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"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)."

"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 untuk mendapatkan kombinasi parameter yang optimal dalam simulasi pemeriksaan kranial, toraks, dan abdomen menggunakan sistem digital radiography (DR). Optimasi dilakukan menggunakan phantom in-house dengan objek kontras pada DR Siemens Luminos Agile Max. Pasien pediatrik dipisahkan menjadi empat kelompok usia; grup A (0-1 tahun), grup B (1-5 tahun), grup C (5-10 tahun), dan grup D (10-15 tahun). Kombinasi lapisan PMMA dan cork dengan ketebalan total yang berbeda digunakan untuk mensimulasikan pasien yang termasuk dalam setiap kelompok usia untuk wilayah anatomis yang berbeda (kranial, toraks, dan abdomen). Optimasi dilakukan dalam tiga langkah; kVp, diikuti oleh mAs, dan kemudian optimasi filter tambahan. Semua langkah optimasi dilakukan berdasarkan nilai FOM (figure of merit) yang dihitung sebagai rasio SDNR (signal difference to noise ratio) kuadrat dan entrance surface dose dengan FOM tertinggi yang mewakili kondisi optimum. Hasil dari optimasi ini dievaluasi berdasarkan FOM tertinggi yang dihasilkan dari setiap eksposi. Adapun MTF dan CV digunakan sebagai parameter pembanding terhadap nilai FOM yang rancu. Dalam pemeriksaan kranial, FOM tertinggi dihasilkan oleh faktor eksposi 44 kV, 3.2 mAs, dan 0 mmCu atau tanpa filter (A), 46 kV, 5.6 mAs, dan 0.1 mmCu (B), 49 kV, 7.1 mAs, dan 0.2 mmCu (C) dan 50 kV, 9 mAs, dan 0.1 mmCu (D). Untuk pemeriksaan toraks, nilai FOM tertinggi dihasilkan oleh faktor eksposi 45 kV, 2,5 mAs, dan 0,2 mmCu (A), 45 kV, 4 mAs, dan 0.2 mmCu (B), 46 kV, 5.6 mAs, dan 0.2 mmCu (C), dan 47 kV, 6.3 mAs, dan 0.2 mmCu (D). Untuk pemeriksaan abdomen, nilai FOM tertinggi dihasilkan oleh faktor eksposi 48 kV, 4 mAs, dan 0.1 mmCu (A), 50 kV, 6.3 mAs, dan 0.2 mmCu (B), 53.5 kV, 8 mAs, dan 0 mmCu (C), dan 58.5 kV, 8 mAs, dan 0 mmCu (D).

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This study was aimed to obtain optimum parameter combination in simulated cranial, thorax, and abdominal examinations using digital radiography (DR) systems. Optimization was performed using in-house phantom with contrast objects on Siemens Luminos Agile Max DR. Paediatric patients were separated into four age groups; group A (0-1 year), group B (1-5 years), group C (5-10 years), and group D (10-15 years). Slab phantoms consisted of PMMA and cork with different total thickness were used to simulate patients belonging to each age group for different anatomical region (cranial, thorax, and abdomen). Optimization were performed in three steps; first kVp, followed by mAs, and then additional filter optimization. All the steps of optimization were performed based on FOM (figure of merit) values calculated as ratio of squared SDNR (signal difference to noise ratio) and entrance surface dose with the highest FOM representing the optimum condition.

The results of this optimization were evaluated based on the highest FOM generated from each exposure. For this DR, optimum parameters (i.e. highest FOM) are different for each age group and anatomical region. In cranial examination, the highest FOM are generated by exposure factors of 44 kV, 3.2 mAs, and 0 mmCu filter (A), 46 kV, 5.6 mAs, and 0.1 mmCu filter (B), 49 kV, 7.1 mAs, and 0.2 mmCu filter (C) and 50 kV, 9 mAs, and 0.1 mmCu filter (D). For thorax examination, the highest FOM value is generated by exposure factor 45 kV, 2.5 mAs, and 0.2 mmCu (A), 45 kV, 4 mAs, and 0.2 mmCu (B), 46 kV, 5.6 mAs, and 0.2 mmCu (C), and 47 kV, 6.3 mAs, and 0.2 mmCu (D). For abdominal examination, the highest FOM value is produced by exposure factor 48 kV, 4 mAs, and 0.1 mmCu (A), 50 kV, 6.3 mAs, and 0.2 mmCu (B), 53.5 kV, 8 mAs, and 0 mmCu (C), and 58.5 kV, 8 mAs, and 0 mmCu (D)."

