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AUTOMATED UNIVERSAL IMAGE QUALITY INDEX MEASUREMENT VS. AUTOMATED NOISE MEASUREMENT: WHICH METHOD IS BETTER TO DEFINE CT IMAGE QUALITY? Lestari, Fauzia Puspa; Anam, Choirul; Hardiyanti, Yati; Haryanto, Freddy
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 9, No 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p132-139

Abstract

Automatitation method in defining the quality of CT image is needed to optimize CT Scan treatment planning. So, the optimization of treatment planning can also be done automatically. There are various methods proposed to define the quality of an image. The purpose of this study was to find the simple and precision method to define CT image. We compared the performance of Automated Noise Measurement (ANM) and Automated Universal Image Quality Index (UIQI). We also compared them with the Manual noise measurement method based on the level of convergence in homogeneous images. The first step of Automated Noise Measurement was to create binary density slice using threshold values. Then, a masked image was performed by masking the original image and binary image. The standard deviation of every pixel for a certain kernel size was calculated by using a sliding window operation. The fourth step was to make a noise histogram from the noise map and determine the final noise in the image as the histogram peak. Then this calculation was normalized by the peak of the Hounsfield Unit (HU) histogram. All these steps were done with various kernel sizes for different slices in-homogenous phantom. In the Automatic UIQI method, the steps in the ANM method are carried out until the masked image stage, then UIQI is calculated for the masked image. The results show that automatic UIQI was more convergence in defining image quality than manual noise measurement and automated noise measurement by the lowest standard deviation which was only 0.00032867.
Pengaruh Penambahan SiO2 dan PTFE Terhadap Respon Termolumi-nesensi TLD CaSO4:Dy Nuraeni, Nunung; Kartikasari, Dewi; Iskandar, Ferry; Haryanto, Freddy; Waris, Abdul; Hiswara, Eri
Jurnal Matematika dan Sains Vol 22 No 1 (2017)
Publisher : Institut Teknologi Bandung

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Abstract

Thermoluminescence response of TLD CaSO4: Dy with a variation of the addition of SiO2 and PTFE materials has been observed. TLD CaSO4:Dy derived through co-precipitation method and then added by SiO2 and PTFE. Thermoluminescence intensity for CaSO4:Dy added by SiO2 obtained 9.41, 5.32; and 13.93 nC for the temperature at 400 °C, 600 °C and 700 °C. As for CaSO4:Dy with the addition of PTFE obtained 33.10;  336.89; and 1191.11 nC for the temperature at 400 oC temperature, 600 °C and 700 °C. Thermoluminscence intensity for CaSO4:Dy without the addition of SiO2 and PTFE at a temperature of 700 °C is 75.15 nC. There’s a significant increasing in the thermoluminescence intensity on CaSO4:Dy added by PTFE.
Dose Volume Product (DVP) As Descriptor for Estimating Total Energy Imparted to Patient Undergoing CT Examination Choirul Anam; Freddy Haryanto; Rena Widita; Idam Arif; Geoff Dougherty
Journal of Medical Physics and Biophysics Vol 3, No 1 (2016)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Abstract

The purpose of this study is to expand a descriptor for estimating the total energy imparted to a patient undergoing a CT examination and to investigate its relationship to the currently used descriptor. Estimating the total energy imparted to a patient has previously been characterized by dose length product (DLP). We propose a descriptor which we call the dose volume product (DVP), defined as the product of the size specific-dose estimate (SSDE) and the volume irradiated in the patient (V). We also present algorithm to automate the calculation of DVP. There are several steps in calculating the DVP: the first is to contour the patient automatically, the second is to calculate the area of patient in every single slice, the third is to calculate the volume of the radiated part of the patient, the fourth is to calculate the water equivalent diameter (DW) automatically, the fifth is to calculate the SSDE, and the last is to calculate the DVP. To investigate the effectiveness of the algorithm, we used it on images of phantoms and patients. The results of this study show that the automated calculations of DVP for both body and head phantoms were in good agreement with theoretical calculations. The differences between them were within 2%. DVP and DLP had a linear relationship with R2 = 0.971 (slope 1099 cm2, 95% confidence interval (CI), 1047 to 1157 cm2) and R2 = 0.831 (slope 248.6 cm2: CI, 237.6 to 259.7 cm2), for thorax and head patients respectively.
SIMULASI PEMBENTUKAN KURVA ISODOSIS BERKAS FOTON 6 MV UNTUK TEKNIK RADIOTERAPI VMAT DENGAN MENGGUNAKAN EGSNRC Nuramdiani, Dian; Yani, Sitti; Fadhillah, M.; Haryanto, Freddy
Wahana Fisika Vol 3, No 1 (2018): JUNE
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/wafi.v3i1.11082

