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"Pada penelitian ini telah dilakukan uji karakterisasi pada detektor Careview 1500Cw yang bersifat retrofit, Philips Mobile wDR, dan GE Optima XR 220amx untuk mengetahui sensitifitas detektor dan kualitas citra yang dihasilkan. Sensitifitas respon detektor Philips Mobile Diagnost wDR dan GE Optima XR diuji dengan menyatakan korelasi hubungan antara dosis dan indeks eksposur, nilai piksel dengan dosis, dan hubungan dosis dengan nilai SDNR pada kondisi berkas standar RQA 5. Sementara itu, uji sensitivitas respon detektor pada detektor Careview 1500Cw hanya korelasi hubungan antara dosis dan nilai piksel saja. Selain pengujian respon detektor, dilakukan pula uji kualitas detektor berdasarkan protokol dari IPEM No.91. Kemudian, untuk uji kualitas citra direpresentasikan dengan Modulation Transfer Function (MTF) sebagai parameter utama, koefisien variasi (CV), dan koefisien linearitas (CL) sebagai parameter tambahan. Pertama, uji sensitifitas detektor menghasilkan hubungan antara nilai piksel dengan dosis berupa korelasi linear positif dengan persamaan y = 0.2975x + 2207 dan R2 = 0.945 untuk detektor Careview 1500Cw. Kedua, untuk Philips Mobile Diagnost wDR memiliki hubungan logaritma positif dengan persamaan y = 2632ln(x) + 13848 dan nilai R2 = 0.999. Terakhir, pada GE Optima XR 220amx hubungan antara dosis dengan nilai piksel pada kedua pesawat adalah linear dengan persamaan y = 216.46x + 4.6746 dan R2 = 0.9999 untuk pesawat 1. Sementara itu, untuk pesawat 2 hubungannya linear yang memenuhi persamaan y = 106.25x + 4.9704 dan R2 = 1. Sementara itu, korelasi hubungan dosis dengan indeks eksposur dan SDNR menghasilkan hubungan linear positif untuk setiap jenis detektor. Setiap hasil pengukuran parameter uji IPEM No.91 memenuhi persyaratan, sehingga dapat digunakan sebagai pedoman untuk uji kualitas kontrol rutin berikutnya.

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In this reasearch, a characterization test was carried out on the Careview 1500Cw retrofit detector, Philips Mobile wDR, and the GE Optima XR 220amx to determine the sensitivity of the detector and the resulting image quality. The response sensitivity of the Philips Mobile Diagnostics wDR detector and the GE Optima XR was tested by stating the correlation between the dose and exposure index, the pixel value with the dose, and the dose relationship with the SDNR value in the RQA 5 standard beam condition. Meanwhile, test the detector response sensitivity on the Careview detector. 1500Cw is only a correlation of the relationship between dose and pixel value only. Apart from testing the detector response, a detector quality test was also conducted based on the protocol from IPEM No. Then, the image quality test is represented by the Modulation Transfer Function (MTF) as the main parameter, the coefficient of variation (CV), and the linearity coefficient (CL) as additional parameters. First, the detector sensitivity test produces a relationship between the pixel value and the dose in the form of a positive linear correlation with the equation y = 0.2975x + 2207 and R2 = 0.945 for the Careview 1500Cw detector. Second, for the Philips Mobile Diagnostics wDR has a positive logarithmic relationship with the equation y = 2632ln (x) + 13848 and the value of R2 = 0.999. Finally, in GE Optima XR 220amx the relationship between dose and pixel value on both planes is linear with the equation y = 216.46x + 4.6746 and R2 = 0.9999 for plane 1. Meanwhile, for plane 2 the relationship is linear which satisfies the equation y = 106.25x + 4.9704 and R2 = 1. Meanwhile, the correlation between dose and exposure index and SDNR produces a positive linear relationship for each type of detector. Each measurement result of the IPEM No.91 test parameter meets the requirements, so it can be used as a guideline for the next routine quality control test."

