Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method. Yao, C., Liu, Y., Yao, J., Zhuang, D., Wu, J., Qin, Z., Mao, Y., & Zhou, L. Computer methods and programs in biomedicine, 117(2):114--24, November, 2014. ![Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{ yao_augment_2014,
title = {Augment low-field intra-operative {MRI} with preoperative {MRI} using a hybrid non-rigid registration method.},
volume = {117},
url = {http://www.ncbi.nlm.nih.gov/pubmed/25178268},
doi = {10.1016/j.cmpb.2014.07.013},
abstract = {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.},
number = {2},
journal = {Computer methods and programs in biomedicine},
author = {Yao, Chengjun and Liu, Yixun and Yao, Jianhua and Zhuang, Dongxiao and Wu, Jinsong and Qin, Zhiyong and Mao, Ying and Zhou, Liangfu},
month = {November},
year = {2014},
keywords = {Adult, Aged, Brain Mapping, Brain Mapping: methods, Brain Neoplasms, Brain Neoplasms: pathology, Brain Neoplasms: surgery, Computer-Assisted, Computer-Assisted: methods, Female, Humans, Image Interpretation, Magnetic Resonance Imaging, Magnetic Resonance Imaging: methods, Male, Middle Aged, Multimodal Imaging, Multimodal Imaging: methods, Preoperative Care, Preoperative Care: methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Surgery, Young Adult},
pages = {114--24}
}
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{"_id":"SXMJYGJ2ys5tEJ2xA","bibbaseid":"yao-liu-yao-zhuang-wu-qin-mao-zhou-augmentlowfieldintraoperativemriwithpreoperativemriusingahybridnonrigidregistrationmethod-2014","downloads":0,"creationDate":"2015-08-12T12:24:01.195Z","title":"Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method.","author_short":["Yao, C.","Liu, Y.","Yao, J.","Zhuang, D.","Wu, J.","Qin, Z.","Mao, Y.","Zhou, L."],"year":2014,"bibtype":"article","biburl":"https://api.zotero.org/users/2578022/collections/NK7ID3DC/items?key=xfylOfgraRGkua7fIOIyUDtL&format=bibtex&limit=100","bibdata":{"abstract":"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.","author":["Yao, Chengjun","Liu, Yixun","Yao, Jianhua","Zhuang, Dongxiao","Wu, Jinsong","Qin, Zhiyong","Mao, Ying","Zhou, Liangfu"],"author_short":["Yao, C.","Liu, Y.","Yao, J.","Zhuang, D.","Wu, J.","Qin, Z.","Mao, Y.","Zhou, L."],"bibtex":"@article{ yao_augment_2014,\n title = {Augment low-field intra-operative {MRI} with preoperative {MRI} using a hybrid non-rigid registration method.},\n volume = {117},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/25178268},\n doi = {10.1016/j.cmpb.2014.07.013},\n abstract = {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.},\n number = {2},\n journal = {Computer methods and programs in biomedicine},\n author = {Yao, Chengjun and Liu, Yixun and Yao, Jianhua and Zhuang, Dongxiao and Wu, Jinsong and Qin, Zhiyong and Mao, Ying and Zhou, Liangfu},\n month = {November},\n year = {2014},\n keywords = {Adult, Aged, Brain Mapping, Brain Mapping: methods, Brain Neoplasms, Brain Neoplasms: pathology, Brain Neoplasms: surgery, Computer-Assisted, Computer-Assisted: methods, Female, Humans, Image Interpretation, Magnetic Resonance Imaging, Magnetic Resonance Imaging: methods, Male, Middle Aged, Multimodal Imaging, Multimodal Imaging: methods, Preoperative Care, Preoperative Care: methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Surgery, Young Adult},\n pages = {114--24}\n}","bibtype":"article","doi":"10.1016/j.cmpb.2014.07.013","id":"yao_augment_2014","journal":"Computer methods and programs in biomedicine","key":"yao_augment_2014","keywords":"Adult, Aged, Brain Mapping, Brain Mapping: methods, Brain Neoplasms, Brain Neoplasms: pathology, Brain Neoplasms: surgery, Computer-Assisted, Computer-Assisted: methods, Female, Humans, Image Interpretation, Magnetic Resonance Imaging, Magnetic Resonance Imaging: methods, Male, Middle Aged, Multimodal Imaging, Multimodal Imaging: methods, Preoperative Care, Preoperative Care: methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Surgery, Young Adult","month":"November","number":"2","pages":"114--24","title":"Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method.","type":"article","url":"http://www.ncbi.nlm.nih.gov/pubmed/25178268","volume":"117","year":"2014","bibbaseid":"yao-liu-yao-zhuang-wu-qin-mao-zhou-augmentlowfieldintraoperativemriwithpreoperativemriusingahybridnonrigidregistrationmethod-2014","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/25178268"},"keyword":["Adult","Aged","Brain Mapping","Brain Mapping: methods","Brain Neoplasms","Brain Neoplasms: pathology","Brain Neoplasms: surgery","Computer-Assisted","Computer-Assisted: methods","Female","Humans","Image Interpretation","Magnetic Resonance Imaging","Magnetic Resonance Imaging: methods","Male","Middle Aged","Multimodal Imaging","Multimodal Imaging: methods","Preoperative Care","Preoperative Care: methods","Reproducibility of Results","Sensitivity and Specificity","Subtraction Technique","Surgery","Young Adult"],"downloads":0},"search_terms":["augment","low","field","intra","operative","mri","preoperative","mri","using","hybrid","non","rigid","registration","method","yao","liu","yao","zhuang","wu","qin","mao","zhou"],"keywords":["adult","aged","brain mapping","brain mapping: methods","brain neoplasms","brain neoplasms: pathology","brain neoplasms: surgery","computer-assisted","computer-assisted: methods","female","humans","image interpretation","magnetic resonance imaging","magnetic resonance imaging: methods","male","middle aged","multimodal imaging","multimodal imaging: methods","preoperative care","preoperative care: methods","reproducibility of results","sensitivity and specificity","subtraction technique","surgery","young adult"],"authorIDs":[],"dataSources":["29267TEEN8oGNBtT4"]}