Metode Line Profile untuk Menganalisis Citra Ultrasonografi pada Pemeriksaan Peripheral Arterial Disease (PAD)

Ni Larasati Kartika Sari, Rizky Hidayatulloh, Samsun Samsun

Abstract


Penelitian ini bertujuan menganalisis profil nilai piksel pada citra USG Peripheral Alrterial Disease (PAD) dengan metode line profile, menghitung nilai SNR dan mengembangkan program peningkatan kualitas citra menggunakan berbagai algoritma filtering dan contrast enhancement. Metode penelitian yang digunakan bersifat eksperimental melalui pengumpulan data citra normal dan abnormal lalu peningkatan kualitas citra menggunakan 3 filtering yaitu median filter, gaussian filter, wiener filter dikombinasi dengan 3 contrast enhancement yaitu global histogram equalization, CLAHE (Contrast Limited Adaptif Histogram Equalitation) dan Intensity Adjustment. Kemudian hasil kombinasi tersebut dihitung nilai SNR. Pengolahan citra dilanjutkan dengan line profile yaitu membuat 5 garis disetiap anatomi aliran darah PAD menggunakan ImageJ. Hasil penelitian menunjukan, secara umum, nilai SNR terbesar yaitu kombinasi antara algoritma filtering gaussian dengan global histogram equalization baik pada citra normal dan abnormal. Sementara itu, profil garis (line profile) pada citra normal menghasilkan grafik berbentuk parabola dan profil garis citra abnormal membentuk distribusi gaussian. Profile berbentuk parabola memperlihatkan bahwa nilai piksel bagian tengah citra yang menunjukkan aliran darah lebih kecil dibanding sekitarnya, yang berarti tidak terdapat penyumbatan. Sementara itu, puncak di bagian tengah profil citra abnormal menandakan citra terdapat nilai piksel tinggi. Maka daerah piksel tinggi menunjukan sumbatan pada pembuluh darah.

Keywords


peripheral arterial disease, median filter, gaussian filter, wiener filter, histogram equalization, CLAHE, intensity adjustment, line profile.

Full Text:

PDF

References


Abdulhannan P, Russell D A dan Homer-Vanniasinkam S. 2012. Peripheral arterial disease: a literature review. British Medical Bulletin; 104:21-39.

Kullo I J dan Rooke T W. 2016. Peripheral artery disease. N ENG J MED; 374:861-71.

Rekha Gautam, Ms. Rupali Bharti. 2018. Liver Ultrasound Image Enhancement Using Bilateral Filter. International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869 (O) 2454-4698 (P) Volume-8, Issue-4

Shyh-Kuang Ueng, Cho-Li Yen, and Guan-Zhi Chen. 2014. Ultrasound Image Enhancement Using Structure-Based Filtering. Computational and Mathematical Methods in Medicine. Page: 758439

Abdulhannan P, Russell D A dan Homer-Vanniasinkam S. 2012. Peripheral arterial disease: a literature review. British Medical Bulletin. 104:21-39.

Kullo I J dan Rooke T W. 2016. Peripheral artery disease. N ENG J MED. 374:861 71.

Wan Nur Hafsha Wan Kairuddin and Wan Mahani Hafizah Wan Mahmud. 2017. Texture Feature Analysis for Different Resolution Level of Kidney Ultrasound Images. IOP Conf. Ser.: Mater. Sci. Eng. 226 012136

Wan, M. H. 2011. Optimization of Pancreas Measurement Techniques Based on Ultrosound Images. Johor Bahru

Wan, M. H. 2011. Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques. Johor Bahru.

Ognjen Magud, Eva Tuba And Nebojsa Bacanin. 2016. An Algorithm for Medical Ultrasound Image Enhancement by Speckle Noise Reduction. International Journal of Signal Processing, Volume 1, ISSN: 2367-8984




DOI: http://dx.doi.org/10.47313/jig.v22i2.766

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Jurnal Ilmiah Giga

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Indexing by:

Crossref Metadata Search logo

References Style

Copyright notice

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Barcode online


Fakultas Teknik dan Sains, Universitas Nasional, Jakarta