Phasukkit, Pattarapong

Preferred name

Alternative Name

Phasukkit, P.

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School of Engineering

pattarapong.ph@kmitl.ac.th

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Basic investigation of breast cancer detection in early stage using microwave radiation: Finite element analysis approach
(2011-12-01)
Sanpanich, A.
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Phasukkit, P.
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Tungjitkusolmun, S.
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Pintavirooj, C.
;
Wongtrairat, W.
One of the main problem which threatening health in middle-aged women around the world is breast cancer. Not only a physical painfulness but also including her own family and victim relatives who suffering from this unavoidable pity fate. To detect those cancerous tumors as in an earlier stage as possible seem to be the best way to handle with this hazard. Besides from x-rays mammography and a conventional diagnostic ultrasound, microwave radiation tomography technique is a promising method to investigate any abnormality forming in her mammalian gland. In this paper, we propose a simulation of microwave radiation using a finite element method (FEM) of our modified imaging setup system for female breast cancer diagnosis. By using FEM, we propose a preliminary study of microwave breast cancer detection from a patch antenna propagation in 3D tissue space approaching. In term of wave penetration, voluminous 3D distribution geometry of electrical field in nonhomogenous simple breast phantom model was presented. These simulations not only show a promising result but also encourage us to develop a real imaging setup system in the near future. © 2011 IEEE.
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Analysis of heat sink effect in hepatic cancer treatment near arterial for microwave ablation by using finite element method
(2012-12-01)
Yhamyindee, P.
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Phasukkit, P.
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Tungjitkusolmon, S.
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Sanpanich, A.
This paper presents an analysis of heat sink effect in hepatic cancer treatment near arterial vessel for microwave ablation by using finite element method. We analyze the temperature distribution, Specific Absorbtion Rate (SAR) and coagulation area in two models. The first is hepatic tissue without artery and the second is hepatic tissue with artery. In the second model, we specify distance between antenna and artery at 10 mm. The initial condition is set as power at 50 watts, temperature at 37°C and blood perfusion rate is varied at 6.4 × 10-10, 6.4 × 10-3 and 6.4 × 104 l/s. The simulation results by using three-dimensional finite element analysis show that the temperature distribution in case of hepatic tissue with no artery is larger than the case with artery. We also found that blood perfusion rate affects to the temperature distribution in hepatic tissue. Higher blood perfusion rate, higher heat sink effect occur. ©2012 IEEE.
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Recurrent neural network based underground object detection using a-scan ground penetrating radar
(2021-05-19)
Choochim, Poomsak
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Kasjarun, Panut
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Phasukkit, Pattarapong
Ground penetrating radar is a highly effective tool to find objects buried underground. But there are still some limitations that prevent it from being applied to a wider variety of applications. The complexity of processing and the opportunity to collect the signal. This work is applied GPR with AI to reduce the processing steps and displayed your object's features immediately. Based on the time series model in Bidirectional Neural Network as RNN in bidirectional format. Because it possible to predict the position and shape of the object simultaneously. The object was buried under a sandbox with a depth of 10 - 50 centimeters and used two antennas to receive and transmit the signal as a GPR machine in this experiment. Found that the accuracy is at 92.8 % and also measured by F1-score in each target positions as well, when using the results of this work to add features and extend it to work with multiple functions, it will be possible to use the GPR used with Neural Network model can be used in the actual situation.
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Image Enhancement by using Triple Filter and Histogram Equalization for Organ Segmentation
(2019-11-01)
Thitivirut, Mongkol
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Leekitviwat, Jirayuts
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Pathomsathit, Carat
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Phasukkit, Pattarapong
Convolution filters are used for blurring and sharpening to modifying image when combined with the Histogram equalization for enhancing medical image by adjusting the contrast of the image. Then, the image will be optimized. So, use morphological for segmentation. This research has been designed the filtering in a part of the convolution filter by using the triple filter to adjust the threshold of morphological and normalization value. The results of this experiment are presented that the accuracy of segmentation is increasing and detecting the multiple organs. Nevertheless, we also found that each algorithm can be used for each organ.
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Temperature Distribution of Microwave Balloon Treatment Benign Prostatic Hyperplasia using Finite Element Model
(2019-11-01)
Jandang, Sinchai
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Tungjitkusolmun, Supan
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Phasukkit, Pattarapong
In this paper, the 3D model of Microwave balloon antenna for treatment urethral stricture from Benign Prostatic Hyperplasia (BPH) was presented. The 3D modeling heating pattern's ability of thin slot antenna of microwave balloon in the research was also demonstrated. As the results showed that the distribution of temperature and surrounding temperature of modeling of open microwave system. Microwave system at 2.45 GHz. Power Operation are 40, 60 and 80 W. Time operation are 5-600s. A design microwave balloon antenna has protection of critical tissue structure.
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Real-time monitoring glucose by used microwave antenna apply to biosensor
(2011-12-01)
Wiwatwithaya, Sujitra
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Phasukkit, Pattarapong
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Tungjitkusolmun, Supan
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Wongtrairat, Wannaree
