Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume maps Export

@article{citeulike:5353045, abstract = {Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Many approaches have been previously proposed, which can be broadly categorised as mesh-based and voxel-based. While the mesh-based approaches can potentially achieve subvoxel resolution, they usually lack the computational efficiency needed for clinical applications and large database studies. In contrast, voxel-based approaches, are computationally efficient, but lack accuracy. The aim of this paper is to propose a novel voxel-based method based upon the Laplacian definition of thickness that is both accurate and computationally efficient. A framework was developed to estimate and integrate the partial volume information within the thickness estimation process. Firstly, in a Lagrangian step, the boundaries are initialized using the partial volume information. Subsequently, in an Eulerian step, a pair of partial differential equations are solved on the remaining voxels to finally compute the thickness. Using partial volume information significantly improved the accuracy of the thickness estimation on synthetic phantoms, and improved reproducibility on real data. Significant differences in the hippocampus and temporal lobe between healthy controls (NC), mild cognitive impaired (MCI) and Alzheimer's disease (AD) patients were found on clinical data from the ADNI database. We compared our method in terms precision, computational speed and statistical power against the Eulerian approach. With a slight increase in computation time, accuracy and precision were greatly improved. Power analysis demonstrated the ability of our method to yield statistically significant results when comparing AD and NC. Overall, with our method the number of samples is reduced by 25\% to find significant differences between the two groups.}, author = {Acosta, Oscar and Bourgeat, Pierrick and Zuluaga, Maria A. and Fripp, Jurgen and Salvado, Olivier and Ourselin, S\'{e}bastien}, citeulike-article-id = {5353045}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.media.2009.07.003}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S1361841509000498}, day = {10}, doi = {10.1016/j.media.2009.07.003}, issn = {13618415}, journal = {Medical Image Analysis}, keywords = {cortical, map, measurement, partial, thickness, volume}, month = {October}, number = {5}, pages = {730--743}, posted-at = {2009-09-02 09:47:00}, priority = {2}, title = {Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume maps}, url = {http://dx.doi.org/10.1016/j.media.2009.07.003}, volume = {13}, year = {2009} }

TY - JOUR ID - citeulike:5353045 L3 - citeulike-article-id:5353045 N2 - Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Many approaches have been previously proposed, which can be broadly categorised as mesh-based and voxel-based. While the mesh-based approaches can potentially achieve subvoxel resolution, they usually lack the computational efficiency needed for clinical applications and large database studies. In contrast, voxel-based approaches, are computationally efficient, but lack accuracy. The aim of this paper is to propose a novel voxel-based method based upon the Laplacian definition of thickness that is both accurate and computationally efficient. A framework was developed to estimate and integrate the partial volume information within the thickness estimation process. Firstly, in a Lagrangian step, the boundaries are initialized using the partial volume information. Subsequently, in an Eulerian step, a pair of partial differential equations are solved on the remaining voxels to finally compute the thickness. Using partial volume information significantly improved the accuracy of the thickness estimation on synthetic phantoms, and improved reproducibility on real data. Significant differences in the hippocampus and temporal lobe between healthy controls (NC), mild cognitive impaired (MCI) and Alzheimer’s disease (AD) patients were found on clinical data from the ADNI database. We compared our method in terms precision, computational speed and statistical power against the Eulerian approach. With a slight increase in computation time, accuracy and precision were greatly improved. Power analysis demonstrated the ability of our method to yield statistically significant results when comparing AD and NC. Overall, with our method the number of samples is reduced by 25% to find significant differences between the two groups. IS - 5 JF - Medical Image Analysis SN - 13618415 EP - 743 TI - Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume maps VL - 13 SP - 730 KW - cortical KW - map KW - measurement KW - partial KW - thickness KW - volume AU - Acosta, Oscar AU - Bourgeat, Pierrick AU - Zuluaga, Maria AU - Fripp, Jurgen AU - Salvado, Olivier AU - Ourselin, Sébastien PY - 2009/10/10/ UR - http://dx.doi.org/10.1016/j.media.2009.07.003 ER -