ABSTRAKPenelitian yang telah dilakukan adalah pembuatan dan penghitungan kualitas citra digital menggunakan program Modulation Transfer Function (MTF) pada sistem Computed Radiography (CR) untuk kegiatan Quality Control (QC). MTF dapat digunakan untuk menganalisis resolusi spasial citra digital secara akurat. Pada penelitian ini menggunakan phantom yang terbuat dari tembaga berukuran 15x15 cm dengan ketebalan 1 mm. Phantom dieksposi dengan variasi tegangan 50 kV, 60 kV, 70 kV dan 81 kV dan masingmasing dilakukan variasi arus. Data yang diperoleh berupa file citra digital radiografi format DICOM yang kemudian dilakukan analisis kualitas citranya menggunakan PC diluar sistem CR dengan metode MTF. Metode ini sangat efisien dalam melakukan QC resolusi spasial secara kuantitatif sehingga dapat digunakan untuk menilai kualitas pesawat CR. Hasil pengukuran menunjukkan bahwa semakin tinggi tegangan yang digunakan, maka kualitas citra semakin baik dengan arus optimal pada rentang 4-8 mAs dengan rata-rata nilai resolusi spasial 7,26 lp/mm. ABSTRACTThe research was analyzing of digital image quality by using Modulation Transfer Function (MTF) on Computed Radiography (CR) system for Quality Control (QC). MTF can be used for analyzing digital image spatial resolution accurately. The research used phantom that made of 15x15 cm2 copper and 1 mm thickness. The phantom was expounded with voltage variations by 50 kV, 60 kV, 70 kV dan 81 kV and each of them have been taken by variations of the current. The the image quality of data obtained in the form of radiography digital image files with DICOM format were then analyzed using PC out of CR system with methode of MTF. This methode is really efficient for QC spatial resolution quantitatively and so it can be used for assesing the quality of CR. The measurement results showed that the higher the voltage, the better image quality with optimal current was on the range between 4-8 mAs with the average value of MTF 7,26 lp/mm.
<em>Temperature is the most important parameter in monitoring Infant Warmer medical equipment. In this study, temperature monitoring was carried out on the Lullaby GE Infant Warmer using INCU based on Arduino Uno. The temperature setting used was 34 ° C, 35 ° C, 36 ° C and 37 ° C with each setting repeated 3 times. The temperature sensor used in the INCU analyzer for T1 to T4 is DS18B20, while the T5 uses a DHT22 temperature sensor. At the Infant Warmer temperature, a low error value was obtained for all temperature settings, namely a temperature of 34 ° C with an error of 0.02, a temperature of 35 ° C with an error of 0.03, a temperature of 36 ° C with an error of 0.004 and a temperature of 37 ° C with an error of 0. The INCU analyzer output low temperature is at T5, with temperature settings of 34 ° C, 35 ° C, 35 ° C and 37 ° C respectively 0.009, 0.07, 0.11 and 0.28. While the error value on T1 to T4 ranges from 0.37, namely at T3 for a temperature setting of 35 ° C to 0.84, namely at T3 for a setting of 37 ° C. It can be concluded that the INCU analyzer that has a high degree of accuracy is the T5 using the DHT22 temperature sensor.</em>
A person's condition can be known from the electrical activity of the heart that has been recorded and printed in the form of Elektrokardiogram (EKG). EKG data can be used in the study as a material modality for analysis and diagnosis of cardiac conditions. The data can be either one-dimensional or two-dimensional signal in the form of images. That can be processed by using a computer. This study is intended to prepare EKG image data in the next stage, both for analysis and diagnostic purposes through EKG image data. Can be expected to facilitate and display the optimal results for various studies with EKG image data modality. Algorithm that uses local thresholding methods of sauvola technique. Using a value of R =128 and k = 0.34 has resulted in a clean segmented segment EKG image without grid. Looking at the MSE and PSNR results of each method shows a better result sauvola algorithm than the global thresholding.
The medical image system in the form of digital examination results using Computed Radiography (CR) needs to be analyzed, this can be done by knowing the quality of the image contrast resolution and the quality of its spatial resolution. This study conducted a comparative test between two methods of analyzing contrast resolution of medical images. Image quality on Computed Radiography can be determined using contrast resolution analysis, namely calculating the CNR value and PSNR value. The study was carried out using a phantom to represent the density of the bone. The voltages used are 50 kV, 60 kV, 70 kV and 81 kV, respectively. With each voltage, the tube current and exposure time (mAs) were varied 1.6 mAs, 2 mAs, 4 mAs, 8 mAs, 16 mAs, and 32 mAs. The higher the CNR value obtained, the better the image quality. While the PSNR value to get the optimal quality of medical image contrast, the current-time variation of 4 mAs and 16 mAs must be used. Due to the time-current variation, a high PSNR value is obtained, which indicates that the noise of the medical image is getting smaller so that a good contrast quality of the medical image is obtained.
<p class="Abstract">Hypo-hyperthermia tool is a devive that can stabilize body temperature which decreases or increases temperature dramatically. The design of hypo-hyperthermia devices has been made using Arduino Uno. Functional tests have also been carried out on the hypo-hyperthermia tool to determine the level of success and eligibility. This tool works by utilizing the flow of water to provide the temperature needed by the patient in order to obtain a normal temperature, namely by increasing the temperature of the blanket when the patient has hypothermia and lowering the temperature of the blanket when the patient has hyperthermia. The design of this hypo-hyperthermia tool uses Arduino uno as a processor and DS18B20 sensor for temperature readings. Heaters are also used as water heaters, condensers as water coolers, and water pumps to drive the water cycle from the appliance to the blanket and back to the appliance. The temperature and mode settings will be displayed on the LCD screen. Function test results obtained by comparing the value of the temperature reading in skin mode with a digital thermometer that is obtained an error value of 0.3%. This temperature difference is affected by the room temperature and body temperature of the patient which can change at any time. It was also obtained by comparison of the temperature reading values in blanket mode with a digital thermometer that is obtained the largest error value of 6% at a setting value of 25 °C and the smallest error value of 0.3% at a setting value of 30 °C. This temperature difference is influenced by the temperature of the room at the time of measurement on the blanket is also influenced by the thickness of the hose installed on the blanket, so that the cold temperature in the water is not absorbed properly.</p>
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