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All Journal Jurnal Fisika FLUX Jurnal Ilmu dan Inovasi Fisika
Payon, Fransiska Lipa
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Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Physics

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Improving the Quality of CT Images of Stroke Patients Using the SSDE and K-Means Segmentation in the Radiology Installation of RSUD A.W. Sjahranie Samarinda Putri, Erlinda Ratnasari; Payon, Fransiska Lipa; Missinychrista, Ronel Arida; Putri, Devina Rayzy Perwitasari Sutaji; Wardani, Pratiwi Sri; Subagiada, Kadek
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 1 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i1.17100

Abstract

Stroke examination using a CT scan is a technique that produces 3D brain images without having to do surgery. The purpose of this study was to determine the dose received by each patient who underwent a CT-scan procedure and to improve the image quality of the results. Optimization of the dose for each patient is based on a comparison between the calculated SSDE value and the DRL in the form of CTDIvol and DLP, which are implemented in Indonesia. Improving the quality of CT-Scan images through digital processing using the segmentation method to determine the stroke area. The method used is K-Means segmentation. The results obtained for the SSDE value are the dose received by the patient which is higher than the dose issued by the device or the  value. However, the SSDE, CTDIvol, and DLP values are still below the DRL standard range set by BAPETEN, so they are still within the safe inspection threshold. The average CTDIvol value, which is the output dose value of the device from 22 patients, was 41.84 mGy and the 75th percentile value was 42.7 mGy. The average DLP value is 1054.08 mGy.cm and the 75th percentile value of the DLP value is 964.13 mGy.cm. The average value of the SSDE value which is the value of the dose received by the patient is 43.39 mGy and the 75th percentile value is 42.440 mGy. Based on these results, the value of the dose received by the patient is higher than the value of the dose issued by the device. Segmentation using the K-Means method with the number of clusters k = 3 produces an accuracy of 86.3%. This means that the patient receives a dose of CT-Scan radiation within safe limits and his image can be processed properly, as evidenced by the high success of the segmentation process.
Segmentasi Citra CT-Scan Pada Stroke Menggunakan Metode Algoritma K-Means Clustering dan Thresholding di Rumah Sakit Samarinda Medika Citra Payon, Fransiska Lipa
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 8, No 2 (2024)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v8i2.54408

Abstract

Strokes examination using CT-Scan is a technique that produces 3D images of the brain without having to do surgery. The purpose of this study was to determine the results of strokes image segmentation using the K-Means Clustering and the Thresholding algorithm method at Samarinda Medika Citra Hospital, and to determine the results of the evaluation conducted by the Radiologist on the results of strokes image segmentation. Data processing in this study was carried out with qualitative techniques, i.e., observing and also evaluating the results of strokes image segmentation. The evaluation results for K-Means Clustering segmentation using k=3 are 70% correct. The evaluation results of the Thresholding method are 100% correct using the threshold value is 100-180. Based on the results of this study, the results of the Thresholding segmentation are more recommended for evaluation because they get the best threshold value.Keywords: K-Means Clustering, Strokes, Segmentation, Thresholding
Co-Authors Kadek Subagiada, Kadek Missinychrista, Ronel Arida Putri, Devina Rayzy Perwitasari Sutaji Wardani, Pratiwi Sri