Fractal Analysis of Chest Radiographs Using Image-J-FIJI Software- A Pilot Study

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dc.contributor.authorShettannavar, Pooja Ien_US
dc.contributor.authorKopoori, Dishithaen_US
dc.contributor.authorChail, Viveken_US
dc.contributor.authorKulkarni, Vasudhaen_US
dc.date.accessioned2025-05-09T07:25:08Z
dc.date.available2025-05-09T07:25:08Z
dc.date.issued2024-12
dc.description.abstractBackground: Lung vasculature has nutritive and functional roles. Unlike the bronchial tree which branches dichotomously into twenty-one generations, the pulmonary arteries give supernumerary branches to perfuse the neighboring parenchyma. The pulmonary arteries additionally branch for five more generations than airways before forming capillaries. Further pulmonary veins are interlobular in position. Hence the characterization quantifying the pulmonary vascular networks is challenging. Objective: In this study, we assessed the pulmonary vasculature in chest radiographs using the fractal analysis method on Image-J-Fiji software. Design: Cross-sectional study Settings: Patients referred to the Department of Radiodiagnosis, Akash Institute of Medical Sciences and Research Centre and Dr. B. R. Ambedkar Medical College, Bangalore, Karnataka, India. Participants: One hundred and thirty-two chest radiographs of normal healthy individuals (aged 2 months to 80 years) were photographed. Each of these images was processed in the Image-J-Fiji software. A box-counting algorithm quantified the images. Data results of the fractal dimensions were validated at the probability of significance [0.05]. Results: The mean fractal dimension of the pulmonary vasculature was 1.39. For males and females, the Pearson’s correlation coefficient between the fractal dimension and age in years was 0.102 and 0.16, respectively. In males, a chi-square value of 0.58, in females, a chi-square value of 1.03, degree of freedom 2 and critical value of p-value 0.05, showed the relation was statistically not significant. Comparison between fractal dimension and Gender using Cramer’s V test in males, 0.066, and in females, 0.088, indicates a weak association between fractal dimension and gender. Conclusion: The applicability of the fractal dimensions is to screen the high risks of severe chronic obstructive pulmonary diseases. The determination of fractal values helps evaluate the complexity of lung tumors. The baseline data concerning fractal properties of pulmonary vasculature obtained from this study helps to evaluate lung diseases like emphysema and vascular abnormalities during the progression of chronic obstructive pulmonary di sea se.en_US
dc.identifier.affiliationsPostgraduate, Department of Radiodiagnosis, Dr. B. R. Ambedkar Medical College and Hospital, Kadugondanahalli, Bengaluru, Karnataka, Indiaen_US
dc.identifier.affiliationsMedical Student, Akash Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, Indiaen_US
dc.identifier.affiliationsProfessor, Department of Radiodiagnosis, Dr. B.R. Ambedkar Medical College and Hospital Kadugondanahalli, Bengaluru, Karnataka, Indiaen_US
dc.identifier.affiliationsProfessor and HOD, Department of Anatomy, Akash Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, Indiaen_US
dc.identifier.citationShettannavar Pooja I, Kopoori Dishitha, Chail Vivek, Kulkarni Vasudha . Fractal Analysis of Chest Radiographs Using Image-J-FIJI Software- A Pilot Study . International Journal of Anatomy and Research. 2024 Dec; 12(4): 9085-9092en_US
dc.identifier.issn2321-4287
dc.identifier.issn2321-8967
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/243199
dc.languageenen_US
dc.publisherIMED Research Publicationsen_US
dc.relation.issuenumber4en_US
dc.relation.volume12en_US
dc.source.urihttps://dx.doi.org/10.16965/ijar.2024.237en_US
dc.subjectChest Radiographen_US
dc.subjectImage Analysisen_US
dc.subjectFractal dimensionen_US
dc.subjectPulmonary vasculatureen_US
dc.titleFractal Analysis of Chest Radiographs Using Image-J-FIJI Software- A Pilot Studyen_US
dc.typeJournal Articleen_US
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