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Abstract #1356

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

Jiun-Lin Yan1,2,3, Anouk van der Hoorn4,5, 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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