Abstract #4396

Textural Analysis based Segmentation of Bone tumours using Diffusion Weighted MR Image

Amit Mehndiratta^1,2, Esha Baidya Kayal³, Rishabh Gupta³, Abhimanyu Sahai³, Jayendra Tiru Alampally⁴, Sameer Bakhshi⁵, Raju Sharma⁴, and Devasenathipathy Kandasamy ⁴

¹Centre for Biomedical Engineering, Indian Institute of TechnologyDelhi, New Delhi, India, ²Department of Biomedical Engineering, All India Institute of Medicine, New Delhi, India, ³Centre for Biomedical Engineering, Indian Institute of TechnologyDelhi, ⁴Department of Radio Diagnosis, All India Institute of Medical Sciences, ⁵Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences

Diffusion weighted imaging (DWI) plays a crucial role in diagnosis and prognosis of cancerous diseases. Proper demarcation of tumour on DWI is therefore necessary for qualitative assessment as well as quantitative image analysis like ADC or IVIM. Manual demarcation of tumour on each DWI slice is time consuming, prone to error and hard to reproduce. Automated and semi-automated algorithms were implemented and tested to segment bone tumours specifically on DWI. Experimental results reveal that semi-automated Active-Contours performed tumor segmentation better than other methods with acceptable levels of accuracy with considerable less time and manual effort.

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