Analysis of Thermal Properties of Brain Tissues with Bioheat Transfer by Reduced Differential Transform Approach

Microwave ablation (MWA) for brain tumours is a highly effective treatment for destroying brain tumour cells, where energy is delivered through devices to increase the temperature of brain tumour cells. The primary goal of microwave ablation is to increase the temperature of brain tissues, which kills tumour cells. Raising the temperature can destroy tumoural cancer cells, usually with minimal damage to healthy organs. This paper presents the modelling of heat transfer of healthy and tumoural brain tissues during MWA treatment by using single phase lag Penne's bioheat theory. A mathematical model describing this process during MWA treatment provides valuable insights into the thermal effects of this treatment. The reduced differential transform technique represents the analytical solution for the temperature of healthy and tumoural brain tissues. This paper deals with the comparison of temperature distribution between healthy and tumoural brain tissue during MWA treatment. The thermoelastic properties of healthy and tumoural brain tissues have been discussed and compared by using Python graphs. Also, thermal damage on healthy brain tissues has been represented graphically. This knowledge contributes to the safety and optimization of MWA treatment.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.22130/scma.2024.2028288.1717
Citations
1
Primary Topic
Thermoelastic and Magnetoelastic Phenomena
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Thermal Properties of Brain Tissues with Bioheat Transfer by Reduced Differential Transform Approach

1 citations
SHILAP Revista de lepidopterología
Thermoelastic and Magnetoelastic Phenomena
0.86
article

Analysis of Thermal Properties of Brain Tissues with Bioheat Transfer by Reduced Differential Transform Approach

article en
1 citations

Abstract

Microwave ablation (MWA) for brain tumours is a highly effective treatment for destroying brain tumour cells, where energy is delivered through devices to increase the temperature of brain tumour cells. The primary goal of microwave ablation is to increase the temperature of brain tissues, which kills tumour cells. Raising the temperature can destroy tumoural cancer cells, usually with minimal damage to healthy organs. This paper presents the modelling of heat transfer of healthy and tumoural brain tissues during MWA treatment by using single phase lag Penne's bioheat theory. A mathematical model describing this process during MWA treatment provides valuable insights into the thermal effects of this treatment. The reduced differential transform technique represents the analytical solution for the temperature of healthy and tumoural brain tissues. This paper deals with the comparison of temperature distribution between healthy and tumoural brain tissue during MWA treatment. The thermoelastic properties of healthy and tumoural brain tissues have been discussed and compared by using Python graphs. Also, thermal damage on healthy brain tissues has been represented graphically. This knowledge contributes to the safety and optimization of MWA treatment.

SHILAP Revista de lepidopterología
Shreemati Nathibai Damodar Thackersey Women's University (IN), Indian Education Society's V. N. Sule Guruji English Medium School (IN)
Good health and well-being
Openalex Percentile: Top 22%
Thermoelastic and Magnetoelastic Phenomena
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.