Abstract #1356

Validation of a semi-automatic coregistration of MRI scans in brain tumor patients during treatment follow-up

Jiun-Lin Yan^1,2,3, Anouk van der Hoorn^4,5, Timothy J Larkin⁶, Natalie R Boonzaier⁶, Tomasz Matys⁵, and Stephen J Price⁶

¹Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom, ²Neurosurgery, Chang Gung Memorial Hospital, Keelung, Taiwan, ³Department of neurosurgery, Chang Gung University College of Medicine, Taoyuan, Taiwan, ⁴Department of radiology (EB44), University Medical Centre Groningen, Groningen, Netherlands, ⁵Department of radiology, University of Cambridge, Cambridge, United Kingdom, ⁶Brain tumour imaging laboratory, University of Cambridge, Cambridge, United Kingdom

Coregistration of lesional brain MRI between different time points is challenging. We aimed to propose a two staged semi-automatic coregistration methods to overcome the difficulty. Firstly, we calculated the transformation between presurgical tumor and postsurgical resection cavity by using the linear FLIRT co-registration. This creates a transformation matrix used for the progression and pseudoprogression area with optimal correction of variable brain shift. Then we applied this transformation matrix to a non-linear FNIRT transformation to coregister the brain. Validation by using registration target error showed smaller deviation can be achieved by using this method compared to direct non-linear registration.

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