"Teknologi pesawat mamografi telah mengalami perkembangan yang cukup pesat, dimulai dari mamografi konvensional yang menggunakan reseptor film/screen (Screen Film Mammography) sampai mamografi digital. Dalam penelitian ini dilakukan kontrol kualitas dengan menerapkan protokol International Atomic Energy Agency (IAEA) Human Health Series no.17 untuk mengetahui kinerja pesawat mammografi digital Direct Radiography (DR). Pengukuran dosis radiasi yang direpresentasikan dengan Mean Glandular Dose (MGD) dan evaluasi kualitas citra juga dilakukan dalam penelitian ini. Uji kontrol kualitas yang meliputi evaluasi: mekanis sistem, sistem kompresi dan AEC, kinerja reseptor citra, ghosting, uniformitas dan homogenitas, kualitas berkas (HVL), sistem kolimasi, tampilan monitor, dan laser printer, menunjukkan hasil yang baik. Sedangkan berdasarkan hasil uji luminansi, perlu dilakukan koreksi pada viewbox. Dari ketebalan fantom 2 cm, 3,8 cm, 4,3 cm, dan 6 cm diperoleh estimasi dosis rata-rata berturut-turut 0,501 mGy, 1,041 mGy, 0,845 mGy, dan 1,956 mGy. Hasil Mean Glandular Dose (MGD) ini masih memenuhi syarat yang direkomendasikan oleh IAEA no. 17 dengan pertimbangan faktor koreksi=0,154.(Ketebalan kompresi)+0,624. Hasil evaluasi kualitas citra yang menggunakan fantom CIRS 011 A dan fantom Nuclear Associates 18-220 masih dalam batas direkomendasikan oleh Computerized Imaging Reference Systems (CIRS) dan American College of Radiology (ACR).

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Mammography technology has been developed rapidly, starting from conventional mammography using screen/film receptor (Screen Film Mammography) to digital mammography. In this study, the quality control protocol is adopted from International Atomic Energy Agency (IAEA) Human Health Series No.17 to determine performance of digital mammography: Direct Radiography (DR). Dose measurement which is represented by Mean Glandular Dose (MGD) and image quality evaluation have been studied as well.

The results of quality control tests included evaluation of mechanical system, compression system, Automatic Exposure Control (AEC), performance of image receptor, ghosting, uniformity and homogeneity, beam quality (HVL), collimation system, display monitor, and laser printers are in good conditions. Otherwise, according to luminance test result, viewboxs need to be corrected. From the phantom thickness of 2 cm, 3,8 cm, 4,3 cm, and 6 cm, obtained estimation of the average dose are respectively 0,501 mGy, 1,041 mGy, 0,845 mGy, and 1,956 mGy. This MGD?s results are still eligible recommended by IAEA no. 17, with considering correction factor=0,154.(compressed thickness)+0,624. Phantom image quality evaluation results which use CIRS 011A and Nuclear Associates 18-220 phantom are still within the limits recommended by Computerized Imaging Reference Systems (CIRS) and American College of Radiology (ACR)."

"Akuisisi citra sistem digital perlu dioptimasi untuk mendapatkan kombinasi parameter fisis paling optimum, sehingga menghasilkan kualitas citra yang cukup dengan dosis radiasi atau mengikuti prinsip ALARA (as low as reasonably achievable). Studi ini dilakukan pada dua anatomi yaitu thoraks dan abdomen dengan fantom in-house yang dibuat khusus sebagai alat kuantisasi kualitas citra. Parameter Figure of Merit (FOM) dikalkulasi sebagai perbandingan antara SDNR kuadrat dan dosis yang aplikasinya diuji pada studi ini. Parameter kualitas citra lainnya direpresentasikan oleh Modulation Transfer Function (MTF) dan Contrast Consistency (CV). Pada pengukuran menggunakan fantom In-house menghasilkan nilai FOM tertinggi pada thoraks ketika kombinasi faktor eksposi di 57 kV, 8 mAs, 1 mm Al + 0.1 mm Cu; 55 kV, 6.3 mAs, 1 mm Al +0.1 mm Cu dan 63 kV, 5 mAs, 1 mm Al +0.1 mm Cu untuk ketebalan 15 cm, 20 cm, dan 24 cm. Pada abdomen, kombinasi faktor eksposi di 102 kV, 12.5 mAs; 96 kV, 12.5 mAs; 81 kV, 8 mAs, dengan 1 mm Al +0.2 mm Cu menghasilkan nilai FOM tertinggi untuk ketebalan 20 cm, 25 cm, dan 30 cm. Studi ini menunjukkan perlunya penelitian lanjutan untuk mendeskripsikan parameter lain untuk keperluan optimasi.

