Search Results for "segmentation"

CorThiZon is a Matlab toolbox. MRI 3D T1 images are treated to estimate cortical thickness by zones in native and normalized space. It uses a Laplace-based technique following brain segmentation. Results can be easily reported in Excel files for further statistical analysis. If you use this toolbox, please reference: ‘Early diagnostic of Alzheimer’s disease using cortical thickness: impact of cognitive reserve', Querbes O, Aubry F, Pariente J, Lotterie JA, Démonet JF, Duret V, Puel M, Berry I, Fort JC, Celsis P, Alzheimer’s Disease Neuroimaging Initiative, Brain, 2009 Aug, 132(Pt 8):2036-47 A footnote giving the link to: http://sourceforge.net/projects/corthizon/ will be appreciated.

DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse...

The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or...