In this paper we investigate the electromagnetic field interaction with a glucose aqueous solution using a microwave antenna (U-shape) to evaluate the glucose concentration and vary temperature. The glucose concentration vary from 10-40 mg/ml compare with DI(de-ionized) water, the operating frequency of about 1-2.5GHz. The change of the glucose concentration is directly related to the change of the reflection coefficient due to electromagnetic interaction between the dielectric wave and the glucose aqueous solution. A glucose biosensor using microwave antenna (U-shape) provides a unique approach for glucose monitoring. The antenna is designed have various formed and test by comsol program. The principles of Comsol is finite element for dispersion of electromagnetic waves from a real experiment to measure the concentration of glucose solution. © 2011 IEEE.
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An Infant Cry Recognition based on Convolutional Neural Network Method
(2019-11-01)
Teeravajanadet, K.
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Siwilai, N.
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Thanaselanggul, K.
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Ponsiricharoenphan, N.
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Tungjitkusolmun, S.
In this paper, an investigation of crying signal spectra is used to classify categories of infant cries. Three different types of crying considered in this work are hungry, sleepy and burping need. These cries are preprocessed and converted for calculation of Mel-Frequency Cepstral Coefficients (MFCC) before being classified by Convolutional Neural Network (CNN). Experimental results show that CNN based deep learning achieves high performance of 84%.
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Crack Localization Detection in Monolithic Zirconia Dental Crowns via 1D-Convolutional Neural Networks Algorithm-Based Acoustic Emission Analysis
(2024-01-01)
Tuntiwong, Kuson
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Wangman, Rangsinee
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Sritart, Hiranya
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Kanchanatawewat, Kanchana
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Tungjitkusolmun, Supan
The feasibility of utilizing the acoustic emission (AE) technique for the detection and classification of cracks within monolithic dental crown is assessed in this study, owing to its non-destructive nature which enables passive monitoring of structures. The AE signals captured are subjected to analysis to extract pertinent information regarding the source and location of the cracks. A novel approach is proposed, employing deep learning 1D convolutional neural networks (1D-CNNs) for the recognition and classification of the recorded cracked signals. The AE signals, obtained through a handmade AE data acquisition unit, are converted into .csv format and subjected to denoising using Bayesian methods to eliminate background noise. The signals are collected through the breakage of pencil lead (Vallen systeme) Hsu-Nielsen-Source 0.5 (ASTM E976) applied to each surface of the dental crown. Subsequently, the data signals are divided into training and testing groups following an 85 / 15 split. The performance of the deep learning 1D-CNNs is evaluated based on Precision, Recall and total accuracy metrics. The applicated of automated deep learning in this study demonstrated significantly high overall accuracy (98.67%). The integration of handmade data acquisition with 1D-CNN crack detection proves to be an effective method for early screening. The novel method harnesses acoustic emission signals in 1D-CNNs, thereby enhancing the accuracy of clinical dental restorative crack identification and determining the onset time.
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Computational analysis of blood parameters separate by centrifuge technique
(2017-03-23)
Wangboon, Anon
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Phasukkit, Pattarapong
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Keawbumrung, Mongkol
This article is purpose of the computational fluid dynamic (CFD) simulation for blood parameters separated by centrifuge machine which has different spinning velocities. The structure of the machine, as a fixed tube at 30 degrees from the base is used to prove that the precipitate of the blood's 2 parameters, such as blood cell and plasma, by using the simulation from computer In three dimensional (3D) symmetry modeling to study the change of the precipitate in centrifuge at different velocity of spinning. At 2000 rpm, 3000 rpm, 4000 rpm and 5000 rpm(round per minute) the result of this simulation showed the density of blood as low density in the top of the blood it's mean plasma and high density at the bottom of the tube it's mean blood cell. From the model in centrifuge can prove that in each different level of the density from velocity of spinning that useful for study to improvement of blood parameters separated by used computer simulation.
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Airflow effect on microwave ablation in lung model
(2016-02-04)
Phairoh, C.
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Sanpanich, A.
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Kajornpredanon, Y.
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Petsarb, K.
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Sroykham, W.
Pulmonary microwave ablation has been trailed and became dramatically recognized as an alternative surgical method for lung cancer treatment due to its minimal invasive technique and destroyable only a small part of malignant tissue. Even though, lung is realized as a porous tissue in which filled of humid air and a capillary network that rather difficult to control an ablation region, then a prediction of lung destructive region by using MWA simulation seem to be a reliable investigation and numerical tool for supporting this medical maneuver. In this paper, we propose a simulation of microwave thermal ablation for lung cancer treatment in a simple lung model. Microwave applicator was designed as an opened-tip coaxial antenna of 2.45 GHz at 10 Watts. To study an effect of air flow in pulmonary bronchus, a small tube with air flow was also placed close to the microwave applicator then a temperature distribution and coagulation volume at 60 °c were analyzed. The in silico results show a predictable ablation shape which affected by a convection heat transfer of a humid air. However, before a real ablation with swine tissue, an amount of pulmonary blood flow in small blood vessel should be also included in the next investigation inorder to obtain more reasonable results.

Phasukkit, Pattarapong

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