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Digital image acquisition system needs to be optimized to get the most optimum combination of physical parameters, to produce sufficient image quality with radiation doses following ALARA (as low as reasonably achievable) principles. This study was carried out on two anatomies, namely thorax and abdomen with in-house phantoms specifically constructed as image quality quantization tool. The Figure of Merit (FOM) parameter is calculated as the ratio between squared Signal Different to Noise Ratio (SDNR) and the dose for which the application was tested in this study. Other image quality parameters are represented by Modulation Transfer Function (MTF) and Contrast Consistency (CV).

The measurements using the in-house phantom produced the highest FOM values ​​on the thorax when the combination of exposure factors at 57 kV, 8 mAs, 1 mm Al + 0.1 mm Cu; 55 kV, 6.3 mAs, 1 mm Al + 0.1 mm Cu and 63 kV, 5 mAs, 1 mm Al + 0.1 mm Cu for thicknesses of 15 cm, 20 cm, and 24 cm. On the abdomen, a combination of exposure factors at 102 kV, 12.5 mAs; 96 kV, 12.5 mAs; 81 kV, 8 mAs, with 1 mm Al +0.2 mm Cu was resulting in the highest FOM value for 20 cm, 25 cm, and 30 cm thickness. This study shows the need for further research to describe other parameters for optimization purposes."

"Complete diagnosis in dentistry needs more detail and accurate quantitative as well as qualitative jawbone trabeculation evaluation. This requires modern diagnostic radiography that in Indonesia are still very limited. One form of the periodontitis that demands more attention and detailed information due to the great efforts to overcome, is Rapidly Progressive Periodontitis, and thus this disease has chosen as a model in this study. The objective of this study to get more detail and accurate radiometric of Direct Digital Intraoral value from grading Conventional value. This methode expected to be a model of studies on jawbone quality in dentistry. The healting RPP patients as a subjects of this study. The methods trabeculation density from mandibular DDIR and conventional periapical radiographs of 116 healthy subjects and 41 RPP patients were evaluated and correlated to obtain transformation formula in the form of regression function. This study was performed Clinic of Dental Radiology and Periodontology, Faculty of Dentistry, University of Indonesia function were then used as a methode to obtain quantitative data from conventional radiographs available. The results were indicated a significant independent variables were included in the regression function (p<0.05). Therefore even no DDIR equipment available, this transformation enable dentists all over Indonesia with only conventional radiographs available, to obtain more detail quantitative trabeculation density data. The conclusion is apart from getting a methode to transform conventional radiographic data into radiometric data equal to data obtained from DDR that more detail and accurate, this study also provides the normal radiographic trabeculation density value of peron 20-40 years as data base for further studies."

