Single-step nonlinear diffusion tensor estimation in the presence of microscopic and macroscopic motion Export

@article{Aksoy2008, abstract = {Patient motion can cause serious artifacts in diffusion tensor imaging (DTI), diminishing the reliability of the estimated diffusion tensor information. Studies in this field have so far been limited mainly to the correction of miniscule physiological motion. In order to correct for gross patient motion it is not sufficient to correct for misregistration between successive shots; the change in the diffusion-encoding direction must also be accounted for. This becomes particularly important for multishot sequences, whereby - in the presence of motion - each shot is encoded with a different diffusion weighting. In this study a general mathematical framework to correct for gross patient motion present in a multishot and multicoil DTI scan is presented. A signal model is presented that includes the effect of rotational and translational motion in the patient frame of reference. This model was used to create a nonlinear least-squares formulation, from which the diffusion tensors were obtained using a nonlinear conjugate gradient algorithm. Applications to both phantom simulations and in vivo studies showed that in the case of gross motion the proposed algorithm performs superiorly compared to conventional methods used for tensor estimation. Magn Reson Med 59:1138-1150, 2008. {\copyright} 2008 Wiley-Liss, Inc.}, address = {Lucas Center, Department of Radiology, Stanford University, Stanford, California}, author = {Aksoy, Murat and Liu, Chunlei and Moseley, Michael E. and Bammer, Roland}, citeulike-article-id = {3199468}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/mrm.21558}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/118821829/ABSTRACT}, doi = {10.1002/mrm.21558}, journal = {Magnetic Resonance in Medicine}, keywords = {2008, dti, motion-correction, mrm, parallel-imaging, stanford}, number = {5}, pages = {1138--1150}, posted-at = {2008-09-06 11:24:58}, priority = {2}, title = {Single-step nonlinear diffusion tensor estimation in the presence of microscopic and macroscopic motion}, url = {http://dx.doi.org/10.1002/mrm.21558}, volume = {59}, year = {2008} }

TY - JOUR ID - Aksoy2008 L3 - citeulike-article-id:3199468 N2 - Patient motion can cause serious artifacts in diffusion tensor imaging (DTI), diminishing the reliability of the estimated diffusion tensor information. Studies in this field have so far been limited mainly to the correction of miniscule physiological motion. In order to correct for gross patient motion it is not sufficient to correct for misregistration between successive shots; the change in the diffusion-encoding direction must also be accounted for. This becomes particularly important for multishot sequences, whereby - in the presence of motion - each shot is encoded with a different diffusion weighting. In this study a general mathematical framework to correct for gross patient motion present in a multishot and multicoil DTI scan is presented. A signal model is presented that includes the effect of rotational and translational motion in the patient frame of reference. This model was used to create a nonlinear least-squares formulation, from which the diffusion tensors were obtained using a nonlinear conjugate gradient algorithm. Applications to both phantom simulations and in vivo studies showed that in the case of gross motion the proposed algorithm performs superiorly compared to conventional methods used for tensor estimation. Magn Reson Med 59:1138-1150, 2008. © 2008 Wiley-Liss, Inc. IS - 5 JF - Magnetic Resonance in Medicine AD - Lucas Center, Department of Radiology, Stanford University, Stanford, California EP - 1150 TI - Single-step nonlinear diffusion tensor estimation in the presence of microscopic and macroscopic motion VL - 59 SP - 1138 KW - 2008 KW - dti KW - motion-correction KW - mrm KW - parallel-imaging KW - stanford AU - Aksoy, Murat AU - Liu, Chunlei AU - Moseley, Michael AU - Bammer, Roland PY - 2008/// UR - http://dx.doi.org/10.1002/mrm.21558 ER -