Comput Methods Programs Biomed - Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method.

Tópicos

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Resumo

CKGROUND: Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.METHOD: To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.RESULTS: The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92?0.54 mm, and the compensation accuracy is 74.3?5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value=.003) although these landmarks had larger initial displacements.CONCLUSIONS: The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.

Resumo Limpo

ckground preoper acquir diffus tensor imag dti blood oxygen level depend bold prove effect provid anatom function inform howev brain deform induc brain shift tumor resect sever impair correspond imag space patient space imageguid neurosurgerymethod address brain deform develop hybrid nonrigid registr method regist highfield preoper mri lowfield intraop mri order recov deform induc brain shift tumor resect regist dti bold fuse lowfield intraop mri imageguid neurosurgeryresult propos hybrid registr method evalu compar landmark predict hybrid registr method landmark identifi lowfield intraop mri patient predict error hybrid method mm compens accuraci compar landmark far resect region near resect region demonstr higher compens accuraci pvalu although landmark larger initi displacementsconclus propos hybrid registr method abl bring preoper acquir bold dti oper room compens deform augment lowfield intraop mri rich anatom function inform

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