"Penelitian ini membahas karakter dua digital radiography (MobileDiagnost wDr dan Essenta DR Compact) menggunakan fantom in-house dan fantom pro-digi dilihat dari kualitas citranya. Parameter kualitas citra direpresentasikan sebagai koefisien linearitas (CL) yaitu korelasi antara Signal Difference to Noise Ratio (SDNR) dengan kedalaman obyek, dan koefisien variasi (CV) yaitu konsistensi nilai SDNR obyek terhadap perubahan ukuran. Selain itu, Modulation Transfer Function (MTF) juga dievaluasi sebagai parameter tambahan. Pengambilan citra dilakukan dengan empat variasi filter (0 mm Al, 1 mm Al + 0.1 mm Cu, 1 mm Al + 0.2 mm Cu, dan 2 mm Al) juga dengan dan tanpa antiscatter grid. Penelitian ini menunjukan desain dari fantom in-house dapat digunakan untuk Quality control (QC) pada sistem DR tetapi penggunaannya tidak dapat digeneralisasi pada semua DR dikarenakan setiap alat memiliki karakteristik masing-masing.

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This study aims to discuss the characteristics of two digital radiography systems, namely Mobile Diagnosis WDR and Essenta DR Compact using in-house phantoms and Pro-Digi in terms of image quality. Proposed image quality parameters are linearity coefficients (CL), namely the correlation between the Signal Difference to Noise Ratio (SDNR) and the depth of the object, and the coefficient of variation (CV), namely the consistency of the SDNR value of an object to size change. In addition, Modulation Transfer Function (MTF) was also evaluated as additional parameter. Phantom images were taken with four filter variations (0 mm Al, 1 mm Al + 0.1 mm Cu, 1 mm Al + 0.2 mm Cu, and 2 mm Al) with and without antiscatter grid. This study shows that the in-house phantom can be utilized for Quality Control (QC) in the DR system but its use cannot be generalized to all DRs due to unique characteristics of each devices."

"Penggunaan prosedur radiologi diagnostik dalam pencitraan (imaging) yang memanfaatkan radiasi pengion khususnya sinar-X dalam dunia medis sangat berkembang pesat. Saat ini sistem digital yaitu Computed Radiography (CR) dan Digital Radiography (DR) menggantikan sistem radiografi konvensional, tetapi banyak rumah sakit dan fasilitas kesehatan tidak memiliki dosimetri dan juga alat untuk melakukan pengecekan terhadap kualitas peralatan tersebut. Dalam penelitian ini telah didesain fantom quick quality control (QQC) untuk sistem CR dan DR dengan mengamati parameter kualitas citra untuk kontras rendah dan juga kontras tinggi. Untuk penentuan kontras rendah dibuat obyek dengan variasi ukuran dan juga kedalaman obyek pada kuadran I dan IV sedangkan untuk kontras tinggi (resolusi spasial) ditambahkan obyek Leed test object dan juga lembaran Cu untuk mengukur nilai MTF pada kuadran II dan III.Untuk faktor eksposi yang digunakan adalah berkas standar RQA 3-RQA 7. Kemudian hasil citra yang diperoleh dievaluasi menggunakan imageJ untuk mendapatkan nilai SNR dan resolusi spasial. Hasil pengukuran dengan menggunakan fantom QQC didapakan bahwa untuk resolusi kontras rendah citra dengan menggunakan RQA 7 memenuhi kriteria detektabilitas. Sedangkan untuk resolusi spasial, nilai yang diperoleh berdasarkan MTF untuk CR berada pada rentang 2,38-2,59 lp/mm dan 2,45-3,00 lp/mm untuk DR. Sedangkan untuk bar pattern nilai resolusi spasial yang diperoleh berada pada rentang 3,15-3,55 lp/mm dan 2,24-2,5 lp/mm. Kemudian faktor konversi (rasio resolusi Leeds test dengan resolusi MTF) untuk sistem DR mendekati 1 sedangkan untuk sistem CR dalam rentang 1,22-1,49.