"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 penggunaan Computed Radiography (CR) dalam radiologi diagnostik telah berkembang pesat. Saat ini ada beberapa merk CR yang banyak digunakan di Indonesia yang salah satu diantaranya adalah merk Fuji. Dalam pengambilan data citra CR dikenal dengan istilah pre-prosessing dan post-prosessing. Data citra pada pre-prosessing merupakan data citra yang belum mengalami proses komputerisasi pengolahan citra pada CR Fuji. Salah satu kekurangan dalam dalam data citra pre-prosessing adalah adanya noise dan kekaburan yang dapat menurunkan kualitas citra. Telah dilakukan penelitian dengan menggunakan alat uji Leeds Test Object Type 18 (High Contrast) dan Test Object 20 (low contrast).. Citra yang diperoleh dari pre-prosessing dan post prosessing kemudian dibandingkan. Sistem filtrasi yang terdapat pada Matlab digunakan untuk tujuan meningkatkan kualitas citra yang diperoleh dari pre-prosessing CR Fuji. Analisis dilakukan dengan menghitung kontras dan nilai SNR terhadap citra yang telah difiltrasi. Sistem filtrasi yang digunakan adalah imadjust, imsharpen, imhisteq dan adapthisteq. Setelah itu aplikasi penggunaan filtrasi dilakukan dengan citra foto thoraks, abdomen dan kepala.Hasil penelitian menunjukan filtrasi dengan imadjust terhadap Leeds Test Object Type 18 (High Contrast) telah meningkatkan kontras citra rata-rata sebesar 59,86 %, sedangkan filtrasi menggunakan imsharpen telah meningkatkan kontras citra rata-rata sebesar 59,29 %. Filtrasi terhadap leeds test TO 20 (low contrast) telah meningkatkan kontras rata-rata sebesar 10,14 %. Peningkatan kontras dan resolusi ditandai secara visual semakin terlihatnya kelompok 1 lingkaran 7. Selain meningkatkan kontras, filtrasi juga memberikan noise terhadap citra yang difiltrasi. Peningkatan noise yang terjadi pada citra setelah difiltrasi adalah rata-rata sebesar 11,22 %. Peningkatan noise tersebut ditandai dengan nilai SNR yang semakin menurun.

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Use of technology Computed Radiography (CR) in diagnostic radiology has been growing rapidly. Currently there are several brands CR which is widely used in Indonesia, one of them is a trademark of Fuji. In taking the CR image data is known as pre-processing and post-processing. The image of pre-processing is the image that has not undergone a process of computerized processing on Fuji CR. One of the flaws in the image pre-processing is the presence of noise and fuzziness that can degrade image quality. Studies have been conducted using test equipment leeds test object type 18 (high contrast) and test object 20 (low contrast). The image obtained from the preprocessing and post processing, then compared. Filtration system contained in Matlab is used for the purpose of improving the quality of the image obtained from the pre-processing. The analysis was performed by calculating the contrast value and SNR value of the image that has been filtered. The filtration system used is imadjust, imsharpen, imhisteq and adapthisteq. After the application of the use of filtration is done to the image of chest x-ray, abdomen and skull.The results studies showed filtration with imadjust against leeds test object type 18 (high contrast) has improved image contrast on average by 59.86 %, while filtration using imsharpen has improved image contrast on average by 59.29 %. Filtration of the leeds test TO 20 (low contrast) has improved the contrast on average by 10.14 %. Improved contrast and resolution marked visually more visibility of group 1 loop 7. In addition to improving contrast, filtration also provides noise to the image. Increased noise that occurs in the image after filtered was an average of 11.22 %. Increased noise is characterized by decreasing SNR value."

"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."

"Pemeriksaan Radiografi Thorak Posteroanterior (PA) merupakan pemeriksaan terbanyak didalam radiodiagnostik, diperlukan optimasi dosis dan citra radiografi Thorak PA. Penelitian teknik optimasi dengan menggunakan teknik kV tinggi pada pemeriksaan Radiografi Thorak PA dengan menggunakan reseptor system Kodak CRperlu dilakukan. Pengambilan citra radiografi Thorak PA dilakukan dengan objek fantom thorak dan sample pasien, untuk mengeliminir penilaian subjektif diambil citra radiografi fantom TOR 18 FG dan TOR CDR. Pada saat pengambilan citra radiografi thorak PA dilakukan pengukuran dosis masuk permukaan (Entrance surface dose / ESD ) dengan mengunakan TLD. Evaluasi citra radiografi thorak PA menggunakan 'quality criteria' European Commission EUR 16260 EN (1996). European Guidelines On Quality Criteria For Diagnostic Radiographic Images. Evaluasi dosis dengan membandingkan dengan dosis referensi dari IAEA BSS 115.Hasil evaluasi dosis pada fantom thorak, dari tiga variasi faktor eksposi 66 kV 8 mA, 85 kV 6.3 mAs dan 109 kV 2.2 mAs, dosis paling kecil dihasilkan dari faktor eksposi 109 kV 2.2 mAs. Hasil evaluasi citra pada TOR 18 FG dan TOR CDR didapatkan sensitifitas kontras rendah, sensitifitas kontras tinggi dan resolusi pada kondisi 109 kV 2.2 mAs lebih besar daripada kondisi 66 kV 8 mAs. Hasil evaluasi gambaran thorak PA dengan mengunakan kondisi eksposi 109 kV 2.2 mAs dibandingkan dengan kondisi eksposi 66 kV 8 mAs kontras pada jaringan yang memiliki perbedaan kerapatan yang besar akan terjadi penurunan kontras. Sedangkan pada jaringan yang memiliki perbedaan kerapatan yang relatif kecil atau sama akan menaikkan kontras.

