Abstract #2125

Automatic Segmentation of Vasculature in DCE-MRI of Brain Tumors and its Influence in Grading

Anshika Kesari¹, Virendra Kumar Yadav¹, Raufiya Jafari¹, Rakesh Kumar Gupta², Rana Patir³, Sandeep Vaishya³, Sunita Ahlawat⁴, and Anup Singh^1,5,6

¹Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, ²Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, ³Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India, ⁴SRL Diagnostics, Fortis Memorial Research Institute, Gurugram, India, ⁵Yardi School for Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India, ⁶Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India

Synopsis

Keywords: Tumors, Brain Quantitative DCE-MRI parameters are sensitive to tumor microvasculature and have shown potential in tumor grading. Generally, value of some of these parameters increases with tumor grades. During analysis of tumor region, large-blood-vessels (LBV) can influence the actual changes due to tumor microvasculature and hence provide erroneous results. Objectives of this study were to develop an automatic framework for segmentation of the LBV present within and outside of the tumor region and to reduce errors in tumor grading. The statistical analysis of parameters in tumor region showed significant differences between with and without LBV. Moreover, LBV removal improved tumor classification accuracy.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.