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The use of diagnostic radiology procedures in imaging (imaging) that utilizes ionizing radiation, especially X-rays in the medical world is growing rapidly. At present digital systems namely Computed Radiography (CR) and Digital Radiography (DR) replace conventional radiography systems, but many hospitals and health facilities do not have dosimetry and also tools to check the quality of the equipment. This research has designed a phantom quick quality control (QQC) system for CR and DR systems by observing image quality parameters for low contrast and high contrast. For the determination of low contrast, an object with variations in size and depth of objects in quadrants I and IV was made, while for high contrast (spatial resolution) Leed test object and Cu sheet were added to measure the MTF values in quadrants II and III. For the exposure factors used is the standard file RQA 3 - RQA 7. Then the image results obtained are evaluated using imageJ to obtain the SNR value and spatial resolution. The results of measurements using the QQC phantom are found that for low contrast resolution images using RQA 7 meet the detectability criteria. As for spatial resolution, the values obtained based on MTF for CR are in the range of 2,38 – 2,59 lp / mm and 2,45 – 3,00 lp/mm for DR. As for the bar pattern, the spatial resolution values obtained are in the range of 3,15 – 3,55 lp/mm and 2,24 – 2,5 lp/mm. Then the conversion factor (the ratio of the Leeds test resolution to the MTF resolution) for the DR system approaches 1 while for the CR system in the range 1.22 - 1.49."

"Penelitian ini bertujuan mengevaluasi karakter sistem DR menggunakan fantom in-house untuk mengetahui respon detektor DR. Pesawat DR GE Brivo DRF di eksposi untuk mengetahui karakter linearitas detektor, sensitifitas detektor, dan kualitas citra. Karakterisasi linearitas meninjau hubungan antara nilai piksel dan dosis, sedangkan sensitifitas meninjau hubungan antara dosis dan nilai eksposi (DEI). Karakter kualitas citra dievaluasi dengan parameter linearitas kontras (CL), konsistensi kontras (CV), dan MTF. Parameter CL, CV, dan MTF dievaluasi dengan variasi kVp, mAs, pada tiga simulasi anatomi. Hasil karakterisasi linearitas pada DR GE menunjukkan hubungan linier positif antara dosis dan nilai piksel, begitupun pada karakter sensitifitas. Nilai CL pada abdomen tidak dipengaruhi faktor eksposi sementara pada toraks dan kranial, nilai CL akan naik seiring kenaikan kVp dan lebih stabil pada mAs yang rendah.Karakter konsistensi kontras (CV) pada abdomen lebih stabil ketika nilai mAs rendah, sementara pada toraks dan kranial, nilai CV tidak dipengaruhi faktor eksposi. Karakter MTF 10% dan 50% pada abdomen, toraks, dan kranial menunjukkan hasil hampir identik pada tiap variasi namun lebih stabil pada keadaan mAs yang tinggi. Fantom in-house yang telah dibuat direkomendasikan untuk digunakan pada 70 kVp pada representasi anatomi abdomen, 120 kVp atau 115 kVp untuk mensimulasikan pemeriksaan thorax dan 65 kVp atau 80 kVp pada simulasi pemeriksaan cranial.

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The aim of this study is evaluating DR system character using in-house phantom to identify DR detector responses. DR GE Brivo DRF modality was exposed to discover detector linearity, detector sensitivity, and also image quality character. Linearity character was characterized by plotting the correlation between dose and DEI, while sensitivity was characterized by plotting the correlation between dose and pixel value. Character of image quality was determined by contrast linearity(CL), contrast consistency (CV), and MTF. These parameters were evaluated within exposing variaton such as kVp, mAs, and anatomy simulation. The detector sensitivity test results positive linearity correlation between dose and pixel value. Thiss is as same as result of detecteor lienarity test.

Character of contrast linearity on abdomen simulations results no correlation within exposing factors (kVp and mAs), meanwhile CL value on thorax and cranial tend to increase as kVp increasing. Character of contrast consistency in thorax simulation has no correlation with exposing factors, meanwhile CV value in abdomen and cranial simulation seems more stable on low mAs. Characters MTF 10% and MTF 50% on three anatomies showed almost identic results for each condition, however MTF values were more stable when they are on high mAs. The constructed in-house phantom was recommended to be used at 70 kVp when representing the abdominal anatomy, 120 kVp or 115 kVp for thorax examination and 65 kVp or 80 kVp in cranial examination simulation."