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Abstrak :
ABSTRAK
Tujuan penelitian ini adalah untuk melakukan pengembangan dan mengevaluasi derajat kompleksitas berbasis bukaan MLC statik menggunakan pengukuran detektor matrix Octavius, EPID, film Gafchromic dan dosis titik dan membandingkannya dengan penelitian-penelitian sebelumnya. Pengukuran derajat kompleksitas disarankan menjadi bagian program jaminan mutu teknik penyinaran intensity modulated radiation therapy IMRT dan volumetric modulated arc therapy VMAT . Serangkaian bukaan MLC statik berukuran kecil dan tak beraturan dibuat dalam penelitian ini untuk mewakili bukaan MLC statik pada teknik IMRT dan VMAT. Selanjutnya dilakukan perbandingan antara perbedaan dosis dose difference perhitungan TPS dengan hasil pengukuran detektor matriks Octavius, EPID dan film Gafchromic menggunakan perbandingan perbedaan dosis global piksel per piksel dengan kriteria passing rate 3 mm, 3 . Hasil perbandingan dosis tersebut bervariasi antara 72,67 sampai 100 . Nilai derajat kompleksitas dihitung menggunakan edge area metric, edge metric, converted aperture metric, modulation complexity score, rasio MU/Gy dan circumference per area dengan nilai korelasi Pearson nilai-r menunjukkan hubungan yang cukup linier terhadap kompleksitas bukaan MLC statis dengan nilai bervariasi antara -0.688 sampai dengan -0.999 untuk pengukuran film gafchromic dan -0.714 sampai dengan -1.000 untuk pengukuran EPID.

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ABSTRACT
The purpose of this study was to develop and to evaluate complexity metrics based on static MLC openings by using Octavius Detector, EPID, Gafchromic Film, and point dose measurement, and then compares them to the previous study. Complexity metrics have been suggested to be a part of quality assurance program for intensity modulated radiation therapy IMRT and volumetric modulated arc therapy VMAT techniques. A set of small and irregular static MLC openings were created as a representative of IMRT and VMAT radiation field segment. Furthermore, the dose difference between calculated and measured are evaluated using a pixel by pixel comparison with global dose difference criteria of 3 mm, 3 . The dose difference results were variated between 72.67 and 100 . The complexity scores was calculated by the edge area metric, edge metric, converted aperture metric, modulation complexity score, MU Gy ratio and circumference per area, show good linear those complexity metrics of the static MLC opening with the Pearson rsquo s r values variated between 0.688 and 0.999 for gafchromic film measurement and between 0.714 and 1.000 for EPID measurement.

Abstrak :
This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc.

Abstrak :
Pendahuluan: Radioterapi merupakan salah satu teknik penanganan kanker yang paling sering digunakan di bidang medis, khususnya menggunakan radiasi Sinar-X berenergi tinggi yang diproduksi dari pesawat radioterapi eksternal Linear Accelerator (LINAC). Diperlukan suatu algoritma yang akurat untuk memperkirakan dosis yang akan diterima oleh pasien. Metode: Kalkulasi dengan menggunakan metode superposisi berkas pensil menggunakan kernel berukuran 1 mm x 1mm pada permukaan fantom yang didapat dari hasil simulasi menggunakan metode Monte Carlo DOSYZnrc. Energi foton yang digunakan berupa pendekatan yaitu sepertiga dari energi maksimum foton sebesar 3,33 MeV dan 2 MeV yang merepresentasikan sinar-X 10 MV dan 6 MV. Penggeseran kernel dilakukan berdasarkan posisi geometris titik terhadap sumber. Hasil dan Pembahasan: Persentase kesalahan relatif terbesar terjadi pada permukaan fantom untuk seluruh energi. Untuk foton energy 3,33 MeV. Persentase kesalahan realtif konstan kurang dari 5% terjadi pada seluruh lapangan. Sedangkan untuk foton energy 2 MeV, persentase kesalahan realtif kurang dari 10 % dengan adanya peningkatan kesalahan untuk setiap kenaikan kedalaman. Terjadi pergeseran dmax pada seluruh lapangan. Pergeseran dmax terjadi akibat penggunaan foton monoenergetic pada kalkuasi yang mengakibatkan pengabaian energi foton yang lebih besar dan rendah dari energi rata-rata sinar-X. Ditambah lagi kalkulasi superposisi ini hanya dilakukan pada bidang 2 dimensi. Kesimpulan dan Saran: Penelitian ini dengan secara akurat memperkirakan persentase dosis radiasi sinar-X untuk daerah efektif pada fantom. Namun kurang akurat untuk memperkirakan dosis radiasi sinar-X pada daerah build up. Dibutuhkan beberapa penambahan metode lainnya untuk mengoptimasi waktu dan akurasi kalkulasi. Seperti penggunaan metode konvolusi dan pengabaian nilai piksel pada kernel yang bernilai mendekati nol untuk memperkecil ukuran kernel agar waktu kalkulasi bisa dipersingkat. Introduction: Radiotherapy is the most effective treatment method in treating cancer for medical treatment, particularly using the high voltage X-ray radiation generated from the Linear Accelerator (LINAC). In implementation, an accurate algorithm to estimate the dose distribution through patient is indispensable. Method: Percentage Depth Dose (PDD) calculation can be done using the pencil-beam superposition method. 1 mm x 1mm kernel from the phantom surface obtained using the Monte Carlo DOSYZnrc simulation. Photon energy approaches used in the form of one-third of the maximum photon energy of 3.33 MeV and 2 MeV which represents the 10 MV X-rays and 6 MV. Shifting the kernel is based on the geometric position of the point source. Results and discussion: Largest relative error occurs at the surface and in build up region of the phantom for all energies. For photon energy 3.33 MeV, error is less than 5 % in effective area. As for the photon energy 2 MeV, error is less than 10 % in effective area with a gradient for all field. The monoenergetic representation shift the dmax for all field. The error occurs due to the use of monoenergetic photons disobeying the other photon energies in the X-ray spectrum which has greater or less energies than the mean energy. It is also caused by the calculation has done in the 2 dimensional region. Conclusion and Suggestion: This experiment accurately compute the PDD in X-ray radiation for the effective area. But it failed to compute the PDD in the build up region. A few addition of other method can optimize this superposistion method to speed the calculation time ad improve the accuration. A suppression of the kernel dimension based on its prime value that is effective to speed up the calculation. And the calculation would be followed by the convolution method principle.