Zhu et al., 2013 - Google Patents
Improved compressed sensing‐based algorithm for sparse‐view CT image reconstructionZhu et al., 2013
View PDF- Document ID
- 10797478850653001920
- Author
- Zhu Z
- Wahid K
- Babyn P
- Cooper D
- Pratt I
- Carter Y
- Publication year
- Publication venue
- Computational and mathematical methods in medicine
External Links
Snippet
In computed tomography (CT), there are many situations where reconstruction has to be performed with sparse‐view data. In sparse‐view CT imaging, strong streak artifacts may appear in conventionally reconstructed images due to limited sampling rate that …
- 238000002591 computed tomography 0 abstract description 40
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
- G06T11/006—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
- 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
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
- G06T2211/424—Iterative
-
- 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
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G06T15/00—3D [Three Dimensional] image rendering
-
- 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
-
- 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]
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhu et al. | Improved compressed sensing‐based algorithm for sparse‐view CT image reconstruction | |
Rückert et al. | Neat: Neural adaptive tomography | |
Thibault et al. | A three‐dimensional statistical approach to improved image quality for multislice helical CT | |
Tang et al. | Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms | |
US8571287B2 (en) | System and method for iterative image reconstruction | |
US6879715B2 (en) | Iterative X-ray scatter correction method and apparatus | |
EP2410491B1 (en) | System and method for reconstruction of X-ray images | |
RU2510080C2 (en) | Image processing device, image processing method and long-term information storage medium | |
Sun et al. | An iterative projection‐based motion estimation and compensation scheme for head x‐ray CT | |
US7840053B2 (en) | System and methods for tomography image reconstruction | |
US8897528B2 (en) | System and method for iterative image reconstruction | |
US20100284596A1 (en) | System and methods for fast implementation of equally-sloped tomography | |
WO2020151424A1 (en) | Limited-angle ct reconstruction algorithm based on anisotropic total variation | |
Pineda et al. | Beyond noise power in 3D computed tomography: the local NPS and off‐diagonal elements of the Fourier domain covariance matrix | |
Hamelin et al. | Design of iterative ROI transmission tomography reconstruction procedures and image quality analysis | |
Ziegler et al. | Efficient projection and backprojection scheme for spherically symmetric basis functions in divergent beam geometry | |
Xu et al. | Statistical iterative reconstruction to improve image quality for digital breast tomosynthesis | |
Friot et al. | Iterative tomographic reconstruction with TV prior for low-dose CBCT dental imaging | |
US6973157B2 (en) | Method and apparatus for weighted backprojection reconstruction in 3D X-ray imaging | |
Ertas et al. | Iterative image reconstruction using non-local means with total variation from insufficient projection data | |
Langet et al. | Compressed‐sensing‐based content‐driven hierarchical reconstruction: Theory and application to C‐arm cone‐beam tomography | |
Zeng et al. | A new iterative reconstruction algorithm for 2D exterior fan-beam CT | |
Lee et al. | 3D MTF estimation using sphere phantoms for cone‐beam computed tomography systems | |
Dong et al. | Tomographic reconstruction with spatially varying parameter selection | |
Gopi et al. | Iterative computed tomography reconstruction from sparse-view data |