[go: up one dir, main page]

Lee et al., 2020 - Google Patents

3D MTF estimation using sphere phantoms for cone‐beam computed tomography systems

Lee et al., 2020

Document ID
2496459451683626367
Author
Lee C
Song H
Baek J
Publication year
Publication venue
Medical physics

External Links

Snippet

Purpose For cone‐beam computed tomography (CBCT) systems, we propose a sphere phantom based method to estimate the full three‐dimensional (3D) modulation transfer function (MTF). Methods The FDK reconstruction of CBCT system in a local region was …
Continue reading at aapm.onlinelibrary.wiley.com (other versions)

Classifications

    • 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
    • G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • 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
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/424—Iterative
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computerised tomographs
    • A61B6/032—Transmission computed tomography [CT]
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating 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
    • G01N23/02—Investigating 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/58—Testing, adjusting or calibrating devices for radiation diagnosis
    • A61B6/582—Calibration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques

Similar Documents

Publication Publication Date Title
Chen et al. Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods
Liu et al. Total variation-stokes strategy for sparse-view X-ray CT image reconstruction
Zhao et al. Experimental validation of a three‐dimensional linear system model for breast tomosynthesis
Richard et al. Towards task‐based assessment of CT performance: system and object MTF across different reconstruction algorithms
Zhou et al. A computer simulation platform for the optimization of a breast tomosynthesis system
Kyriakou et al. Empirical beam hardening correction (EBHC) for CT
Evans et al. Noise‐resolution tradeoffs in x‐ray CT imaging: a comparison of penalized alternating minimization and filtered backprojection algorithms
Zhu et al. Noise suppression in scatter correction for cone‐beam CT
Tilley et al. Model-based iterative reconstruction for flat-panel cone-beam CT with focal spot blur, detector blur, and correlated noise
Fahimian et al. Radiation dose reduction in medical x‐ray CT via Fourier‐based iterative reconstruction
Wang et al. Scatter correction for cone‐beam computed tomography using moving blocker strips: a preliminary study
Pineda et al. Beyond noise power in 3D computed tomography: the local NPS and off‐diagonal elements of the Fourier domain covariance matrix
Schmidt et al. A prototype table‐top inverse‐geometry volumetric CT system
Wang et al. Low‐dose preview for patient‐specific, task‐specific technique selection in cone‐beam CT
Wu et al. Evaluation of scatter effects on image quality for breast tomosynthesis
Yang et al. Noise power properties of a cone‐beam CT system for breast cancer detection
Staub et al. A digitally reconstructed radiograph algorithm calculated from first principles
Hernandez et al. Effects of kV, filtration, dose, and object size on soft tissue and iodine contrast in dedicated breast CT
Chen et al. Spatial resolution properties in cone beam CT: a simulation study
Sharma et al. Interior micro‐CT with an offset detector
Zheng et al. Effect of source blur on digital breast tomosynthesis reconstruction
Sunnegårdh et al. Regularized iterative weighted filtered backprojection for helical cone‐beam CT
Hofmann et al. Effects of ray profile modeling on resolution recovery in clinical CT
Hahn et al. A comparison of linear interpolation models for iterative CT reconstruction
Lee et al. 3D MTF estimation using sphere phantoms for cone‐beam computed tomography systems