Int J Comput Assist Radiol Surg - Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations.

Tópicos

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Resumo

RPOSE: We present a novel approach for the registration of pre-operative magnetic resonance images to intra-operative ultrasound images for the context of image-guided neurosurgery.METHOD: Our technique relies on the maximization of gradient orientation alignment in a reduced set of high confidence locations of interest and allows for fast, accurate, and robust registration. Performance is compared with multiple state-of-the-art techniques including conventional intensity-based multi-modal registration strategies, as well as other context-specific approaches. All methods were evaluated on fourteen clinical neurosurgical cases with brain tumors, including low-grade and high-grade gliomas, from the publicly available MNI BITE dataset. Registration accuracy of each method is evaluated as the mean distance between homologous landmarks identified by two or three experts. We provide an analysis of the landmarks used and expose some of the limitations in validation brought forward by expert disagreement and uncertainty in identifying corresponding points.RESULTS: The proposed approach yields a mean error of 2.57 mm across all cases (the smallest among all evaluated techniques). Additionally, it is the only evaluated technique that resolves all cases with a mean distance of less than 1 mm larger than the theoretical minimal mean distance when using a rigid transformation.CONCLUSION: Finally, our proposed method provides reduced processing times with an average registration time of 0.76 s in a GPU-based implementation, thereby facilitating its integration into the operating room.

Resumo Limpo

rpose present novel approach registr preoper magnet reson imag intraop ultrasound imag context imageguid neurosurgerymethod techniqu reli maxim gradient orient align reduc set high confid locat interest allow fast accur robust registr perform compar multipl stateoftheart techniqu includ convent intensitybas multimod registr strategi well contextspecif approach method evalu fourteen clinic neurosurg case brain tumor includ lowgrad highgrad glioma public avail mni bite dataset registr accuraci method evalu mean distanc homolog landmark identifi two three expert provid analysi landmark use expos limit valid brought forward expert disagr uncertainti identifi correspond pointsresult propos approach yield mean error mm across case smallest among evalu techniqu addit evalu techniqu resolv case mean distanc less mm larger theoret minim mean distanc use rigid transformationconclus final propos method provid reduc process time averag registr time s gpubas implement therebi facilit integr oper room

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