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All Journal Medical Imaging and Radiation Protection Research (MIROR) Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Febriana, Chindi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Physics

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DIFFERENCES IN DWI IMAGE INFORMATION WITH VARIATION IN B-VALUE IN MRI BRAIN CASES TUMOR Febriana, Chindi; Susanto, Fani; Fitriana, Lutfatul; Oviyanti, Pradana Nur
Medical Imaging and Radiation Protection Research Journal Vol 3 No 2 (2023): Medical Imaging and Radiation Protection Research (MIROR) Journal
Publisher : LPPM Universitas Awal Bros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54973/miror.v3i2.358

Abstract

Diffusion Weighted Imaging (DWI) is a sequence used in brain tumor cases to assess molecular movement (diffusion). DWI is influenced by the selection of the b-value parameter which results in differences in the generated signal. The aim of this study is to determine the differences in b-value variations of 500, 1000, 1500 s/mm2 in brain tumor cases and identify the most optimal variation. This study is a pre-experimental study conducted using a 1.5 Tesla Philips MRI machine at a private hospital in South Jakarta from March to April 2023. The sample consisted of twelve DWI MRI images with different b-value variations. Visual grading analysis was performed by three radiology specialists, and the data were analyzed using the Friedman test in SPSS. The results showed a significant difference in image information based on the use of different b-value variations, with a pvalue of 0.05 (2.36). The use of a b-value of 1000 s/mm had the highest mean rank in the basal ganglia, cerebellum, thalamus, pons, gray matter, and lesions. The difference in image information with b-value variations visualized different brain tumor representations due to increased noise with higher b-values and suboptimal image sharpness with lower b-values due to low signal intensity. The use of b-value variations of 500, 1000, 1500 s/mm2resulted in differences in anatomical image information in sequences DWI MRI brain axial of brain cases tumor due to differences in image noise and signal intensity, with a b-value of 1000 s/mm being the most optimal variation.
Analysis of Histogram and Grayscale on Chest X-Ray in Lung Cancer Using Image-J Susanto, Fani; Utami, Hernastiti Sedya; Pradika, Fannisa Rahma; Idris, Festyana Fillauhid; Febriana, Chindi; Kurniawan, Martindra Yoni
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.175

Abstract

Cancer often attacks the human body, one of which was the lung, and lung cancer was the main cause of death from cancer. Posteranterior (PA) chest radiographic examination is a screening tool for the diagnosis of lung cancer. The computed radiography (CR) modality produces thoracic images quickly and optimally and can be processed as needed, but so far, radiologists have only interpreted images with visual and subjective assessments. So that digital medical image processing is needed by looking at the histogram and gray scale values to increase the quantitative accuracy of lung cancer enforcement, This study aims to analyze the comparison of histograms and grayscale values on CR thoracic images between normal and lung cancer patients. This type of quantitative experimental research was carried out on a sample of 100 chest images consisting of a control group in normal patients and a treatment group in lung cancer patients, totaling 50 images each. Purposive sampling was used for the control group in patients aged 18–60 years and normal, and for the treatment group in patients aged 18–60 years and lung cancer clinicians. All images were calculated in grayscale and displayed as histogram graphics with the Image-J application, and the region of interest (ROI) was performed on the lung lobes at the point of fog or gloom due to pathology, then analyzed statistically using the Independent T-Test. The results show that there is a difference in grayscale values between normal chest images and lung cancer (p 0.001). The grayscale and histogram values in lung cancer chest images (104.780+5.942) are higher and tend to the right compared to the grayscale and histogram values in normal chest images (65.361+3.313).
DIFFERENCES IN DWI IMAGE INFORMATION WITH VARIATION IN B-VALUE IN MRI BRAIN CASES TUMOR Febriana, Chindi; Susanto, Fani; Fitriana, Lutfatul; Oviyanti, Pradana Nur
Medical Imaging and Radiation Protection Research Journal Vol 3 No 2 (2023): Medical Imaging and Radiation Protection Research (MIROR) Journal
Publisher : LPPM Universitas Awal Bros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54973/miror.v3i2.358

Abstract

Diffusion Weighted Imaging (DWI) is a sequence used in brain tumor cases to assess molecular movement (diffusion). DWI is influenced by the selection of the b-value parameter which results in differences in the generated signal. The aim of this study is to determine the differences in b-value variations of 500, 1000, 1500 s/mm2 in brain tumor cases and identify the most optimal variation. This study is a pre-experimental study conducted using a 1.5 Tesla Philips MRI machine at a private hospital in South Jakarta from March to April 2023. The sample consisted of twelve DWI MRI images with different b-value variations. Visual grading analysis was performed by three radiology specialists, and the data were analyzed using the Friedman test in SPSS. The results showed a significant difference in image information based on the use of different b-value variations, with a pvalue of 0.05 (2.36). The use of a b-value of 1000 s/mm had the highest mean rank in the basal ganglia, cerebellum, thalamus, pons, gray matter, and lesions. The difference in image information with b-value variations visualized different brain tumor representations due to increased noise with higher b-values and suboptimal image sharpness with lower b-values due to low signal intensity. The use of b-value variations of 500, 1000, 1500 s/mm2resulted in differences in anatomical image information in sequences DWI MRI brain axial of brain cases tumor due to differences in image noise and signal intensity, with a b-value of 1000 s/mm being the most optimal variation.
Co-Authors Fitriana, Lutfatul Idris, Festyana Fillauhid Kurniawan, Martindra Yoni Oviyanti, Pradana Nur Pradika, Fannisa Rahma Susanto, Fani Utami, Hernastiti Sedya