Evaluasi Penggunaan Filter Edge Enhancement pada Radiograf Thorax Penderita dengan Klinis Tuberkulosis Paru

Abstract

Introduction: According to the 2021 Global Tuberculosis Report, Indonesia has an estimated 824,000 TB cases, yet only 393,323 were recorded in the national system. Approximately 91% of Mycobacterium tuberculosis infections occur in the lungs, making transmission to healthy individuals highly likely. Chest radiography remains one of the key methods for diagnosing pulmonary tuberculosis.

Method: This analytical study used a cross-sectional approach. Researchers applied an edge enhancement filter to chest radiographs of patients with clinical pulmonary tuberculosis and then compared filtered and unfiltered images. A radiology specialist assessed both sets of radiographs based on predetermined evaluation criteria.

Results: A total of 30 chest radiographs were processed using an edge enhancement filter in MATLAB, producing 60 images: 30 without filtering and 30 with filtering. All images were reviewed by a radiology specialist for findings related to pneumothorax, pleural effusion, pleural thickening and calcification, fluidopneumothorax, cavities, interstitial opacities, nodules, miliary pattern, fibrosis, calcification, bullae, emphysema, bronchiectasis, atelectasis, ground-glass opacity, hilar and mediastinal lymphadenopathy, and mediastinal shift. Not all parameters were visible in every radiograph, as detectability depends on disease severity.

Conclusion: Edge enhancement filters influence the visual quality of chest radiographs. Their use increases contrast between adjacent structures, thereby improving the clarity of boundaries between normal and abnormal lung regions.