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All Journal Ilmu dan Budaya Jurnal Ilmiah Giga SANITAS: Jurnal Teknologi dan Seni Kesehatan
Budi Santoso
Program Studi Fiska, Universitas Nasional Jakarta
Arts Humanities Education Environmental Science Health Professions Medicine & Pharmacology Public Health

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Evaluasi Teknik Filtering Contrast Enhancement dan Edge Sharpening untuk Pengolahan Citra Ultrasonografi Prostat Ni Larasati Kartika Sari; Ryscha Dwi Iriani; Erna Yunika; Budi Santoso
Jurnal Ilmiah Giga Vol 24, No 1 (2021): Volume 24 Edisi 1 Tahun 2021
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47313/jig.v24i1.1076

Abstract

One of the modality to detect prostate’s abnormalities is ultrasonography (USG). Indonesia still relies on 2D USG images despite its weaknesses. In this research, image processing called Computer-Aided Diagnostic (CAD) was performed on 2D USG prostate images. This research is a basic CAD research to improve the quality of 2D USG images with various combination of image procesing methods. Evaluation of the processed images are performed by not only SNR method, but also evaluation from clinicians. Twenty prostate images were used with normal and abnormal diagnosis. Image processing methods used are median filter, wiener filter, gaussian filter, CLAHE (Contrast Limited Adaptive Histogram Equalization) contrast enhancement and image sharpening. Those methods were combined so there are three combinations to be evaluated. Among 3 combinations, gaussian filter combination has the highest SNR in normal and abnormal images. But, qualitative evaluation performed by clinicians shows that median filter combination has the best visualization of prostate capsule and prostate size. Evaluation from comparing pixel value and prostate size between normal and abnornal images shows that median filter combination has the biggest differences, 13.11, makes it the best combinaton to show different visualization of normal and abnormal prostate.
Optimizing Analysis Of The Radiographic Image And Entrance Surface Dose Using Computed Radiography In Chest Examination Nursama Heru Apriantoro; Budi Santoso; Purwantiningsih Purwantiningsih; Tri Ambarsari
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 9 No 2 (2018): SANITAS Volume 9 Nomor 2 Tahun 2018
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2018.11

Abstract

This research has conducted about exposure factor variation analysis examination of the thorax surface dose and image noise in radiography. Do 10 (ten) times the exposure in the thorax phantom with various exposure factor such as 50 kV- 8 mAs, 50 kV-10 mAs, 55 kV- 8 mAs, 55 kV-10 mAs, 55 kV-10 mAs, 60 kV- 8 mAs, 60 kV-10 mAs, 66 kV-8 mAs, 66 kV-10 mAs, and 102 kV- 1 mAs, 102 kV - 2,5 mAs for high kV technique. For each exposure factor the pinned , TLD placed in the middle of the field to measure the radiation dose level. The optimum exposure conditions of the thorax PA examination (expressed with IgM value) occurs when using exposure factor 55 kV and 8 mAs for IgM values ​​obtained are 1.91, 6.605 for standard deviation values ​​and ESD 0.098 mGy.
Aplikasi Image Enhancement untuk Peningkatan Kualitas Citra Ultrasonografi Ginjal Ni Larasati Kartika Sari; Inti Ermina Br Barus; Budi Santoso; Dewi Muliyati; Purwantiningsih Purwantiningsih; Idris Kusuma
Jurnal Ilmiah Giga Vol 25, No 1 (2022): Volume 25 Edisi 1 Tahun 2022
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47313/jig.v25i1.1627

Abstract

Abstract. Combination of four filters namely gaussian filter, median filter, wiener filter, average filter were tested using two contrast enhancement techniques, intensity adjustment and histogram equalization, were tested to improve the quality of kidney ultrasound images. The research was conducted using 40 images, consist of 9 normal images, 17 hydronerfosis images, and 14 kidney stones images. The measured image quality were PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error). The higher the PSNR and the lower the MSE, the better the image quality. Visual evaluation through questionnaires to clinicians has also been carried out to assess the visualization of the kidney and its abnormalities. The results of PSNR and MSE calculations showed that every image processings methods combinations produce different results in each image categories. However, whether in normal, hydronefrosis, or kindey stone categories, the combination of filters with image adjustment method gave the highest PSNR and lowest MSE. Meanwhile, the results of the visual evaluation from the clinicians showed that the best image enhancement technique in improving the visualization of abnormalities in kidney ultrasound images (Hydronephrosis and kidney stones) was the combination of a wiener filter with intensity adjustment, in accordance with the results of the PSNR measurement.Abstrak.  Telah diuji kombinasi empat metode filter yaitu gaussian filter, median filter, wiener filter dan average filter dengan peningkatan kontras, intensity adjustment dan histogram equalization untuk meningkatkan kualitas citra ultrasonografi ginjal. Penelitian dilakukan dengan menggunakan 40 citra, dengan rincian 9 citra normal, 17 citra Hydronerfosis, dan 14 citra batu ginjal. Kualitas citra yang diukur adalah PSNR dan MSE. Evaluasi visual melalui kuesioner terhadap klinisi juga telah dilakukan. Untuk citra normal, nilai PSNR tertinggi, yaitu 14.21 dan MSE  terendah, yaitu 2.62 diperoleh pada kombinasi median filter dengan intensity adjustment. Untuk citra hydronefrosis, PSNR tertinggi diperoleh pada kombinasi wiener filter dengan intensity adjustment, yaitu 4.42 dan nilai MSE terendah diperoleh pada kombinasi average filter dengan intensity adjustment, yaitu 3.37. Pada citra batu ginjal, nilai PSNR tertinggi diperoleh pada kombinasi wiener filter dengan intensity adjustment, yaitu 15.48, serta nilai MSE terendah merupakan kombinasi gaussian filter dengan intensity adjustment, yaitu 3.23. Sementara itu, hasil evaluasi visual dari dokter klinisi menunjukkan bahwa teknik image enhancement yang paling baik dalam meningkatkan visualisasi abnormalitas pada citra USG ginjal hydronefrosis dan batu ginjal adalah merupakan kombinasi wiener filter dengan  intensity adjustment, sesuai dengan hasil pengukuran PSNR.
Co-Authors Agung Nugroho Oktavianto Aloysius Mado Ari Mutanto Dewi Muliyati Dwi Bondan Panular Ella Nurlela Erna Yunika Febria Anita Firdaus Ariefatosa Harun Umar Idris Kusuma Inti Ermina Br Barus Lutfiana Desy Saputri Muh. Zakky Arizal Muzilman Muslim Ni Larasati Kartika Sari Ni Larasati Kartika Sari Nurlela, Ella NURSAMA HERU APRIANTORO Purwantiningsih Purwantiningsih Repi, Viktor Vekky Ronald Ryscha Dwi Iriani Ryscha Dwi Iriani Tri Ambarsari Tri Ambarsari