Iskandar Shahrim Mustafa

Structural and Optical Properties of Lead-Boro-Tellurrite Glasses Induced by Gamma-Ray

Spectrophotometric studies of lead borotellurite glasses were carried out before and after gamma irradiation exposure. The increasing peak on the TeO4 bi-pyramidal arrangement and TeO3+1 (or distorted TeO4) is due to augmentation of irradiation dose which is attributed to an increase in degree of disorder of the amorphous phase. The structures of lead tellurate contain Pb3TeO6 consisting of TeO3 trigonal pyramid connected by PbO4 tetragonal forming a three-dimensional network. The decrease of glass rigidity is due to irradiation process which is supported by the XRD diffractograms results. The decreasing values of absorption edge indicate that red shift effect occur after irradiation processes. A shift in the optical absorption edge attributed to an increase of the conjugation length. The values of optical band gap, Eopt were calculated and found to be dependent on the glass composition and radiation exposure. Generally, an increase and decrease in Urbach’s energy can be considered as being due to an increase in defects within glass network.

Segmentation and estimation of brain tumor volume in computed tomography scan images using hidden Markov random field Expectation Maximization algorithm

Brain tumors have been created by abnormal and uncontrolled cell division inside the brain. A crucial and lengthy task is the segmentation of brain tumors, which can be gained manually with the help of Computed Tomography (CT). Treatment, diagnosis, signs and symptoms of the brain tumors mainly depend on the volume, shapes and location of the tumors. The accuracy and time of detecting brain tumor are vital contributions in the successful diagnosis and treatment of tumors. Therefore, the detection of brain tumor needs to be fast and accurate. Brain tumor segmentation and volume estimation have been considered a challenge mission in medical image processing. The main aim of this paper is that with the help of hidden Markov random field- Expectation Maximization (HMRF-EM) and threshold method, a novel approach of improving the segmentation of brain tumors from CT scan images is produced. The segmentation and volume estimation images are obtained by the study of 2D images. We calculate the volume of tumor using a new approach based on 2D images estimations and voxel space. In order to validate the proposed approach a comparison is carried out with a manual method using Mango software which, the noise or impurities are less than Mango software in measurement of tumor volume.

Detecting brain tumor in Magnetic Resonance Images using Hidden Markov Random Fields and Threshold techniques

Brain tumors are created by abnormal and uncontrolled cell division inside the brain. The segmentation of brain tumors which is carried out manually from MRI is a crucial and time consuming task. The accuracy of detecting brain tumor location and size takes the most important role in the successful diagnosis and treatment of tumors. So the detection of brain tumor needs to be fast and accurate. Brain tumor detection is considered a challenging mission in medical image processing. This paper concerns presenting an approach which will be useful for improved detection of brain tumor using Hidden Markov Random Fields (HMRF) and Threshold methods. The proposed method has been developed in this research in order to construct hybrid method. The aim of this paper is to introduce a scheme for tumor detection in Magnetic Resonance Imaging (MRI) images using (HMRF) and Threshold techniques. These methods have been applied on 3 different patient data sets. They have the property of organizing their soothing effect on the final segment of brain tumor homogeneous tissue regions, while the edges between different tissues constituents are better kept.

Detecting brain tumor in computed tomography images using Markov random fields and fuzzy C-means clustering techniques

Brain tumors, are an abnormal growth of tissues in the brain. They may arise in people of any age. They must be detected early, diagnosed accurately, monitored carefully, and treated effectively in order to optimize patient outcomes regarding both survival and quality of life. Manual segmentation of brain tumors from CT scan images is a challenging and time consuming task. Size and location accurate detection of brain tumor plays a vital role in the successful diagnosis and treatment of tumors. Brain tumor detection is considered a challenging mission in medical image processing. The aim of this paper is to introduce a scheme for tumor detection in CT scan images using two different techniques Hidden Markov Random Fields (HMRF) and Fuzzy C-means (FCM). The proposed method has been developed in this research in order to construct hybrid method between (HMRF) and threshold. These methods have been applied on 4 different patient data sets. The result of comparison among these methods shows that the proposed method gives good results for brain tissue detection, and is more robust and effective compared with (FCM) techniques.

Synthesis, characterisation and dosimetric evaluation of MgB4O7 glass as thermoluminescent dosimeter

ABSTRACT This study presumably reports the dosimetric properties of MgB4O7 glass system. A series of MgB4O7 glass samples with nominal compositions XMgO-(100-X) B2O3, with X = 35, 40 and 45 mol% was successfully synthesied using conventional melt quenching method. The presence of broad humps and absence of any sharp peak in typical X-ray diffraction patterns confirm the amorphous nature of the synthesised glass samples. Good glass forming ability, 0.55, of the mixture resulting in a glass with excellent glass stability, 1.4, was observed. Thermoluminescence glow curve was observed to be simple with a single well defined dosimetric peak around 200°C. The dose response was found to be linear from 6 µGy to 0.5 kGy when irradiated to Cs-137 gamma rays. Considerably satisfying thermoluminescent (TL) characteristics suggests that the MgB4O7 glass could be recommended as a TL dosimeter.