Abstract

Radioterapi merupakan salah satu modalitas utama dalam pengobatan kanker. VMAT (Volumetric Modulated Arc Therapy) merupakan salah satu teknik radioterapi yang memberikan seluruh fraksi dosis secara kontinyu pada saat gantry terus menerus berotasi dengan mengatur kecepatan rotasi gantry, bentuk penampang berkas (MLC leaf position), dan fraksi dosis yang diberikan. Dalam penelitian ini dilakukan simulasi Monte Carlo VMAT dengan menggunakan EGSnrc code system untuk mengetahui distribusi dosis radiasi berkas foton 6 MV pada kasus kanker paru dengan data parameter berasal dari rtplan. Phantom yang digunakan berasal dari data CT scan thorax yang dibaca dengan ctcreate. Simulasi dilakukan dengan membagi jumlah control point VMAT ke dalam 38 kali simulasi dengan setiap simulasi terdiri dari 3 buah control point. Sebagai perbandingan dilakukan pula simulasi VMAT dengan seluruh control point sekaligus. Hasil menunjukkan bahwa distribusi dosis yang terbentuk dari kedua simulasi cenderung memiliki pola kurva isodosis yang hampir serupa, namun perbandingan jumlah history partikel yang digunakan untuk membentuk kurva isodosis yang sama antara kedua simulasi belum dapat diketahui secara pasti. Radiotherapy is one of major modalities in cancer treatment. VMAT (Volumetric Modulated Arc Therapy) is a radiotherapy technique, which provides a continuous full dose radiation as the gantry rotates (dynamic beam delivery) that manages gantry rotation speed, beam cross-sectional shape arranged by MLC leaf position, and fraction of the given dose simultaneously as the treatments take place. The aim of this study was to conduct Monte Carlo VMAT simulation using EGSnrc code system to determine dose distribution of radiation in lung cancer using parameters data deriving from the rtplan. The phantom used comes from data CT scans of thorax, which was then read by ctcreate. Simulation was done by dividing the number of control points of VMAT into 38 simulations in which each simulation consists of three pieces of control point. As a comparison, a VMAT simulation with all of control points was done simultaneously at a time. The results suggest that the dose distributions formed from the sum of data from all simulations with 3 control points tend to have a similar pattern to the dose distribution form of simulations involving all control points, but the comparison of the number of particles history used to form the same isodose curve between the two simulations can not be known for certain.Key words: Radioteraphy; VMAT; Monte Carlo; Control point; Isodose Curve
Analisis Spektral Daya dan Koherensi EEG Pada Anak Penderita Autism Spectrum Disorders (ASD) Handayani, Nita; Pratama, Sra Harke; Khotimah, Siti Nurul; Arif, Idam; Haryanto, Freddy
Wahana Fisika Vol 2, No 2 (2017): Desember
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/wafi.v2i2.9374

