Validation of a semi-automatic coregistration of MRI scans in brain tumor patients during treatment follow-up
van, der Hoorn Anouk
Larkin, Timothy J
Boonzaier, Natalie R
NMR in Biomedicine
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van, d. H. A., Yan, J., Larkin, T. J., Boonzaier, N. R., Matys, T. M., & Price, S. (2016). Validation of a semi-automatic coregistration of MRI scans in brain tumor patients during treatment follow-up. NMR in Biomedicine https://www.repository.cam.ac.uk/handle/1810/254757
There is an expanding research interest in high grade gliomas due to their significant population burden and poor survival despite the extensive standard multimodal treatment. One of the obstacles is the lack of individualized monitoring of tumor characteristics and treatment response before, during and after treatment. We developed a two stage semi-automatic method to coregister MRI scans at different time points before and after surgical and adjuvant treatment of high grade gliomas. This two stage coregistration includes a linear coregistration of the semi-automatically derived mask of the preoperative contrast enhancing area or postoperative resection cavity, brain contour, and ventricles between different time points. The resulting transformation matrix was then applied to a nonlinear manner to coregister conventional contrast-enhanced T1-weighted images. Targeted registration errors were calculated and compared to linear and nonlinear coregistered images. Targeted registration errors were smaller for the semi-automatic non-linear coregistration compared with both the nonlinear and linear coregistered images. This was further visualized utilizing a 3D structural similarity method. The semi-automatic non-linear coregistration allowed for optimal correction of variable brain shift at different time points as evaluated by minimal targeted registration error. This proposed method allows for accurate evaluation of treatment response, essential for the growing research area of brain tumor imaging and treatment response evaluation in large sets of patients.
linear coregistration, nonlinear coregistration, brain tumors, high grade gliomas, MRI, treatment response, validation, structure similarity
This research was funded by a National Institute of Health Clinician Scientist Fellowship [SJP], a Remmert Adriaan Laan Fund [AH], a René Vogels Fund [AH] and a grant from the Chang Gung Medical Foundation and Chang Gung Memorial Hospital, Keelung [JLY]. None of the authors have financial of other conflict of interest related to the work presented in this paper. This paper presents independent research funded by the UK National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the UK NHS, the UK NIHR or the UK Department of Health.
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