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Medical Imaging 2016
October 20-21, 2016
Volume 5, Issue 5(Suppl) OMICS J Radiol
ISSN: 2167-7964 ROA, an open access journal
conferenceseries .com
October 20-21, 2016 Chicago, USA
International Conference on
Medical Imaging & Diagnosis
Monika Beresova et al., OMICS J Radiol 2016, 6:5(Suppl)
Differentiation between osteoblastic, osteolytic and healthy bone tissue in CT images by texture
analysis
Monika Beresova1, Andres Larroza2, Estanislao Arana3, Ervin Berenyi1, Laszlo Balkay1, Silvia Ruiz-Espana 4 and David Moratal4
1University of Debrecen, Hungary
2Universitat de Valencia, Spain
3Instituto Valenciano de Oncología, Spain
4Universitat Politecnica de Valencia, Spain
Objectives: The aim of this study was to perform texture analysis of the bone metastasis, to find and describe the difference of
heterogeneity parameters, in osteolytic osteoblastic, mixed (osteolytic and osteoblastic) and healthy bone lesions.
Methods: In this study, 5 patients with vertebral metastatic lesions were examined using CT images. Pathological lesions were
manually segmented and binary masks were created for the all osteoblastic, osteolytic, mixed and healthy spine areas for each
patient. Histogram (min, max, mean, SD, variance and SD/mean) and co-occurrence matrix (contrast, correlation, energy,
entropy and homogeneity) features were extracted. For statistical comparisons, the segmented lesions were split into four
groups according to their sizes: (1) 0-0.25cm3, (2) 0.25-0.5cm3, (3) 0.5-1 cm3 and (4) >1 cm3. ROC analysis and Kolmogorov-
Smirnov test were done and we used non-parametric Kruskal-Wallis tests with Bonferroni correction to compare the different
bone lesions.
Results: Based on reliability and ROC analysis, smallest ROIs (group 1) were discarded, and osteolytic lesions were also
excluded from this study, because the sizes were falling into 0-0.25 cm3 range. The maximum, mean, SD, variance, SD/mean
and contrast were significantly different between mixed and healthy lesions at ROI size larger than 0.25 cm3. At the same size
range, the maximum, mean, SD, variance, contrast and correlation were significantly different between healthy and osteoblastic
lesions. At last, comparing the mixed and the osteoblastic lesions, the maximum, mean, SD, variance and contrast parameters
were found significantly different.
Conclusions: The heterogeneity parameters allowed us to describe the differences between pathological bone lesions. Texture
analysis was not reliable in small lesions, but we could differentiate the healthy, the mixed and the osteoblastic areas utilizing
the following textural parameters: maximum, mean, SD, variance and contrast.
Biography
Monika Beresova is a PhD student at University of Debrecen. She is working on Texture Analysis in Medical Images. She works in the Department of Biomedical
Laboratory and Imaging Science Faculty of Medicine (University of Debrecen) as Biomedical Engineer. She is a Lecturer for basics of MRI, Anatomy and she also
works in the following research areas: NMR measurement on Earth magnetic field, image post-processing and in fMRI study.