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All Journal Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Systematics Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Komtekinfo Jurnal Teknologi
Sumijan
Universitas Putra Indonesia YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image Syafri Arlis; Sarjon Defit; Sumijan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 3 (2022): Juni 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.37 KB) | DOI: 10.29207/resti.v6i3.4090

Abstract

Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.
Co-Authors Aktavera, Beni Andreas Malau Andres Boni Fakio Andri Nofiar Ardia Ovidius Bias Yulisa Geni Budi Permana Putra Caniago, Deosa Putra Daeng Saputra Perdana Darma Yunita Darmawi Dedi Irawan Dhio Saputra Dian Cyntia Dewi Dwiki Aulia Fakhri Eri Haryadi eriwandi Febri Aldi Febri Hadi Gunadi Widi Nurcahyo Hafiz Mursalan Hardiansyah Putra Irzal Arief Wisky Julius Santony Lili Amareza Patriani M. Arif M.Hafiz Alfansury Mahdiasa Sholihin Muhammad Hafizh Muhammad Iqbal Nindi Misyahdul Yuzi Nurhidayat Rezki - Rian Kurniawan Roni Salambue Sahyunan Harahap Sarjon Defit Sofika Enggari Suhefi Oktarian Syafri Arlis Syahid Hakam Abdul Halim Ulia Ulfa Yuhandri Yuhandri Zulfitri Yani