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Radiation Dose Optimization: Range Configuration on Computed Tomography Scans of Non-Contrast Head Scans with Hemiparese Cases Verina, Alya; Pradika, Fannisa Rahma; Rahardian, Arga Pratama; Setialam, Farid
Proceedings Series on Health & Medical Sciences Vol. 6 (2025): Proceedings of the 5th International Nursing and Health Sciences Universitas Muhammad
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pshms.v6i.1415

Abstract

Approximately 80% of stroke patients experience weakness/hemiparesis on one side of the body due to vascular abnormalities in certain hemispheres. If hemiparese is not treated immediately, it can cause permanent disability. Supporting examination that can be used to diagnose hemiparese is a non-contrast head CT scan. There are several ranges that can be applied to the examination. This affects the dose received by the patient. This study aims to compare the radiation dose (CTDIvol and DLP) in non-contrast head CT scan examination in hemiparese cases between the range from vertex to sinus maxillaris and the range from vertex to basic cranii. The research was conducted at KRT Setjonegoro Wonosobo Hospital in December 2023 using quantitative method. Data were obtained from a non-contrast head CT scan examination with hemiparese cases using the range vertex to sinus maxillary and range vertex to basic crani. Results: In the head CT Scan examination of hemiparese cases, the CTDIvol value for the range Vertex to sinus maxillaris and the range Vertex to basic cranii is 45.5 ± 12.6 mGy and 48.8 ± 14.6 mGy, while for the DLP for the range Vertex to sinus maxillaris is 609.8 ± 47.9 mGy.cm and for the range Vertex to basic cranii is 878.9 ± 42.1 mGy.cm. CTDIvol value is found to have no significant difference, but for the DPL value there is a significant difference in the non-contrast head CT scan examination without contrast with hemiparese cases The 2 CTDIvol and DLP values are still in accordance with the DRL recommendations recommended by Nuclear Energy Regulatory Agency (BAPETEN).
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).