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All Journal Medical Journal of Indonesia Journal of Medical Physics and Biophysics Journal of Physics and Its Applications
Djarwani Soeharso Soejoko
Departemen Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Indonesia
Astronomy Earth & Planetary Sciences Materials Science & Nanotechnology Medicine & Pharmacology Physics

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Metode line profile: pendekatan terhadap evaluasi kuantitatif citra Computed Radiography thoraks pada pasien pediatrik Halimah Harfah; Lukmanda Evan Lubis; Kristina Tri Wigati; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 5, No 1 (2018)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Tujuan dari penelitian ini adalah untuk menunjukkan fisibilitas metode line profile sebagai metode evaluasi kuantitatif citra computed radography thoraks pasien pediatrik. Sampel berupa 36 citra thoraks pediatrik yang terdiri dari 26 citra thoraks normal dan 10 citra thoraks abnormal, diperoleh dengan menggunakan sistem CR. Line profile dibuat dengan menggunakan perangkat lunak imageJ dan dikuantisasi menggunakan fortran 90. Setiap line profile diberi enam perlakuan (metode) yang berbeda, yakni tanpa modifikasi nilai piksel (metode I), modifikasi nilai piksel menjadi kontras region of interest (ROI) tulang (metode II), modifikasi nilai piksel menjadi kontras ROI thoraks (metode III), normalisasi rentang nilai piksel (metode IV), normalisasi rentang nilai piksel dan modifikasi kontras ROI tulang (metode V), serta normalisasi rentang nilai piksel dan modifikasi kontras ROI thoraks (metode VI). Verifikasi metode dilakukan dengan menggunakan coefficient of variation (CoV). Metode terbaik dipilih dan digunakan sebagai acuan line profile normal yang akan dibandingkan dengan line profile citra abnormal. Untuk membandingkan secara kuantitatif line profile normal dan abnormal, diskrepansi (δ) digunakan sebagai parameter. Hasil penelitian menunjukkan bahwa metode line profile dengan menggunakan normalisasi rentang nilai piksel adalah metode yang memiliki fisibilitas untuk membedakan citra normal dan abnormal. Dari metode ini, kelainan dengan δ terkecil adalah bronchitis dan δ terbesar adalah effusion. Penelitian lanjutan diperlukan untuk meningkatkan fisibilitas metode ini untuk kasus abnormalitas lain.
Optimisasi dosis dan kualitas citra pada radiologi diagnostik: langkah-langkah, tips, dan panduan praktis Lukmanda Evan Lubis; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 7, No 1 (2020)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Abstract

Potensi risiko radiasi pada pasien radiologi diagnostik menjadi isu yang menjadi perhatian khusus dalam konteks proteksi radiasi. Sebagai salah satu dari tiga prinsip proteksi radiasi, optimisasi menjadi upaya yang dikedepankan dalam menjamin keselamatan pasien. Deskripsi teknis mengenai panduan dan langkah-langkah optimisasi sejauh ini tidak tersedia dalam panduan nasional. Makalah ini menyajikan panduan praktis berdasarkan pengalaman dalam pelaksanaan optimisasi di fasilitas pelayanan kesehatan, dimana metode dan alur pelaksanaan menjadi fokus pembahasan. Hasil pelaksanaan optimisasi dan tips dalam setiap langkahnya juga diberikan sebagai contoh sederhana yang dapat memudahkan tenaga kesehatan dalam upaya pelaksanaan optimisasi di lingkungan kerjanya.
