[go: up one dir, main page]

Zeng et al., 2023 - Google Patents

Automated identification of the retinogeniculate visual pathway using a high-dimensional tractography atlas

Zeng et al., 2023

Document ID
1430436042166803856
Author
Zeng Q
Huang J
He J
Chen S
Xie L
Chen Z
Guo W
Yao S
Li M
Li M
Feng Y
Publication year
Publication venue
IEEE Transactions on Cognitive and Developmental Systems

External Links

Snippet

The retinogeniculate visual pathway (RGVP) plays an important role in the visual system. Diffusion MRI-based tractography has been successfully used to identify RGVP. However, challenges of RGVP tractography remain because of its highly curved path and intricate …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/563Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
    • G01R33/56341Diffusion imaging
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20128Atlas-based segmentation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/4806Functional imaging of brain activation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
    • G06T3/0081Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping by elastic snapping

Similar Documents

Publication Publication Date Title
Cousineau et al. A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles
Miller et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Battistella et al. Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties
Toga et al. Maps of the brain
Hong et al. Automated detection of cortical dysplasia type II in MRI-negative epilepsy
Mollink et al. Dentatorubrothalamic tract localization with postmortem MR diffusion tractography compared to histological 3D reconstruction
Müller et al. Diffusion tensor magnetic resonance imaging in the analysis of neurodegenerative diseases
Dunås et al. A stereotactic probabilistic atlas for the major cerebral arteries
Nowinski et al. Three-dimensional interactive and stereotactic human brain atlas of white matter tracts
WO2018098213A1 (en) Medical image analysis using mechanical deformation information
Jitsuishi et al. Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data
Liu et al. Multimodal neuroimaging computing: the workflows, methods, and platforms
Dougherty et al. Occipital‐Callosal Pathways in Children: Validation and Atlas Development
Li et al. Automatic brain structures segmentation using deep residual dilated U-Net
Schilling et al. The VALiDATe29 MRI based multi-channel atlas of the squirrel monkey brain
Landman et al. System for integrated neuroimaging analysis and processing of structure
Zeng et al. Automated identification of the retinogeniculate visual pathway using a high-dimensional tractography atlas
Calvini et al. Automatic analysis of medial temporal lobe atrophy from structural MRIs for the early assessment of Alzheimer disease
Huang et al. Automatic oculomotor nerve identification based on data‐driven fiber clustering
Lewis et al. A sub+ cortical fMRI‐based surface parcellation
Zhang et al. DDParcel: deep learning anatomical brain parcellation from diffusion MRI
Xie et al. Deep multimodal fusion network for the retinogeniculate visual pathway segmentation
Zhu et al. Chinese adult brain atlas with functional and white matter parcellation
Ge et al. Resting state fMRI-guided fiber clustering: methods and applications
Studholme Dense feature deformation morphometry: Incorporating DTI data into conventional MRI morphometry