This work is built on the Mathematica-Simulink transformed modeling which emphasizes on the rate of heat generation when occurs radiation absorption with low scattering in attenuation against tissue radial and axial depth. Experimental based data and prediction of thermal distribution owing to absorption has applied a closed-form system known in principle as an analogue computer model. There are assumptions which considered to modeling principle and sample conditions such as static tissue with no blood supply with response to homeostatic regulation of body temperature equilibrium. Thermal transfer of different power densities indicates that it penetrates the axial or radial depth with the small heat change difference for several types of tissue, i.e., skin, fat, tumor, and muscle. The results for time intervals of one second or longer show a steady-state centered about one temperature. By contrast, milliseconds to picoseconds time ranges display a small but significant temperature change as the depth varies correlated with the contrasting tissue structures. The dimensionless temperature used for finding indifference of tissue thermal characteristics that gives the heat mapping in different contours of the dimensionless temperature. This indicates that the THz regime has a good prospect for clinical purpose and medical therapy as well as imaging.
The abnormalities identified in the brain have been widely understood to be a form of disorder but displaying the data medically has been a problem. This study, therefore, proposes an imaging analysis to comprehensively investigate the thresholding method, morphology, and the medical imaging simulation approach using the CT scan. The focus was to identify the image of abnormalities in the brain starting with the illumination of the patient's head using X-rays and enhancing the image results. Moreover, irradiation results are also in the form of an image and output dose displayed on the Digital Imaging and Communication in Medicine using the radiology monitor. Thresholding methods and morphological operations are useful for determining the geometry of the area, depth, and volume of the brain using PHP programming. Furthermore, numerical calculations were applied to determine the value of the effective dose while statistical samples were used for 30 years and above. The results, therefore, showed the largest volume to be at the greatest effective dose value. Meanwhile, some data were not detected due to the abnormalities in the geometry of the brain object network, thereby, showing no significant difference in intensity values.
A study of magnetic core resonance imaging modeling of biological tissue has been carried out in analyzing the effect of electrostatic forces with computational approach. This analysis aims to look at the effect of electric and magnetic force on the spectrum of breast cancer tissue. Physical parameters were determined using the modeled wave equation with the application of mathematical wolfram software 9. Computational or modeling results obtained 6 variations of the MRI spectrum showing the peak magnitude of the electric and magnetic spectrum changes by varying the resolution and distance. This is evidenced from the maximum resolution range ie the peak of the electric field spectrum at amplitude 25 a.u is at a concentration of 5 ppm. Resolution of spectrum peak medium is at concentration of 3-4 ppm whereas minimum resolution has 4 peak spectrum that is at concentration 1-2 ppm, 2-3ppm, 3-4ppm and 4ppm. the result of MRI spektrum for distance variation resulted in spectrum change, further reduced the distance then the mri spectrum in magnetic and electric field approaching spin 1.
Research on nuclear magnetic resonance (NMR) modeling has been done with computational approach. This study aims to determine the shape of signals and spectra of some of the combined nuclear spins. The physical parameters were determined using Fourier transformation equation modeled with the wolfram mathematical software 9.0. The relaxation time of the 1/2 nuclear spin was varied according to the nuclear state of cancer tissue.This produces a cosine wave pattern for the signal at T2 = 0.11 ms. Variations of this in chemical shift (Δ) and J-coupling (J) for modeling were performed in 9 times. The spectrum of one spin is generated at the value of Δ = 0.001 Hz and J = 0 Hz, the spectrum of two spins at Δ = 849,001 Hz and J = 24 Hz. These results can be applied to research interests for the medical world and as reference data for research standards.
Receipt of radiation doses in patients by CT scan media really contributed to the radio diagnostic field. So far, volume Computed Tomography Dose Index (CTDIvol) and Dose Length Product (DLP) are the dose parameters used as a prescription of the dose to the patients from the examination process on the CT scan. However, these parameters have the disadvantage that they only describe the dose output from the device without regard to patient size. Size Specific Dose Estimate (SSDE) is a dose correction based on patient size and an effective dose is the dose value that arises due to differences in biological sensitivity values. Calculation of SSDE values and total effective doses were carried out in this study from data of patients who had undergone an abdominal CT scan examination. Patient radiation dose data were obtained from documents collected from the Radiology Department at the Prima Pekanbaru hospital. The data was obtained from examination results of Toshiba Asterion Multi (CTB 400 tube) CT scan of the abdomen of 20 patients. The data analysis shows that the average value of SSDE for male and female patients are 19.64 mGy and 17.4 mGy and the average total effective dose for male and female patients are 12.63 mSv and 9.16 mSv. These data indicate that the level of radiation dose received by patients is below the threshold that has been evaluated based on BAPETEN provisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.