article

Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information

Chao Tang | Jie Li | ... | Bin Yan
  • Special Issue
  • - Volume 2019
  • - Article ID 1641895
  • - Research Article

Measuring and Monte Carlo Modelling of X-Ray and Gamma-Ray Attenuation in Personal Radiation Shielding Protective Clothing

Michaela Kozlovska | Jaroslav Solc | Petr Otahal
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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