Nothing Special   »   [go: up one dir, main page]

Puttashamachar et al., 2018 - Google Patents

End to End Brain Fiber Orientation Estimation Using Deep Learning

Puttashamachar et al., 2018

View PDF
Document ID
2915479478399715993
Author
Puttashamachar N
Bagci U
Publication year
Publication venue
arXiv preprint arXiv:1806.03969

External Links

Snippet

In this work, we explore the various Brain Neuron tracking techniques, which is one of the most significant applications of Diffusion Tensor Imaging. Tractography provides us with a non-invasive method to analyze underlying tissue micro-structure. Understanding the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • 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
    • G01R33/4806Functional imaging of brain activation
    • 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
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging
    • 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A61B5/004Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0062Arrangements for scanning

Similar Documents

Publication Publication Date Title
Malcolm et al. Filtered multitensor tractography
Descoteaux et al. Deterministic and probabilistic tractography based on complex fibre orientation distributions
US9645212B2 (en) Fiber tractography using entropy spectrum pathways
WO2023280086A1 (en) Target determination method and apparatus, electronic device, storage medium, and neuromodulation device
EP2147330B1 (en) Image processing method
Patel et al. Mesh-based spherical deconvolution: a flexible approach to reconstruction of non-negative fiber orientation distributions
Malcolm et al. Neural tractography using an unscented Kalman filter
Malcolm et al. A filtered approach to neural tractography using the Watson directional function
Karimi et al. A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging
Aja-Fernández et al. Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies
Leng et al. Multimodal cross enhanced fusion network for diagnosis of Alzheimer’s disease and subjective memory complaints
US10789713B2 (en) Symplectomorphic image registration
Kaden et al. Variational inference of the fiber orientation density using diffusion MR imaging
Puttashamachar et al. End to End Brain Fiber Orientation Estimation Using Deep Learning
Kaden et al. A reproducing kernel Hilbert space approach for q-ball imaging
Chen et al. Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging
CN114140377B (en) Method and device for determining brain function map of brain tumor patient
Golding A comparison of methods for the registration of tractographic fibre images
Cabalo et al. Multimodal Precision Neuroimaging of the Individual Human Brain at Ultra-high fields
Durantel Anatomically and microstructure-informed tractography for connectivity assessment in neurological pathologies
Gupta et al. BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Ardalan An End-to-End Convolutional Neural Network Architecture for Neuroimaging Data Analysis
Thakur et al. Brain Tumor Segmentation Techniques: A Review
Shehab et al. Background of Diffusion MRI
Kerkelä Quantifying Brain Microstructure with Diffusion MRI: An Assessment of Microscopic Anisotropy Imaging