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Abstract #2905

Texture Analysis on Diffusion Weighted MRI in Osteosarcoma

Esha Baidya Kayal1, Devasenathipathy K2, Sameer Bakhshi3, Raju Sharma2, and Amit Mehndiratta1,4

1Center for Biomedical Engineering, Indian Institute of Technology, New Delhi, India, 2Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India, 3Medical Oncology, Dr. B.R.Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India, 4Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India

Texture analysis (TA) uses mathematical approach to characterize the spatial distribution of signal intensity variations in an image, and extracts quantitative information that are otherwise imperceptible qualitatively. Good soft tissue contrast of MRI facilitates TA to produce promising results in diagnosis and prognosis. Diffusion Weighted (DW) MRI based TA might provide additional useful information as DWI captures early cellular changes in tumors in terms of corresponding intensity variations. We computed textural features in patients with Osteosarcoma. Experimental results revealed that textural features show good discrimination among normal and tumour ROI thus might be useful as diagnostic and prognostic marker.

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