Akademik Veri Yönetim Sistemi
3. BİLSEL INTERNATIONAL TRUVA SCIENTIFIC RESEARCHES and INNOVATION CONGRESS , Çanakkale, Türkiye, 25 - 26 Mayıs 2024, ss.341-346
Interstitial Lung Diseases (ILD) are a group of diseases with a chronic or acute course that cause
different degrees of inflammation, structural deterioration and fibrozis in the interstitium (air sacs) tissue of the
lung. Interstitial Lung Fibrozis Disease (IAF) occurs when the fibrous tissue thickens in the interstitium area,
the spongy state disappears, and lung images resembling different patterns such as honeycomb are formed.
Early diagnosis of this disease, which has a significant prevalence especially in older ages, and effective
contribution to the treatment process are very important. The aim of this study is to perform the segmentation
of disease areas in patients with Idiopathic Pulmonary Fibrozis (IPF) using high-resolution Computed
Tomography (CT) images and morphological image processing-based methods. The CT images related to the
relevant disease were obtained with the approval of the Clinical Research Ethics Committee of the Department
of Chest Diseases at Erciyes University Hospital. In this study, CT images of 100 patients were first subjected
to various preprocessing steps, followed by morphological and threshold-based filtering and segmentation toobtain the fibrozis region associated with lung disease within the lungs. The success of segmenting images of
lung and fibrozis regions has been verified by the collaborating physicians, and the total number of pixels
reflecting the size of the fibrozis region has been calculated. The calculation of the lung and fibrozis area in IAF
disease with practical image processing steps is promising for further studies.