Paper
14 February 2012 Robust registration of sparsely sectioned histology to ex-vivo MRI of temporal lobe resections
Maged Goubran, Ali R. Khan, Cathie Crukley, Susan Buchanan, Brendan Santyr, Sandrine deRibaupierre, Terry M. Peters
Author Affiliations +
Abstract
Surgical resection of epileptic foci is a typical treatment for drug-resistant epilepsy, however, accurate preoperative localization is challenging and often requires invasive sub-dural or intra-cranial electrode placement. The presence of cellular abnormalities in the resected tissue can be used to validate the effectiveness of multispectralMagnetic Resonance Imaging (MRI) in pre-operative foci localization and surgical planning. If successful, these techniques can lead to improved surgical outcomes and less invasive procedures. Towards this goal, a novel pipeline is presented here for post-operative imaging of temporal lobe specimens involving MRI and digital histology, and present and evaluate methods for bringing these images into spatial correspondence. The sparsely-sectioned histology images of resected tissue represents a challenge for 3D reconstruction which we address with a combined 3D and 2D rigid registration algorithm that alternates between slice-based and volume-based registration with the ex-vivo MRI. We also evaluate four methods for non-rigid within-plane registration using both images and fiducials, with the top performing method resulting in a target registration error of 0.87 mm. This work allows for the spatially-local comparison of histology with post-operative MRI and paves the way for eventual registration with pre-operative MRI images.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maged Goubran, Ali R. Khan, Cathie Crukley, Susan Buchanan, Brendan Santyr, Sandrine deRibaupierre, and Terry M. Peters "Robust registration of sparsely sectioned histology to ex-vivo MRI of temporal lobe resections", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141V (14 February 2012); https://doi.org/10.1117/12.911058
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KEYWORDS
Magnetic resonance imaging

Image registration

Tissues

Image processing

Detection and tracking algorithms

Epilepsy

3D image processing

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