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

Maidment et al., 2017 - Google Patents

Comparing the imaging performance of computed super resolution and magnification tomosynthesis

Maidment et al., 2017

Document ID
6529616730747796862
Author
Maidment T
Vent T
Ferris W
Wurtele D
Acciavatti R
Maidment A
Publication year
Publication venue
Medical Imaging 2017: Physics of Medical Imaging

External Links

Snippet

Computed super-resolution (SR) is a method of reconstructing images with pixels that are smaller than the detector element size; superior spatial resolution is achieved through the elimination of aliasing and alteration of the sampling function imposed by the reconstructed …
Continue reading at www.spiedigitallibrary.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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/032Transmission computed tomography [CT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material
    • G01N23/04Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material and forming a picture

Similar Documents

Publication Publication Date Title
Maidment et al. Comparing the imaging performance of computed super resolution and magnification tomosynthesis
Vent et al. Simulation and experimental validation of high-resolution test objects for evaluating a next-generation digital breast tomosynthesis prototype
Acciavatti et al. Analysis of volume overestimation artifacts in the breast outline segmentation in tomosynthesis
Choi et al. Geometric calibration for a next-generation digital breast tomosynthesis system using virtual line segments
Vent et al. Simulation of high-resolution test objects using non-isocentric acquisition geometries in next-generation digital tomosynthesis
Ferris et al. Geometric calibration for a next-generation digital breast tomosynthesis system
Ławicki et al. Application of curvelet transform for denoising of CT images
Vent et al. Quantification of resolution in multiplanar reconstructions for digital breast tomosynthesis
Noo et al. X-ray cone-beam imaging of the entire spine in the weight-bearing position
Zhang et al. Multi-slot extended view imaging on the O-Arm: image quality and application to intraoperative assessment of spinal morphology
Yang et al. Automatic measurement of rotation center for laminography scanning system without dedicated phantoms
Acciavatti et al. Optimizing the acquisition geometry for digital breast tomosynthesis using the Defrise phantom
Xiang et al. A geometric calibration method for cone beam CT system
Guo et al. Theoretically-exact filtered-backprojection reconstruction from real data on the line-ellipse-line trajectory
Li et al. Noise performance of statistical model based iterative reconstruction in clinical CT systems
Lee et al. Comparison of detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems
Petrov et al. Task-based artifact spread function estimation in digital breast tomosynthesis using a structured phantom
Petersson et al. Monte Carlo simulation of breast tomosynthesis: visibility of microcalcifications at different acquisition schemes
Acciavatti et al. Super-resolution in digital breast tomosynthesis: limitations of the conventional system design and strategies for optimization
Kim et al. Preliminary study on optimization of the stationary inverse-geometry digital tomosynthesis: x-ray source array
Lee et al. Directional MTF measurement using sphere phantoms for a digital breast tomosynthesis system
Yue et al. Evaluation of image quality of a deep learning image reconstruction algorithm
Cruz-Bastida et al. Pushing the boundaries of diagnostic CT systems for high spatial resolution imaging tasks
Lee et al. Investigation on lesion detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems with anatomical background
Divel et al. Image-domain insertion of spatially correlated, locally varying noise in CT images