A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization

• Published in: IEEE transactions on medical imaging Vol. 33; no. 11; pp. 2118 - 2127
• Main Authors: Gruslys, Audrunas, Acosta-Cabronero, Julio, Nestor, Peter J., Williams, Guy B., Ansorge, Richard E.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Alzheimer Disease - pathology; Biomedical imaging; Brain - anatomy & histology; Brain - pathology; Central processing units; Deformable registration; demons algorithms; Diagnostic Imaging - methods; Filtering algorithms; Graphics processing units; graphics processors; Humans; Image processing; Image processing systems; Image Processing, Computer-Assisted - methods; Image registration; Jacobian matrices; Medical; medical image analysis; multi-core processing; Neurosciences; Preserving; Registration; Regularization; Smoothing methods; Surface treatment

Recently inexpensive graphical processing units (GPUs) have become established as a viable alternative to traditional CPUs for many medical image processing applications. GPUs offer the potential of very significant improvements in performance at low cost and with low power consumption. One way in w...