Abstract

Autism Spectrum Disorders (ASD) adalah kondisi neurodevelopmental yang berkaitan dengan defisit dalam fungsi eksekutif, emosi, bahasa, dan komunikasi sosial. Beberapa teknik neuroimaging dan neurofisiologi digunakan untuk memahami hubungan antara fungsionalitas otak dan perilaku autis. Quantitative Electroencephalography (QEEG) adalah sebuah teknik non-invasif yang dapat digunakan untuk memberikan gambaran fungsionalitas otak melalui beberapa besaran fisis yang dikaji. Pada paper ini akan dibahas tentang karakteristik sinyal listrik otak pada penderita austis berdasarkan analisis QEEG.  Perekaman sinyal otak menggunakan Emotiv Epoc 14 channel (AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T7, FC6, F4, F8, AF4) dan 2 channel referensi (CMS dan DRL). Jumlah subjek uji dalam penelitian sebanyak 6 anak penderita autis dan 5 anak sehat sebagai kontrol dengan rentang usia antara 10-15 tahun. Perekaman otak dilakukan pada kondisi rileks dan mata terutup selama 15 menit. Metode analisis data meliputi pre-processing data EEG untuk menghilangkan noise dan artefak, perhitungan spektral daya menggunakan periodogram Welch, dan analisis konektivitas fungsional otak dengan menghitung besarnya koherensi intra-hemisphere dan inter-hemisphere. Dari hasil studi diperoleh bahwa pada anak autis terjadi peningkatan spektral daya pada pita delta dan penurunan spektral daya pada pita alpha dibandingkan dengan subjek kontrol. Analisis konektivitas fungsional otak pada anak autis menunjukkan nilai koherensi intra-hemisphere dan inter-hemisphere yang lebih rendah pada pita delta dan theta, khususnya pada area frontal. QEEG dapat digunakan untuk karakterisasi sinyal otak pada penderita autis dan membedakannya dari subjek normal.      Kata Kunci   :  Retardasi Mental; Spektral Daya; Koherensi; EEG;  Sinyal Otak Autism Spectrum disorder (ASD) is a neurodevelopmental disorder associated with deficits in executive function, emotions, language, and social communication. Several neuroimaging and neurophysiology techniques are used to understand the relationship between brain functionality and autistic behavior. Quantitative Electroencephalography (QEEG) is a non-invasive technique that can be used to illustrate the functionality of the brain through the analysis of several physical quantities. This paper will discuss about the characteristics of electrical brain signals in austistic children based on QEEG analysis. Recording of brain signals using  Emotiv Epoc 14-channels (AF3, F7, F1, O2, P8, T7, FC6, F4, F8, AF4) and 2 reference channels (CMS and DRL). The number of test subjects in the study were 6 autistic children and 5 healthy children as controls with an age range between 10-15 years old. Brain recording performed on resting state and eyes closed for 15 minutes. The methods of analysis data includes pre-processing EEGs data to remove noise and artifacts, power spectral analysis using Welch Periodogram, and brain functional connectivity analysis by calculating the magnitude of intra-hemisphere and inter-hemisphere coherences. The results of the study found that an increased of power spectral in the delta band and a decreased of power spectral in the alpha band in autistic children compared to control subjects. Analysis of functional connectivity of the brain in autistic children shows lower intra-hemisphere and inter-hemisphere coherences in the delta and theta bands, particularly in the frontal area. QEEG can be used to characterized brain signals in autistic children and differentiated them from the normal subjects.          Keywords  : Mental Retardation; Power Spectral; Coherence; EEG; Brain Signal
Perbandingan Dosis Serap Berkas Foton 16 MV Pada Berbagai Jenis Phantom menggunakan Metode Monte Carlo - EGSnrc Ramdani, Ridwan; Haryanto, Freddy
Wahana Fisika Vol 1, No 2 (2016): Desember
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/wafi.v1i2.4538

Abstract

Telah dilakukan penelitian tentang perbandingan dosis serap berkas foton 16 MV pada berbagai jenis material phantom dengan menggunakan simulasi Monte Carlo-EGSnrc. Tujuan dari penelitian ini adalah membandingkan dosis serap pada berbagai jenis medium phantom yaitu jaringan lunak, paru-paru, tulang dan pmma serta pada medium non homogen. Penelitian ini dilakukan dengan menggunakan simulasi Monte Carlo BEAMnrc dan DOSXYZnrc yang merupakan pengembangan dari EGSnrc. BEAMnrc digunakan untuk memodelkan dan mensimulasikan kepala linac dengan SSD 100 cm dan Field size 10x10 cm2. DOSXYZnrc digunakan untuk memodelkan phantom 40x40x40 cm3 dan mensimulasikan dosis serap pada phantom tersebut. Berdasarkan penelitian yang telah dilakukan didapatkan hasil bahwa kedalaman pada dosis maksimum masing-masing adalah 2.7 cm untuk jaringan lunak, 9 cm untuk paru-paru,  1.5 cm untuk tulang dan 2,5 cm untuk pmma. Untuk medium non homogen dibuat dengan menyisipkan masing-masing paru-paru dan tulang setebal 10 cm di phantom air pada kedalaman 15 cm. Penyisipan tersebut menyebabkan perubahan dosis serap untuk seluruh daerah phantom. Penambahan paru-paru setebal 10 cm menghasilkan rentang faktor koreksi 0,97 – 1,19, sedangkan penambahan tulang setebal 10 cm menghasilkan rentang faktor koreksi 0,82-1,03.
Automated Universal Image Quality Index Measurement vs. Automated Noise Measurement: Which Method is Better to Define CT Image Quality? Lestari, Fauzia Puspa; Anam, Choirul; Hardiyanti, Yati; Haryanto, Freddy
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol 9, No 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v9n2.p132-139

