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.