Comprehensive study of electronic polarizability and band gap of B2O3–Bi2O3–ZnO–SiO2 glass network

Quaternary glasses were successfully fabricated using melt quenching technique based on the chemical compound composition (x)Bi2O3–(0.5−x) ZnO–(0.2)B2O3–(0.3)SiO2, where (x=0.1, 0.2, 0.3, 0.4, 0.45) mole. The sources of SiO2 was produced from rice husk ash (RHA) at 99.36% of SiO2. The Urbach energy was increased from 0.16eV to the 0.29eV as the mole of Bi2O3 increased in the glass structure. The indirect energy band gap is indicated in decrement pattern with 3.15eV towards 2.51eV. The results of Urbach energy and band gap energy that were obtained are due to the increment of Bi3+ ion in the glass network. The refractive indexes for the prepared glasses were evaluated at 2.36 to 2.54 based on the Lorentz–Lorentz formulation which correlated to the energy band gap. The calculated of molar polarizability, electronic polarizability and optical basicity exemplify fine complement to the Bi2O3 addition in the glass network. The glass sample was indicated in amorphous state.

Analysis of Uranium concentration on maternal and umbilical cord blood samples after delivery in Iraq

Uranium is a naturally occurring radioactive and toxic element. An increased prevalence of birth defects was allegedly reported in Iraq in the post 1991 Gulf War period, which was largely attributed to exposure to depleted Uranium used in the war. This study is done to determine the concentrations of Uranium radioactivity in maternal blood and umbilical cord blood samples after delivery in hospitals in governorates of Baghdad, Dhi-Qar and Basrah in Iraq. A number of 100 pregnant women were involved; consist of 53 women delivered with normal and alive infants and another 47 women delivered with abnormal and dead deformed infants. The CR-39 detector is used to determine the Uranium concentrations found in the blood samples of maternal blood and umbilical cord blood. Results show that mean Uranium concentration for maternal and umbilical cord blood samples of deformed and dead infants is nearly double than the value of normal and alive infants. The older pregnant women were found to have greater Uranium concentration compared to younger pregnant women. Among the selected 3 governorates, pregnant women in Basrah shows the highest Uranium concentration on maternal and umbilical cord blood samples. High Uranium concentrations found in maternal and umbilical cord blood samples have caused the increased rate of mortality on infant and children in Iraq. Thus, precautions and awareness should be taken up seriously in order to improve the health condition and well being of the maternal and children, and thus for future generations in Iraq.

Fetal biometry assessment of biparietal diameter for Saudi Arabia population and comparison with other countries

In this study, a new reference range of biparietal diameter (BPD) is developed based on Saudi Arabia population. A number of 2075 pregnant women who attend the maternity check up in 2013 to 2015 at Department of Obstetrics and Gynecology, Hospital Maternity and Children of Dammam, Saudi Arabia, were involved in this study. The data were recorded from 12th to 40th weeks of gestational age (GA). The BPD was measured using Sony Corporation 1-7-1 Konan Minator-K. On-screen caliper is used to measure the BPD parameter on the frozen image using linear method. The SPSS software version 22.0 was used for analysis, with statistical analysis were performed such as compare means, regression analysis and paired sample t-test. Results show that higher BPD growth rate was found in second trimester (12th to 25th weeks of GA) with 2.90 mm/week compared to third trimester (26th to 40th weeks of GA) with only 1.68 mm/week, proved that the rapid growth of fetus head in second trimester than third trimester. Further analysis on maternal age, number of gravid and gender of the fetus were found no significant impact on the BPD values (p values ≥ 0.05). The BPD value of this study shows no significant difference with the BPD values of USA [1], Norway [2], Australia [3], Zimbabwe [4], India [5], China [6] and Malaysia [7]. Thus, this new BPD values are highly recommended to be used by the medical practitioner as the reference range of fetus biometry for Saudi Arabia population, in regards to provide a better healthcare and well being of the maternal and fetuses.

A study of normoxic polymer gel using monomer 2-hydroxyethyl methacrylate (HEMA)

The aim of this study is to determine the sensitivity of HEMA-polymer gel mixture consist of monomer 2-hydroxyethyl methacrylate (HEMA) with different types of composition. Several composition of HEMA-polymer gel were fabricated and the gels were irradiated with radiation dose between 10 cGy to 100cGy by using x-ray machine and 100 cGy to 1400 cGy by using 6 MV photon beam energy of linear accelerator. The degree of polymerization was evaluated by using magnetic resonance imaging (MRI) with dependence of R2-dose response. Polymer gel consists of cross-linker, anti-oxidant Tetrakis(Hydroxymethyl)phosphonium chloride solution (THPC) and oxygen scavenger hydroquinone shows a stable sensitivity with highest dose dependency. Besides, the results shows the stage polymerization consist of induction, propagation, termination, and chain transfer were dependence with type of chemical mixture and radiation dose. Thus, normoxic HEMA-polymer gel with the different gel formulations can have a better dose resolution and an appropriate recipe must be selected to increase of the sensitivity required and the stability of the dosimeter.

A simple rectangular microstrip technique for determination of moisture content in Hevea rubber latex

A simple rectangular microstrip sensor for determination of moisture content in Hevea Rubber Latex is presented in this paper. The microstrip patch sensor was designed to operate at microwave frequency range from 1 to 5 GHz on a RT/Duroid substrate with 6.15 ±0.015 permittivity and 1.27 mm thickness. The width and length of the rectangular patch antenna was 18 mm and 38 mm, respectively. The reflection coefficient of the sensor loaded with Hevea latex at various percentages of moisture content from approximately 36.1% to 88.6 %. Calibration equations have been established between moisture content and phase of reflection coefficient at several selected frequencies. These equations were used to predict the amount of moisture content on Hevea latex based on the measured reflection coefficient values. The actual values of moisture content were obtained using standard oven drying method. The lowest mean relative error between actual and predicted moisture contents was 0.04 at 1 GHz.