Computer Aided Diagnosis (CAD) for mammography with Markov Random Field method with Simulated Annealing optimization Ni Larasati Kartika Sari; Prawito Prajitno; Lukmanda Evan Lubis; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 4, No 1 (2017)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Mammography is the most effective technique to detect breast abnormalities. In most cases, mammograms are evaluated by radiologists. However, diagnosis performed radiologist has a lot of limitations. Computer Aided Diagnosis (CAD) with various methods had been developed to help radiologist in evaluating mammograms. This research developed CAD for mammography based on image segmentation using Markov Random Field with Simulated Annealing optimization (MRF/SA). We combined MRF/SA method with various preprocessing algorithms, such as median filter, histogram equalization, and CLAHE (Contrast Limited Adaptive Histogram Equalization). MRF/SA without any filter and contrast enhancement was also performed. A total of 210 mammograms with normal and abnormal findings were used. Abnormal category means mammogram with abnormalities findings whether in a form of benign lesion, malignant lesion, benign microcalcification or malignant microcalcification. ROC (Receiver Operating Characteristic) analysis was used to measure methods’ performance. The values of area under the ROC curve (AUC) for MRF/SA only, median filter + MRF/SA, histogram equalization + MRF/SA and CLAHE + MRF/SA are 0.731, 0.840, 0.798, and 0.746 respectively. Combination of median filter + MRF/SA has the highest AUC value indicated that this method has the best performance in distinguishing normal and abnormal images. Histogram equalization + MRF/SA has inferior AUC value compare to median filter + MRF/SA, but this combination has the highest sensitivity, 90.4%. This result shows that histogram equalization + MRF/SA is the most successful method in detecting abnormal images correctly.
Virtual study to investigate the detectability of breast abnormalities on 2D mammography and digital breast tomosynthesis Kristina Tri Wigati; Hannah Manssens; Liesbeth Vancoillie; Cockmartin Lesley; Djarwani Soeharso Soejoko; Hilde Bosmans; Kristina Bliznakova
Journal of Medical Physics and Biophysics Vol 5, No 1 (2018)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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This paper describes the use of virtual clinical trial software, as developed and improved in the frame of the Horizon2020 MaXIMA project, to study particular aspects of 2D mammography and digital breast tomosynthesis. A voxel-based breast phantom with inserted mathematical models of an irregular mass and two microcalcifications was created. Image acquisition was simulated by using XRAYImagingSimulator, while image reconstruction was accomplished with FDKR software. Series of images were created for different angular ranges with an identical total dose. Detectability of the abnormalities was investigated using visual assessment and quantitative measurements. The results agree with other studies in literature studying the same aspects and therefore confirm the value of the new framework for other future applications.
Estimasi entrance skin dose (ESD) pada simulasi pemeriksaan radiologi intervensional dengan perangkat lunak berbasis androidTM Icha Renisha Mulia; M. Roslan A. Gani; Lukmanda Evan Lubis; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 7, No 1 (2020)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Pada pesawat angiografi modern, dosis maupun DAP selama pemeriksaan ditampilkan pada  panel kendali. Namun, dosis tersebut tidak secara langsung menunjukkan dosis entrans kulit, utamanya pada pusat lapangan radiasi. Dengan menggunakan perangkat lunak berbasis AndroidTM telah dilakukan estimasi dosis entrans kulit pasien berdasarkan hasil pengukuran dengan fantom polymethyl methacrylate (PMMA). Dosis entrans kulit pasien yang dikalkulasi dengan mengacu pada Kerma at Reference Point (Ka,r) dan Dose Area Product (DAP) dilakukan dengan memasukkan koreksi geometrik akibat kemiringan gantri, atenuasi meja pasien, koefisien konversi kerma udara menjadi dosis serap, dan faktor hamburan balik. Hasil kalkulasi ESD merupakan dosis titik pada pusat lapangan radiasi, bukanlah dosis maksimum yang diterima kulit pasien. Hasil kalkulasi dibandingkan dengan hasil pengukuran ESD pada simulasi dengan fantom PMMA. Penelitian dilakukan dengan pesawat angiografi Siemens Artis Zee dengan kondisi eksposi 69-87 kV dan filter tambahan 0,1 mmCu.  Pengukuran dengan thermo-luminescent dosemeters (TLD) dilakukan pada proyeksi penyinaran posterior-anterior (PA), left anterior oblique (LAO), right anterior oblique (RAO), cranial (CRA) dan caudal (CAU). Diskrepansi ESD hasil kalkulasi dan ESD pengukuran memiliki rata-rata 0,66-5,25%  untuk kalkulasi mengacu  DAP dan 0,52-5,17%. untuk kalkulasi mengacu Ka,r. 
