Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

作者：Yao, Chengjun; Liu, Yixun; Yao, Jianhua; Zhuang, Dongxiao; Wu, Jinsong; Qin, Zhiyong; Mao, Ying; Zhou, Liangfu^*

来源：Computer Methods and Programs in Biomedicine, 2014, 117(2): 114-124.

DOI：10.1016/j.cmpb.2014.07.013

• Low-field intra-operative MRI
• Non-rigid registration
• Free-form deformation
• fMRI
• Brain deformation

Background: 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.

• 出版日期2014-11
• 单位复旦大学