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The Posterior-Anterior (PA) Examination of the thorax is the most frequent radio-diagnostic procedure. Optimization of dose and image of the PA thoracic radiography is required.This research was conducted to determine the optimal of techniques using high kV technique on thoracic radiography PA examination by using the Kodak CR system receptor and the patient sample, to eliminate the subjective assessment of radiographic image taken TOR 18 FG and TOR CDR phantom. At the time of image acquisition PA Thorax radiographs were performed, entrance surface dose measurements (ESD) were made using the TLD. The evaluation of the thoracic radiographic image of the PA using the quality criteria European Commission EUR 16260 EN (1996) European Guidelines On Quality Criteria For Diagnostic radiographic Images were made. An evaluation of dose by comparing with a reference dose of the IAEA BSS 155 was conducted.In the results of dose evaluation in thoracic phantom of the three variations of exposure factor: 66 kV 8 mAs, 85 kV 6.3 mAs and 109 kV 2.2 mAs, the smallest dose resulted from 109 kV 2.2 mAs exposure factor.

The result of the evaluation on TOR 18 FG and TOR CDR obtained low contrast sensitivity. The contrast sensitivity and higher resolution on the condition of 109 kV 2.2 mAs were larger than the condition of 66 kV 8 mAs. The results of the evaluation of thoracic image of PA by using the condition of 109 kV 2.2 mAs were comparable to the conditions of 66 kV 8 mAs contrast to the tissue that has large density differences that will decrease the contrast. While on a tissue that has relatively small density difference, or the same will increase the contrast."

"Penelitian ini bertujuan untuk membuat fantom payudara yang menerapkan analisis kontras detail dengan latar berstruktur untuk uji kualitas citra pada modalitas Mamografi dan Digital Breast Tomosynthesis. Penelitian ini dibagi menjadi 3 tahap, yakni; pembuatan, validasi, dan studi aplikasi fantom. Tahap pembuatan fantom mencakup pemilihan material fantom serta desain dan fabrikasi fantom. Pada tahap validasi, faktor eksposi dan nilai piksel dari citra fantom dibandingkan dengan mamogram klinis. Pada tahap studi aplikasi, fantom untuk menguji kualitas citra Mamografi dan DBT dengan mengukur signal-to-difference noise ratio (SDNR), dan ketajaman citra (Full width half maximum (FW HM) dan artifact spread function (ASF)) pada 3 level dosis (1/2 automatic exposure setting (AEC), AEC dan 2 AEC). Contrast detail structured phantom berhasil diproduksi dengan variasi ukuran dan posisi objek mikrokalsifikasi. Nilai piksel target memiliki kesamaan 85,34 %, dengan nilai piksel mikrokalsifikasi mamogram klinis, sedangkan latar fantom memiliki kesamaan 86,07 % dengan jaringan payudara pasien. Studi aplikasi menunjukkan bahwa fantom dapat digunakan untuk menguji kualitas citra khususnya terkait detail mikrokalsifikasi. Perbedaan posisi target dan level dosis mempengaruhi hasil pengukuran. Contrast detail structured phantom telah berhasil diproduksi dan diujicobakan; fantom ini dapat digunakan untuk menguji kualitas citra pesawat mamografi dan DBT dengan mempertimbangkan struktur heterogen pada jaringan payudara

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This work is aimed to construct a contrast detail structured phantom for mammography and Digital Breast Tomosynthesis. The study was divided into 3 stages: production, validation and application. Production stage covered materials preparation, design and fabrication phantom. In validation stage, the phantom was compared to clinical mammogram in terms of exposure settings used in the image acquisition and their pixel values. Last stage was to study the application of the phantom to assess the image quality of mammography and DBT systems in terms of signal difference-to-noise ratio (SDNR), and sharpness (fullwidth half maximum, FWHM and artifact spread function, ASF) at 3 dose level (1/2 × automatic exposure control (AEC), AEC and 2 × AEC settings). The contrast detail structured phantom was successfully created with variations on microcalcification object size and position. In comparison with clinical mammogram, maximum pixel value of Sn sphere shows 85,34 % similarity while their background tissue had 86,07 % similarity. The study of applications of the phantom shows that the phantom can be used to assess the image quality particularly to detail of microcalcifications. The position of targets and dose level settings afflicted the measured parameters. The contrast detail structured phantom has been successfully construct and studied; this phantom allows assessing image quality of digital mammography and DBT by including the presence of structured breast tissue -like

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"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."