[go: up one dir, main page]

Alenius, 1999 - Google Patents

On noise reduction in iterative image reconstruction algorithms for emission tomography: median root prior

Alenius, 1999

View PDF
Document ID
9631181341522903787
Author
Alenius S
Publication year

External Links

Snippet

In this study, a simple method was developed for reducing noise during the iterative reconstruction of emission tomography images. The emission images express the spatial distribution of a chemical compound, if possible in quantitative terms. The concentration of …
Continue reading at researchportal.tuni.fi (PDF) (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
    • 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
    • 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
    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • 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
    • G06T2207/10116—X-ray image
    • 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations

Similar Documents

Publication Publication Date Title
Qi et al. Resolution and noise properties of MAP reconstruction for fully 3-D PET
Geets et al. A gradient-based method for segmenting FDG-PET images: methodology and validation
Chornoboy et al. An evaluation of maximum likelihood reconstruction for SPECT
Hutton et al. Iterative reconstruction methods
Narayanan et al. An interior point iterative maximum-likelihood reconstruction algorithm incorporating upper and lower bounds with application to SPECT transmission imaging
Kaplan et al. A differential attenuation method for simultaneous estimation of SPECT activity and attenuation distributions
Alenius On noise reduction in iterative image reconstruction algorithms for emission tomography: median root prior
US10102650B2 (en) Model-based scatter correction for non-parallel-hole collimators
Welch et al. Implementation of a model-based nonuniform scatter correction scheme for SPECT
Cheng et al. HYPR4D kernel method on TOF PET data with validations including image-derived input function
Wagner et al. A model based algorithm for perfusion estimation in interventional C‐arm CT systems
Qi et al. Propagation of errors from the sensitivity image in list mode reconstruction
Bardsley et al. Hierarchical regularization for edge-preserving reconstruction of PET images
Muzic et al. A method to correct for scatter, spillover, and partial volume effects in region of interest analysis in PET
Wu et al. SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging
Hsieh et al. Projection space image reconstruction using strip functions to calculate pixels more" natural" for modeling the geometric response of the SPECT collimator
Zeng et al. Iterative reconstruction with attenuation compensation from cone-beam projections acquired via nonplanar orbits
Todd-Pokropek Theory of tomographic reconstruction
Szirmay-Kalos et al. Regularizing direct parametric reconstruction for dynamic pet with the method of sieves
Zhang et al. Infimal convolution‐based regularization for SPECT reconstruction
Zeng Filtered backprojection algorithm can outperform iterative maximum likelihood expectation‐maximization algorithm
Kalantari et al. Quantification and reduction of the collimator-detector response effect in SPECT by applying a system model during iterative image reconstruction: a simulation study
Bai et al. PET image reconstruction: methodology and quantitative accuracy
Bergounioux et al. Infimal convolution spatiotemporal PET reconstruction using total variation based priors
Hu et al. Ordered subsets Non-Local means constrained reconstruction for sparse view cone beam CT system