Pengaruh Antiscatter grid Terhadap Dosis dan Kualitas Citra pada Prosedur Radiologi Intervensional Eka Aulia Ardyanti; M. Roslan Abdul Gani; Lukmanda Evan Lubis; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 6, No 1 (2019)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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The study discusses the threshold of thickness required for antiscatter grid use on Siemens Artis Zee at “Dharmais” National Cancer Center, Jakarta. The device has adjustable modes of low, medium, and high fluoroscopy. Patients are represented by Polymethyl Methacrylate (PMMA) phantom with a thickness variation of 7-22 cm of 1 cm interval. The dose metrics was measured as the entrance skin dose (ESD) and the transmission dose, while the image quality metric employed being signal to noise ratio (SNR), leading the result to FOM as squared SNR per dose. The FOM bridged dose and image quality to determine threshold of antiscatter grid usage on fluoroscopy based on fantom thickness. As a result, antiscatter grid are recommended to be used for objects 11 cm and thicker on the use of low fluoroscopy mode, and 16 cm and thicker objects on high fluoroscopy mode. In medium fluoroscopy mode, no threshold was yielded due to tube current being higher than other modes, hence it is recommended to remove the antiscatter grid during the use of the medium fluoroscopy mode
Kuantisasi dan analisis citra computed radiography pada pemeriksaan sinus paranasal pasien pediatrik dengan metode line profile Sari Yuliani; Lukmanda Evan Lubis; Nurlely Nurlely; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 5, No 1 (2018)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Abstract

Pada penelitian ini dilakukan pengujian dari metode line profile, suatu metode kuantisasi citra CR yang memiliki potensi penggunaan sebagai alat bantu bagi ahli radiologi dalam interpretasi citra radiologi. Metode line profile memberikan pertimbangan referensi kuantitatif tambahan dengan obyektivitas tinggi, serta mendeteksi abnormalitas yang mungkin tidak terlihat secara visual. Sampel berupa citra CR dari 45 pasien pediatrik dengan rentang usia 1-5 tahun, 5-10 tahun, dan 10-15 tahun dibagi berdasarkan anatomi yang dijadikan objek kuantisasi yaitu konka nasalis inferior, sinus maksilla, sinus frontal, sinus sphenoid, dan sinus ethmoid, dan dianalisa menggunakan metode line profile. Garis uji (line profile) dibuat dengan posisi dan ukuran tetap terhadap acuan berupa tulang (bony landmark) dengan menggunakan perangkat lunak ImageJ. dan kuantitatif; yakni membandingkan line profile pasien terdiagnosa abnormal dengan baseline dari line profile pasien terdiagnosa normal. Hasil penelitian menunjukkan bahwa secara kualitatif metode ini menunjukkan efektivitas untuk anatomi objek konka nasalis inferior, sinus maksilla, dan sinus frontal dengan kecocokan antara kuantisasi dan hasil diagnosa radiolog sebesar 82%, 81%, dan 100% berturut-turut.  Sedangkan secara kuantitatif metode ini efektif untuk objek sinus maksilla dan sinus frontal dengan tingkat kecocokan 89% pada sinus maksilla dan 50% pada sinus frontal.
Pengukuran MTF (Modulation Transfer Function) berdasarkan LSF (Line Spread Function) dan PSF (Point Spread Function) pada pesawat PET/CT dan SPECT/CT Sharah Nataz Shilfa; M. Roslan Abdul Gani; Intan Apriliani Syaridatul Mu’minah; Fery Ardiansyah; Lukmanda Evan Lubis; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 6, No 1 (2019)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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This study aims to know the value of MTF obtained by using two methods: LSF (Line Spread Function) and PSF (Point Spread Function) on PET/CT and SPECT/CT. Measurement done with LSF method performed by thin flood source 18F or 99mTc 12 mCi, while PSF using thin line source 18F atau 99mTc 2 mCi with diameter 0.5 mm. The MTF calculations are performed based on image profile, for PET/CT assisted by 3 filter types and 4 reconstruction algorithms while SPECT/CT based on collimator variation. MTF calculation method have done based on Tsujioka et al. (2014) by combining the ImageJ, MATLAB, and Origin spreadsheet. System performance is determined at 10% MTF. The measurement results on PET/CT showed MTF highest value obtained by the Butterworth filter and reconstruction algorithm Iterative, Iterative 3D, and Backprojection with identical MTF value (0.155 cycles/mm) for LSF method, while PSF method by using Butterworth filter and Backprojection reconstruction algorithm obtained value 0.15 cycles/mm. In SPECT/CT, the second detector with LEHR collimator give MTF value to the LSF method and PSF method sequently 0.104 cycles/mm and 0075 cycles/mm. Based on the advantages and disadvantages of both methods, generally the PSF method is recommended as a spatial resolution QC program for nuclear medicine modalities.
