Analisis Nilai Piksel Liver-Kidney Pada Citra Ultrasonografi Pasien Non-Alcoholic Fatty Liver Disease

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Published: Sep 7, 2019
DOI: https://doi.org/10.47313/jig.v21i2.607
Keywords:
filter gaussian filter wiener nilai piksel citra ultasonografi

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Suci Rahmawati
Program Studi Fisika, Fakultas Teknik dan Sains, Universitas Nasional, Jakarta
Samsun Samsun
Program Studi Teknik Radiodiagnostik, Politeknik Kesehatan Kementrian Kesehatan Jakarta II, Jakarta
Ari Mutanto
Program Studi Fisika, Fakultas Teknik dan Sains, Universitas Nasional, Jakarta
Ni Larasati Kartika Sari
Program Studi Fisika, Fakultas Teknik dan Sains, Universitas Nasional, Jakarta

Abstract

Studi ini bertujuan untuk mengetahui selisih nilai piksel Liver-kidney berdasarkan derajat perlemakan hati, perbandingan selisih nilai piksel Liver-kidney berdasarkan derajat perlemakan hati, dan membandingkan hasil analisis selisih nilai piksel Liver-kidney dengan diagnosis klinisi. Penelitian ini menggunakan 80 citra ultrasonografi dengan klinis Non-Alcoholic Fatty Liver Disease pada setiap derajat perlemakan hati dan citra normal, dan analisis nilai piksel dilakukan dengan software Matlab 2013a. Sebelum pengamatan nilai piksel, citra USG diproses dengan preprocessing terlebih dahulu. Adapun preprocessing memanfaatkan algoritma filtering berupa filter Gaussian dan filter Wiener. Hasil penelitian menunjukkan selisih nilai piksel semakin besar sesuai dengan derajat perlemakan hati. Penggunaan filter Gaussian dalam menentukan selisih nilai piksel liver-kidney lebih baik dibandingkan filter Wiener. Selain itu, penentuan selisih nilai piksel liver-kidney lebih sensitif pada citra kategori severe dibandingkan derajat perlemakan hati lainnya.

Article Details

How to Cite
Rahmawati, S., Samsun, S., Mutanto, A., & Sari, N. L. K. (2019). Analisis Nilai Piksel Liver-Kidney Pada Citra Ultrasonografi Pasien Non-Alcoholic Fatty Liver Disease. Jurnal Ilmiah Giga, 21(2), 44–49. https://doi.org/10.47313/jig.v21i2.607
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Vol. 21 No. 2 (2018): Volume 21 Edisi 2 Tahun 2018
Section
Articles

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