Abstract

Automatitation method in defining the quality of CT image is needed to optimize CT Scan treatment planning. So, the optimization of treatment planning can also be done automatically. There are various methods proposed to define the quality of an image. The purpose of this study was to find the simple and precision method to define CT image. We compared the performance of Automated Noise Measurement (ANM) and Automated Universal Image Quality Index (UIQI). We also compared them with the Manual noise measurement method based on the level of convergence in homogeneous images. The first step of Automated Noise Measurement was to create binary density slice using threshold values. Then, a masked image was performed by masking the original image and binary image. The standard deviation of every pixel for a certain kernel size was calculated by using a sliding window operation. The fourth step was to make a noise histogram from the noise map and determine the final noise in the image as the histogram peak. Then this calculation was normalized by the peak of the Hounsfield Unit (HU) histogram. All these steps were done with various kernel sizes for different slices in-homogenous phantom. In the Automatic UIQI method, the steps in the ANM method are carried out until the masked image stage, then UIQI is calculated for the masked image. The results show that automatic UIQI was more convergence in defining image quality than manual noise measurement and automated noise measurement by the lowest standard deviation which was only 0.00032867.
Difusi Bebas 1D dan 2D dengan Monte Carlo: Perbandingan Distribusi Bilangan Random Normal dan Seragam dengan Box-Müller Fairusy Fitria Haryani; Freddy Haryanto; Sparisoma Viridi
Jurnal Teori dan Aplikasi Fisika Vol 9, No 1 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i1.2608

Abstract

Many biological processes in the human body are based on the diffusion system. Diffusion is defined as a process of random movement of the particle whose the direction is from high concentrations to low concentrations. Many of various study of diffusion have been done both experimentally and computationally. Because the particle interaction is stochastic, the Monte Carlo (MC) method is used in performing particle simulations. The main of MC method is the use of random numbers. Many software have provided uniform random number generators. But based on the analytic results, the solution is normal distribution. Therefore, Box-Müller can be used as a transformation of particle distribution. The software used, MATLAB, has a normal random generator. Therefore, the aims of this study is comparing particle distribution of these two different random number generator with MATLAB and showing the impact of timestep parameter to these random number generator. This result can be used as based for the modelling of more complex biological systems.
Kajian dari Proses Studi Kontrol Kualitas Gambar Magnetic Resonance Imaging (MRI) pada Simulasi Treatment Planning Gamma Knife Irhas Irhas; Freddy Haryanto; Elia Soediatmoko
Journal of Medical Physics and Biophysics Vol 5, No 2 (2018)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Abstract

Kajian dari Proses Studi Kontrol Kualitas Gambar Magnetic Resonance Imaging (MRI) pada Simulasi Treatment Planning Gamma Knife
Simulasi Rekonstruksi Citra Pada Sensor Brain ECVT (Electrical Capacitance Volume Tomography) dengan Metode ILBP (Iterative Linear Back Projection) Nita Handayani; Kharisma Fajar H; Freddy Haryanto; Siti Nurul K; Marlin R Baidillah; Warsito P Taruno
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 6, No 02 (2016): IJAP Volume 06 Issue 02 Year 2016
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v6i02.1480

Abstract

The purpose of this study is to simulate the sensor 32-channel Brain ECVT image reconstruction using ILBP (Iterative Linear Back Projection) methods. ECVT is a dynamic volume imaging technique that utilizes non-linear difference of electric field distribution to determine the distribution of permittivity in the sensing area. ECVT has measured the capacitance of data as a result of changes in the permittivity distribution between the electrode pairs. ECVT device consists of three main parts: helmet-shaped sensors, DAS (Data Acquisition System), PC for display and image reconstruction process. Simulation of sensor design using COMSOL Multiphysics 3.5 software, while the process of image reconstruction and analysis of the results using Matlab software 2009a. The principle of ECVT includes two stages of data collection capacitance of electrodes (forward problem) and image reconstruction from the measured capacitance (inverse problem). In the study, the simulation of image reconstruction was done by varying the object position, the number of objects and charge density of the object. From the simulation results showed that the reconstructed image with ILBP method is influenced by several parameters: the object's position in the sensor,charge density value of the object, an alpha value and the number of iterations was selected.