Mean Glandular Dose and CDMAM Phantom Image Quality for Siemens Mammomat Inspiration Hanna Vita Paulana; Kristina Tri Wigati; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 2, No 1 (2015)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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In performing breast screening, a mammography must be capable of imaging microcalcifications with the smallest possible size. However, the mean glandular dose (MGD) should not exceed the recommended limits. To achieve the goal then the utilization of target/filter combination should be adjusted to the thickness of the breast. The evaluation of image quality against variations in target/filter combinations can be done by using CDMAM phantom. There are two methods of CDMAM phantom image quality assessment, and the digital method is considered superior to the manual one. In addition to the evaluation of image quality, MGD received by the phantom was also calculated by multiplying the air kerma value at each thickness with the air kerma conversion factor into MGD. The calculation of MGD follow the equation and convertion factor that published by IAEA Human Health Series No. 17 – Quality Assurance Programme for Digital Mammography, then being compared with three another publication. The best image quality for the phantom thickness below 32 mm achieved by using Mo/Mo target/filter combination, meanwhile for the fantom thickness above 45 mm achieved by using Mo/Rh.
Computer-Aided Detection (CAD) Deteksi Nodul Paru-Paru dari Computed Tomography (CT) Osas Lisa Istifarinta; Prawito Prajitno; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 9, No 1 (2022)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Nodul paru merupakan pertumbuhan jaringan abnormal pada paru yang digunakan sebagai diagnosis dini kanker paru. Kanker paru-paru adalah kanker yang paling banyak ditemukan dan mematikan di dunia. Umumnya, deteksi pertama nodul paru diperoleh dari citra CT yang didiagnosis secara visual oleh ahli radiologi. Artinya subjektivitas individu radiologis berpengaruh dalam citra diagnosis tersebut. Untuk membantu ahli radiologi dalam mendeteksi dan mengevaluasi nodul paru pada citra CT secara otomatis, penelitian ini telah mengembangkan sistem Computer-Aided Detection (CAD). Sistem CAD menggunakan metode segmentasi Otsu, dengan ekstraksi fitur Gray Level Co-occurrence Matrix (GLCM) sebagai input untuk klasifikasi nodul. Algoritma Random Forest digunakan untuk membedakan antara normal dan abnormal pada citra CT, khususnya citra dengan kelainan nodul paru. Evaluasi estimasi keberadaan nodul paru pada sistem dilakukan menggunakan Receiver Operating Characteristic (ROC) dengan sensitivitas 95%.Kata Kunci: CAD, CT dada, Deteksi nodul paru, Random Forest
Co-Authors Arvi Razanata Cockmartin Lesley Eka Aulia Ardyanti FERY ARDIANSYAH Halimah Harfah Hanna Vita Paulana Hannah Manssens Hilde Bosmans Icha Renisha Mulia Intan Apriliani Syaridatul Mu’minah Julia, Siti Kristina Bliznakova Kristina Tri Wigati Kristina Tri Wigati Kristina Tri Wigati laela Sari, laela Liesbeth Vancoillie Lubis, Lukmanda Evan M. Roslan A. Gani M. Roslan Abdul Gani M. Roslan Abdul Gani Ni Larasati Kartika Sari Osas Lisa Istifarinta Prawito Prajitno Prawito Prajitno Prawito Prajitno Sari Yuliani Sharah Nataz Shilfa Sihono, Dwi Seno Kuncoro Yessie Widya Sari Yundari, Yundari