Kainz et al., 2015 - Google Patents

Fast volume reconstruction from motion corrupted stacks of 2D slices

Kainz et al., 2015

View PDF
Document ID
6244108307048929641
Author
Kainz B
Steinberger M
Wein W
Kuklisova-Murgasova M
Malamateniou C
Keraudren K
Torsney-Weir T
Rutherford M
Aljabar P
Hajnal J
Rueckert D
Publication year
Publication venue
IEEE transactions on medical imaging

External Links

Snippet

Capturing an enclosing volume of moving subjects and organs using fast individual image slice acquisition has shown promise in dealing with motion artefacts. Motion between slice acquisitions results in spatial inconsistencies that can be resolved by slice-to-volume …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • 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]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • 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
    • 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
    • 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
    • G06T2207/10—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
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering

Similar Documents

Publication Publication Date Title
Kainz et al. Fast volume reconstruction from motion corrupted stacks of 2D slices
Zhou et al. Handbook of medical image computing and computer assisted intervention
Xu et al. NeSVoR: implicit neural representation for slice-to-volume reconstruction in MRI
Gong et al. Iterative PET image reconstruction using convolutional neural network representation
Gholipour et al. Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI
US8472689B2 (en) Method for enhanced voxel resolution in MRI image
Tourbier et al. An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization
Alansary et al. PVR: patch-to-volume reconstruction for large area motion correction of fetal MRI
Van Reeth et al. Super‐resolution in magnetic resonance imaging: a review
Kuklisova-Murgasova et al. Reconstruction of fetal brain MRI with intensity matching and complete outlier removal
Schramm et al. Evaluation of parallel level sets and Bowsher’s method as segmentation-free anatomical priors for time-of-flight PET reconstruction
US9349197B2 (en) Left ventricle epicardium estimation in medical diagnostic imaging
Jurek et al. CNN-based superresolution reconstruction of 3D MR images using thick-slice scans
US10753998B2 (en) Resolution enhancement of diffusion imaging biomarkers in magnetic resonance imaging
Deprez et al. Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction
Kuklisova-Murgasova et al. Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint
US11514622B2 (en) System, apparatus, and method for incremental motion correction in magnetic resonance imaging
US20170003366A1 (en) System and method for generating magnetic resonance imaging (mri) images using structures of the images
CN108780134B (en) System, method and apparatus for susceptibility mapping of moving objects
Ebner et al. Point-spread-function-aware slice-to-volume registration: application to upper abdominal MRI super-resolution
Perez-Liva et al. Ultrafast ultrasound imaging for super-resolution preclinical cardiac PET
Prince et al. Image synthesis and superresolution in medical imaging
US11481934B2 (en) System, method, and computer-accessible medium for generating magnetic resonance imaging-based anatomically guided positron emission tomography reconstruction images with a convolutional neural network
Sui et al. Gradient-guided isotropic MRI reconstruction from anisotropic acquisitions
Ni et al. A sparse volume reconstruction method for fetal brain MRI using adaptive kernel regression