Malikovic et al., 2016 - Google Patents
Cytoarchitecture of the human lateral occipital cortex: mapping of two extrastriate areas hOc4la and hOc4lpMalikovic et al., 2016
- Document ID
- 4637558917329077275
- Author
- Malikovic A
- Amunts K
- Schleicher A
- Mohlberg H
- Kujovic M
- Palomero-Gallagher N
- Eickhoff S
- Zilles K
- Publication year
- Publication venue
- Brain Structure and Function
External Links
Snippet
The microstructural correlates of the functional segregation of the human lateral occipital cortex are largely unknown. Therefore, we analyzed the cytoarchitecture of this region in ten human post-mortem brains using an observer-independent and statistically testable …
- 241000282414 Homo sapiens 0 title abstract description 21
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Malikovic et al. | Cytoarchitecture of the human lateral occipital cortex: mapping of two extrastriate areas hOc4la and hOc4lp | |
| Schilling et al. | Limits to anatomical accuracy of diffusion tractography using modern approaches | |
| Lorenz et al. | Two new cytoarchitectonic areas on the human mid-fusiform gyrus | |
| Tyszka et al. | In vivo delineation of subdivisions of the human amygdaloid complex in a high‐resolution group template | |
| Chao et al. | Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography | |
| Rosenke et al. | A cross-validated cytoarchitectonic atlas of the human ventral visual stream | |
| Geyer et al. | Areas 3a, 3b, and 1 of human primary somatosensory cortex: 2. Spatial normalization to standard anatomical space | |
| Garyfallidis et al. | Robust and efficient linear registration of white-matter fascicles in the space of streamlines | |
| O'Donnell et al. | Fiber clustering versus the parcellation-based connectome | |
| Chen et al. | A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching | |
| Han et al. | Functional parcellation of the cerebral cortex across the human adult lifespan | |
| Eickhoff et al. | Anatomical and functional connectivity of cytoarchitectonic areas within the human parietal operculum | |
| Johansen-Berg et al. | Functional–anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus | |
| Gao et al. | Validation of DTI tractography-based measures of primary motor area connectivity in the squirrel monkey brain | |
| Richter et al. | Cytoarchitectonic segregation of human posterior intraparietal and adjacent parieto-occipital sulcus and its relation to visuomotor and cognitive functions | |
| Schilling et al. | Anatomical accuracy of standard-practice tractography algorithms in the motor system-a histological validation in the squirrel monkey brain | |
| Savadjiev et al. | Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI | |
| van Eede et al. | Mapping registration sensitivity in MR mouse brain images | |
| US20080240527A1 (en) | Methods, Compositions and Systems for Analyzing Imaging Data | |
| Ray et al. | Co-activation based parcellation of the human frontal pole | |
| Shen et al. | Investigating brain connectivity heritability in a twin study using diffusion imaging data | |
| O'Muircheartaigh et al. | Clustering probabilistic tractograms using independent component analysis applied to the thalamus | |
| Reid et al. | A seed-based cross-modal comparison of brain connectivity measures | |
| Garzón et al. | Automated segmentation of midbrain structures with high iron content | |
| Gao et al. | Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging |