[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Berger et al., 2017 - Google Patents

Motion compensation for cone-beam CT using Fourier consistency conditions

Berger et al., 2017

View HTML
Document ID
10783460552708701340
Author
Berger M
Xia Y
Aichinger W
Mentl K
Unberath M
Aichert A
Riess C
Hornegger J
Fahrig R
Maier A
Publication year
Publication venue
Physics in Medicine & Biology

External Links

Snippet

In cone-beam CT, involuntary patient motion and inaccurate or irreproducible scanner motion substantially degrades image quality. To avoid artifacts this motion needs to be estimated and compensated during image reconstruction. In previous work we showed that …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • G06T11/005Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • 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
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • G06T11/006Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • 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
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation
    • G06T2211/40Computed tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
Berger et al. Motion compensation for cone-beam CT using Fourier consistency conditions
Niu et al. Sparse-view x-ray CT reconstruction via total generalized variation regularization
Kim et al. Non-local total-variation (NLTV) minimization combined with reweighted L1-norm for compressed sensing CT reconstruction
Bian et al. Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
Yu et al. Simulation tools for two-dimensional experiments in x-ray computed tomography using the FORBILD head phantom
Choi et al. Fiducial marker‐based correction for involuntary motion in weight‐bearing C‐arm CT scanning of knees. Part I. Numerical model‐based optimization
Stute et al. Practical considerations for image-based PSF and blobs reconstruction in PET
Sattarivand et al. Symmetric geometric transfer matrix partial volume correction for PET imaging: principle, validation and robustness
Tsoumpas et al. The effect of regularization in motion compensated PET image reconstruction: a realistic numerical 4D simulation study
Huang et al. Restoration of missing data in limited angle tomography based on Helgason–Ludwig consistency conditions
Rashed et al. Statistical image reconstruction from limited projection data with intensity priors
Hahn Efficient algorithms for linear dynamic inverse problems with known motion
Klann et al. Wavelet methods for a weighted sparsity penalty for region of interest tomography
Wu et al. Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database
Bertolli et al. Sign determination methods for the respiratory signal in data-driven PET gating
Humphries et al. Superiorized algorithm for reconstruction of CT images from sparse-view and limited-angle polyenergetic data
Hu et al. A feature refinement approach for statistical interior CT reconstruction
Dang et al. Multi-resolution statistical image reconstruction for mitigation of truncation effects: application to cone-beam CT of the head
Zhong et al. 4D cone-beam CT reconstruction using multi-organ meshes for sliding motion modeling
Huang et al. Reference-free learning-based similarity metric for motion compensation in cone-beam CT
Li et al. Transmission-less attenuation estimation from time-of-flight PET histo-images using consistency equations
Dillon et al. Evaluating reconstruction algorithms for respiratory motion guided acquisition
Jailin et al. Projection-based dynamic tomography
Li et al. Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysis
Manhart et al. Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results